#Predictive and Prescriptive Analytics

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Aretove Technologies specializes in data science consulting and predictive analytics, particularly in healthcare. We harness advanced data analytics to optimize patient care, operational efficiency, and strategic decision-making. Our tailored solutions empower healthcare providers to leverage data for improved outcomes and cost-effectiveness. Trust Aretove Technologies for cutting-edge predictive analytics and data-driven insights that transform healthcare delivery.

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Predictive vs Prescriptive vs Descriptive Analytics Explained 

Business analytics leveraging data patterns for strategic moves comes in three key approaches – descriptive identifying “what has occurred", predictive forecasting “what could occur” and prescriptive recommending “what should occur” to optimize decisions. We decode the science behind each for aspiring analytics professionals.

Descriptive analytics convert volumes of historical data into insightful summaries around metrics revealing business health, customer trends, operational efficiencies etc. using direct analysis, aggregation and mining techniques producing current reports. 

Predictive analytics forecast unknown future probabilities applying statistical, econometric and machine learning models over existing data to minimize uncertainties and capture emerging behaviors early for mitigation actions. Risk models simulate scenarios balancing upside/downside tradeoffs. 

Prescriptive analytics take guidance one step further by dynamically recommending best decision options factoring in key performance indicators for business objective improvements after predicting multiple futures using bell curve simulations. Optimization algorithms deliver preferred actions.

While foundational data comprehension and wrangling abilities fuel all models – pursuing analytics specializations focused on statistical, computational or operational excellence boosts career-readiness filling different priorities global employers seek!

Posted By:

Aditi Borade, 4th year Barch,

Ls Raheja School of architecture 

Disclaimer: The perspectives shared in this blog are not intended to be prescriptive. They should act merely as viewpoints to aid overseas aspirants with helpful guidance. Readers are encouraged to conduct their own research before availing the services of a consultant.

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Best Data Analytics Course in Moradabad

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making best data analytics training course in Moradabad.

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First Sight (Chapter 2 of 7)

Carmella Hill entered the upscale Manhattan gym with the same precision she applied to cardiac surgery. Her workout bag hung from her shoulder at a precise forty-five-degree angle, the weight of it calibrated against her perfect posture. The glass doors parted before her like obedient patients, and she inhaled the familiar mixture of disinfectant and exertion that permeated the air. Her prescription glasses caught the light as she surveyed the space, mentally mapping her routine with the same exactitude she used to chart the chambers of a human heart.

The day's final consultations clung to her like a stubborn murmur, echoing in the recesses of her thoughts. Seven patients, three concerning arrhythmias, one potential valve replacement—the details filed with mechanical efficiency in the orderly cabinets of her mind.

She nodded curtly to the receptionist, a polite acknowledgment without the unnecessary complication of small talk. Her compression leggings hugged the sculpted contours of her thighs, the moisture-wicking fabric clinging to the considerable muscle she had cultivated through years of disciplined training.

The matching top accentuated her perfect physique, the material stretched taut across her breasts before tapering to reveal the ridges of her abdomen—six distinct sections of defined muscle that most anatomy textbooks would struggle to illustrate with such clarity. Carmella had constructed this body with the same methodical attention she applied to her medical practice, each muscle group an exercise in controlled perfection.

The locker room welcomed her with clinical fluorescence, the white surfaces reflecting her meticulous movements. She selected the same locker she always chose—third from the end, second row—and arranged her belongings with surgical precision. Shoes aligned perpendicular to the bench, towel folded in exact thirds, water bottle positioned for optimal hydration intervals. She removed her designer prescription glasses briefly, cleaning the lenses with a microfiber cloth she kept specifically for this purpose, ten clockwise circles followed by ten counterclockwise. The ritual was soothing, a controlled variable in the experiment of her day.

She adjusted the glasses on her nose, the world snapping back into analytical focus. Her reflection stared back at her from the locker room mirror—hair trimmed to fall precisely at her jawline, not a strand out of place despite the day's exertions. She stretched experimentally, feeling the pleasant tension in her muscles, cataloging the minor soreness in her left deltoid from yesterday's workout with detached interest.

The main floor of the gym pulsed with evening activity, the synchronized exertion of Manhattan's elite creating a rhythm as regular as any electrocardiogram. Carmella claimed her usual position on the mat near the free weights, appreciating both the optimal stretching space and the unobstructed sightlines to all major equipment. She began her warm-up with the same attention she gave to surgical preparation—each movement executed with deliberate purpose, her joints moving through precisely calculated ranges of motion.

Her focus was absolute, internal, a meditation on musculature and blood flow. Fifteen seconds per stretch, sixty seconds for compound movements, heart rate increasing by a predictable increment with each completed set. The routine was as familiar as her own heartbeat, requiring no conscious thought, leaving her mind free to process the day's diagnostic challenges. Until a flash of movement registered in her peripheral vision, disrupting the careful rhythm of her routine.

Carmella's head turned with clinical interest, her attention caught by unfamiliar motion across the gym floor. A new trainer—female, athletic build, vibrant red hair pulled back in a functional ponytail—was demonstrating proper form to a client attempting a complicated lift. The intrusion of novelty in her carefully calibrated environment was jarring, like an unexpected blip on an otherwise normal ECG reading.

Her stretch faltered, the symmetry of her movement compromised by the momentary distraction. Carmella corrected herself immediately, but her focus had shifted, her analytical gaze now recording data about the unknown trainer with the same precision she applied to echocardiograms.

The woman moved with remarkable authority, her hands confident as they adjusted her client's posture. Her freckled skin caught the gym's harsh lighting, creating a topography of light and shadow across impressively defined musculature. Carmella estimated her age at early forties based on subtle markers around her eyes, though her physique suggested someone decades younger. The contradiction was medically fascinating.

Carmella completed her hamstring stretch while cataloging the trainer's physical attributes with dispassionate expertise. The woman's quadriceps engaged with textbook perfection as she demonstrated a proper squat, the separation between muscle groups visible even from across the room.

Her arms displayed impressive vascularity, suggesting both exceptional cardiovascular health and remarkably low body fat percentage. The trainer's sports bra revealed abdominal definition comparable to Carmella's own—a rarity she had not observed in another woman at this gym.

She shifted into a hip flexor stretch, angling her body to maintain sightlines to the trainer. The woman's voice carried across the gym—authoritative, encouraging, with a timbre that suggested optimal lung capacity. "Control the movement," she instructed her client, the command resonating with unexpectedly personal impact in Carmella's ears.

Carmella observed the trainer's breathing pattern—diaphragmatic, efficient, approximately sixteen breaths per minute at rest. A textbook example of athletic conditioning. Her own breath synchronized unconsciously, matching the rhythm she observed. The synchronicity registered as a curious physiological response, one worthy of further study.

The trainer smiled at her client's progress, revealing teeth as perfect as her form. Carmella's pulse quickened by approximately twelve beats per minute—a reaction she noted with clinical detachment even as heat spread beneath her skin. She adjusted her glasses, ostensibly to improve visual acuity, though the trainer was already in perfect focus.

As she transitioned to her core warm-up, Carmella found her movements echoing the trainer's demonstrations—the angle of her spine, the engagement of her core muscles, unconscious mimicry that she recognized with mild professional embarrassment. She forced herself back into her established routine, though her attention remained divided, one part of her brain continuing to gather data on the red-haired trainer with the exceptional physique.

The woman's body was a testament to physiological optimization—large breasts that defied gravitational expectations, perfectly round gluteal development indicating comprehensive strength training protocols, the kind of muscle symmetry that medical textbooks illustrated but rarely manifested in living subjects.

Carmella found herself calculating body fat percentages, estimating muscle fiber composition, hypothesizing about cardiac output with the same intensity she applied to particularly complex cases. Her pulse remained elevated, a persistent tachycardia she couldn't attribute to her warm-up's modest exertion.

She noted the dilation of her own pupils in her compact mirror, the subtle flush spreading across her clavicles. The symptoms aligned with autonomic nervous system activation—a textbook stress response, though she wasn't experiencing stress in the conventional sense. Carmella completed her final stretch, her routine disrupted by these unexpected observations. She gathered her water bottle and towel, moving toward the cardio machines with more haste than precision.

For the first time in recent memory, her carefully constructed workout plan had been modified spontaneously, the cardio equipment selected not for its biomechanical advantages but for the unobstructed view it provided of the red-haired trainer across the gym floor. The deviation from routine should have troubled her. Instead, she felt a spark of something unfamiliar—static from the dry air, perhaps, but it jolted her nonetheless.

Carmella selected the elliptical machine with surgical precision, her decision based not on muscle group prioritization but on optimal sightlines to the free weights area. Her fingers gripped the handles with unusual tension, the programmed resistance on the machine failing to explain the sudden strain in her joints. She adjusted her glasses and began her cardio workout, her legs moving in perfect rhythm while her eyes fixed on the red-haired trainer with unwavering focus. The distance between them—approximately forty-two feet—was insufficient to prevent detailed observation.

From this vantage point, Carmella could catalog the trainer's physical attributes with greater specificity. The woman demonstrated a shoulder press to a middle-aged male client, her deltoids contracting with remarkable definition beneath freckled skin. Carmella estimated the weight at thirty pounds, noting with clinical interest how effortlessly the trainer manipulated the dumbbell, suggesting significant functional strength rather than merely aesthetic development.

When the trainer turned to adjust her client's form, the laminated badge clipped to her sports bra caught the overhead lighting. The distance would have rendered the text illegible to most observers, but Carmella's prescription glasses brought the name into perfect focus: Audrey O'Rourke. She repeated the name silently, the syllables joining the rhythmic data she was collecting.

Audrey moved to assist another client, a woman struggling with proper squat depth. The movement provided Carmella with a comprehensive view of her physique—large breasts contained in a high-performance sports bra, their perfect symmetry defying natural probability. Beneath them lay the most impressive abdominal development Carmella had witnessed outside her own reflection: six distinct sections of muscle, perfectly delineated, the kind of definition that required both genetic predisposition and relentless discipline.

Her eyes tracked lower, noting the muscular thighs that powered Audrey's movements, the exceptional balance maintained through a posteriorly-developed gluteal structure that matched Carmella's own carefully cultivated curves. The similarities in their physiques were striking—almost like examining her own body through an alternate genetic expression, one where melanin concentrated in freckle formations rather than distributing evenly.

Carmella's fingers adjusted the resistance on the elliptical machine higher, the increased exertion an unconscious response to the intensity of her observation. Her calculated stride never faltered, but her attention was no longer divided between exercise and analysis—it was wholly consumed by Audrey O'Rourke.

Based on subtle markers—the faint lines at the corners of her eyes when she smiled, the particular elasticity of skin at her neck, the development pattern of her musculature—Carmella's trained diagnostic eye estimated Audrey's age at early forties.

Yet her vitality, skin tone, and physical development suggested someone at least fifteen years younger. The contradiction was professionally fascinating, a physiological anomaly worthy of documentation. Audrey demonstrated a complex core movement for an older female client, her body bending with a flexibility that contradicted her muscular density.

Carmella found herself unconsciously adjusting her own posture on the elliptical, spine aligning to mirror the trainer's form. When Audrey inhaled deeply before instructing her client, Carmella's own breath synchronized without conscious intent. The involuntary mimicry was unlike her—a neurological response typically observed in individuals experiencing strong attraction or deep admiration.

Her hands were steady on the machine's handles, but she felt a warmth in her chest, an uncomfortable heat that she recognized as fascination bordering on fixation. The sensation was clinically significant—increased blood flow, endorphin release patterns consistent with attraction rather than exertion. Carmella cataloged these symptoms with the same precision she would apply to a patient, though the conclusions she reached were far more personal than professional.

Audrey's training schedule appeared systematic. Carmella observed her move from client to client with precise timing—thirty minutes per session, five minutes of transition and preparation between appointments. This regularity allowed Carmella to anticipate Audrey's movements, to adjust her own position on the cardio equipment to maintain optimal observation angles.

She found herself extending her cardio session well beyond her programmed twenty minutes, adding intervals with uncharacteristic spontaneity. Her usual workout called for weight training to follow cardio, but today's plan reconfigured itself around this unexpected variable. Deviation from established routine was uncommon for Carmella, a diagnostic flag her analytical mind could not ignore.

Audrey guided a new client through basic form principles, her hands making precise adjustments to the woman's shoulder alignment. Carmella counted Audrey's breaths during the demonstration—fourteen per minute, consistent with exceptional aerobic conditioning. Her movements suggested a resting heart rate of approximately 45-50 beats per minute, significantly below average even for elite athletes.

"Maintain control throughout the entire motion," Audrey instructed her client, her voice carrying across the gym with authoritative clarity. "The tempo is as important as the weight." Carmella found herself responding to the directive, adjusting her elliptical pace to a more controlled rhythm. The involuntary compliance was unprecedented, a surrender of autonomy that should have triggered immediate correction. Instead, she maintained the adjusted tempo, finding unexpected satisfaction in the synchronicity.

She continued her observation, noting the vascularity visible along Audrey's forearms as she demonstrated a rowing motion—clear evidence of exceptional circulation and minimal subcutaneous fat. When Audrey laughed at something her client said, Carmella observed the perfect symmetry of her facial expression, the precise angle of her neck as she tilted her head back. The movement exposed the carotid artery, and Carmella found herself estimating pulse rates from the subtle, visible pulsation.

Between clients, Audrey paused to drink water, and Carmella tracked the rhythmic contractions of her throat as she swallowed. The trainer wiped her brow with a small towel, the action revealing a momentary glimpse of additional freckles along her upper ribs. Carmella adjusted her glasses again, though her vision was perfectly clear.

Her own heart rate had increased beyond what the moderate exercise demanded. The monitor on the elliptical displayed 142 beats per minute—approximately 15% higher than expected for her current exertion level. The data point was anomalous, requiring explanation. Carmella attributed it to increased ambient temperature in the gym, though the environmental controls remained constant at 68 degrees Fahrenheit.

Forty-seven minutes into her extended cardio session, Carmella became aware of her persistent focus on Audrey. The realization brought an unusual sensation—a constriction in her chest, a heightened awareness of her own breathing pattern. Her clinical detachment, the professional distance she maintained even from her own physiological responses, showed the first evidence of structural weakness.

She observed Audrey demonstrating a perfect deadlift, the alignment of her spine textbook-precise, the engagement of her posterior chain displaying years of refined technique. The movement was poetry expressed through biomechanics, and Carmella found herself admiring more than mere form. The aesthetic appreciation registered as an unexpected variable in her otherwise analytical observation.

Audrey's green eyes caught the light as she turned, their brightness visible even from Carmella's calculated distance. The color created a striking contrast against her freckled skin and red hair—genetic expressions that together occurred in less than 2% of the population. The statistical rarity aligned with the exceptional nature of her physique, creating a subject of undeniable scientific interest.

Yet Carmella's continued observation had progressed beyond scientific curiosity. Her pupils remained dilated despite the gym's bright lighting. The elliptical's timer had long exceeded her planned duration. Her breathing pattern had altered to match Audrey's rhythm rather than optimizing for her own exercise efficiency.

These deviations from established patterns were symptomatic of something Carmella hesitated to diagnose, even in the privacy of her own analytical mind. She increased the resistance on the elliptical again, as if the additional physical challenge might distract from the intensifying fascination. The machine beeped in protest—she had reached maximum resistance, another boundary exceeded.

Her hands gripped the handles with unnecessary force, fingers registering the strain as they compressed against unyielding plastic. The excessive pressure did nothing to diminish the warmth spreading through her chest, a heat unrelated to exertion. Her clinical detachment, that carefully constructed barrier between observation and engagement, developed hairline fractures with each passing minute of study.

Carmella continued her extended observation, her body moving with mechanical precision while her mind documented every detail of Audrey O'Rourke with unprecedented attention. Her workout had transformed from a predictable exercise in control to an unexpected study in fascination, and the implications of this shift remained undiagnosed in her meticulous mind.

Carmella completed her final set with mechanical precision, each repetition a perfect mirror of the one before. Her body had performed to exact specifications, yet her mind had strayed far from its usual disciplined paths. She recorded her progress in the fitness tracking app on her phone, the data points failing to capture the most significant variable in today's workout. The time display showed she had exceeded her standard routine by twenty-seven minutes, an anomaly that would require explanation if she were her own patient.

Still, she found herself reluctant to leave, inventing additional stretches that positioned her within visual range of the trainer whose movements had captured her attention with such unexpected force. The gym had begun its evening transition, the crowd thinning as Manhattan's professionals departed for dinner reservations and evening commitments.

This temporal shift created a quieter environment, the reduced population density allowing for even more precise observation. Carmella positioned her mat with calculated casualness, the angle providing unobstructed sightlines to where Audrey had begun preparing for her personal workout.

She extended into a hamstring stretch, her flexibility allowing her to maintain the position with minimal effort while her attention remained fixed elsewhere. The charade of stretching was unlike her—a deliberate deception contrasting sharply with her typically straightforward methodology. She acknowledged the behavior as anomalous even as she continued it, adding unnecessary repetitions to prolong her presence.

Audrey bid goodbye to her final client of the evening, her red ponytail catching the light as she nodded a farewell. Her freckled hand raised in a brief wave, the musculature of her arm displaying exceptional definition even in this casual gesture. Carmella observed the trainer's preparation ritual with intense focus, cataloging each movement as Audrey arranged her equipment with a precision that rivaled Carmella's own.

With her professional obligations completed, Audrey transitioned to her personal training regimen with fluid efficiency. She began with a complex warm-up sequence, movements flowing together with choreographed precision. Her body moved through space with remarkable control, each position held with perfect stability before transitioning to the next. The display of kinesthetic awareness was exceptional, suggesting proprioceptive capabilities far exceeding population norms.

Carmella's stretch had long exceeded its optimal duration, but she maintained the position, her hamstrings protesting against the prolonged extension. The minor discomfort registered as irrelevant data compared to the significance of her observations. She shifted to another position, her eyes never leaving Audrey's form as the trainer moved to the free weights area.

Audrey began with compound movements, selecting weights that Carmella noted were approximately 65% heavier than those used by most female gym members. The trainer performed clean and press repetitions with impressive control, her body functioning as a single coordinated unit. The activation sequence of muscle groups was textbook-perfect—powerful contraction of the posterior chain initiating the movement, seamless transition to shoulder engagement for the press, controlled eccentric return.

The weight moved through space with deceptive ease, belying the significant force required. Carmella calculated the power output, estimating the caloric expenditure and oxygen consumption necessary to sustain such exertion. Her academic analysis ran parallel to a more visceral appreciation of the display before her—the sheen of exertion on freckled skin, the controlled rhythm of Audrey's breathing, the remarkable symmetry of muscle engagement across her frame.

Carmella reached for her water bottle, her fingers tightening around the plastic with unnecessary force. The container crinkled in protest, the sound drawing a momentary glance from a nearby gym member. She loosened her grip with conscious effort, the loss of physical control as alarming as it was unprecedented. Her usual precision had abandoned her, replaced by a tense energy that manifested in unexpected ways.

When Audrey moved to the squat rack, Carmella abandoned all pretense of stretching and relocated to the nearby abdominal training area. The new position provided continued sightlines while giving the appearance of purposeful exercise. She began a series of core exercises, her own remarkable abdominal definition visible as her top rode up slightly with each movement.

Audrey loaded the barbell with impressive weight—Carmella estimated 185 pounds—and positioned herself beneath it with perfect form. The depth of her squat defied conventional flexibility limitations, especially considering her muscular development.

Each repetition displayed exceptional control through both concentric and eccentric phases. Carmella counted the trainer's breaths, noting the efficient oxygen utilization pattern—two controlled inhalations per repetition, exhalation timed precisely with maximum exertion points. After completing three sets, Audrey moved to the deadlift platform.

The barbell was loaded progressively heavier, culminating in a weight Carmella calculated at approximately 225 pounds—exceptional for a woman of Audrey's size, regardless of her obvious strength. The trainer approached the bar with focused intensity, her red hair falling forward slightly as she positioned her stance.

The deadlift began with textbook form—spine neutral, shoulders retracted, core engaged. As Audrey initiated the pull, Carmella observed the sequential activation of muscle groups: hamstrings, gluteal muscles, erector spinae, trapezius. The coordination was flawless, the biomechanical efficiency nearly perfect. When the weight reached its apex, Audrey's body formed a living anatomy chart—every major muscle group visible beneath her skin, vascularity pronounced across her forearms and shoulders.

Carmella's grip tightened again, this time on the edge of the bench where she sat. Her own breathing had synchronized with Audrey's without conscious effort, her inhalations matching the trainer's preparatory breath before each lift. The physiological mirroring was beyond her control, her body responding to visual stimuli with unusual autonomy.

As Audrey completed her final deadlift repetition, a small smile of satisfaction crossed her face. The expression triggered an unexpected response in Carmella—a constriction in her chest, a momentary acceleration of her pulse that had nothing to do with her minimal exertion. She adjusted her glasses again, the habitual gesture failing to create its usual sense of control.

Her professional curiosity had fully merged with personal fascination, the clinical boundaries she maintained with such vigilance now permeable and uncertain. Carmella's mind still cataloged the objective data—muscle recruitment patterns, biomechanical efficiency, estimated metabolic rates—but these observations were colored by an appreciation that extended far beyond scientific interest.

She noted with analytical detachment the physical signs of her own response: pupils dilated to approximately 5mm despite the bright gymnasium lighting, respiratory rate increased to 18 breaths per minute without corresponding exertion, surface temperature elevated by an estimated 1.2 degrees Celsius. The constellation of symptoms aligned with a diagnosis she was reluctant to acknowledge, even to herself.

Audrey moved to the cable machine, adjusting the settings with practiced efficiency. Her arms extended in the first repetition of a pull-down, the latissimus dorsi muscles expanding like wings beneath her freckled skin. The visual impact was striking—anatomical perfection expressed through functional movement. Carmella found herself leaning forward slightly, reducing the distance between observation and subject by an incremental but meaningful margin.

When Audrey turned slightly, her bright green eyes swept across the gym in a casual survey. For a fraction of a second, her gaze intercepted Carmella's, the brief connection sending an unexpected current through the doctor's carefully controlled system. Carmella looked away with uncharacteristic haste, her usual composure fracturing under the momentary recognition.

The exchange, brief as it was, triggered an abrupt awareness in Carmella of the duration and intensity of her observation. She had maintained surveillance of a single subject for approximately seventy-three minutes—an unprecedented allocation of attention that couldn't be justified by professional curiosity alone.

The realization brought with it an uncomfortable heat that spread across her chest and neck, a physiological response she recognized as embarrassment—another rarity in her emotional landscape. She gathered her belongings with uncharacteristic haste, the precision of her usual packing routine abandoned in favor of expedience.

Her water bottle was secured with minimal attention to its alignment in her bag, her towel folded in halves rather than precise thirds. These deviations from standard protocol were further evidence of her disturbed equilibrium. As she moved toward the exit, Carmella permitted herself one final glance at Audrey.

The trainer had begun a set of pull-ups, her body rising with controlled power, freckled arms displaying striated musculature that medical textbooks rarely captured with such clarity. The image burned itself into Carmella's memory with perfect resolution, a data point that would not be easily filed away. She pushed through the glass doors into the evening air, the temperature differential providing momentary clarity.

Her mind, typically ordered and methodical, now buzzed with calculations, observations, and an unfamiliar undercurrent of anticipation. She found herself automatically adjusting tomorrow's schedule, creating a precise window that would align with Audrey's training hours. The modification to her routine should have registered as problematic—a deviation from optimal efficiency based on non-essential factors.

Instead, she felt a curl of something like satisfaction as she confirmed the adjusted timing in her calendar. Her ordered mind, usually filled with cardiac rhythms and diagnostic puzzles, now contained new data points: the exact shade of Audrey's green eyes, the precise pattern of freckles across her shoulders, the perfect arc of her spine during a deadlift.

Carmella walked toward her apartment with measured steps, her exterior composure gradually reasserting itself even as her thoughts remained fixed on the exceptional physical specimen she had observed. Tomorrow's return to the gym had transformed from a matter of routine to an exercise in anticipation, and the distinction was as troubling as it was exhilarating.

[ckmstudies]

June 24th:

Almost three and a half hours of studying done today! I need to hit just under three hours tomorrow to make my 20 hour weekly study goal! This will be the first time in four weeks that I've made it. I'll probably go for 25 hours next week considering I'm still behind. I'm supposed to have finished areas three and four including the second mini exam by tomorrow but I've just finished area three tonight. I also started my review of area three for my area three practice exam that I'm hoping to take tomorrow. Tomorrow's goals are to finish reviewing area three and take the practice exam as well as finish modules one and two of area four. I really need to grind it this next week to be anywhere near ready for this exam in just 25 days. My study course recommends over two weeks of revision before the exam and there's no way I can make that but I can try for a week and a half at least.

Today's accounting topic: Auditors use descriptive, prescriptive, predictive, and diagnostic analytics to analyze accounting information to help with understanding the client's course of business as well as identify material misstatements.

Other activity: I went to the craft store with my mom and looked at all the yarn which was super calming but I didn't buy any because I already have too much and I couldn't think of anything to make.

[rise2research]

The Automation Revolution: How Embedded Analytics is Leading the Way

Embedded analytics tools have emerged as game-changers, seamlessly integrating data-driven insights into business applications and enabling automation across various industries. By providing real-time analytics within existing workflows, these tools empower organizations to make informed decisions without switching between multiple platforms.

The Role of Embedded Analytics in Automation

Embedded analytics refers to the integration of analytical capabilities directly into business applications, eliminating the need for separate business intelligence (BI) tools. This integration enhances automation by:

Reducing Manual Data Analysis: Automated dashboards and real-time reporting eliminate the need for manual data extraction and processing.

Improving Decision-Making: AI-powered analytics provide predictive insights, helping businesses anticipate trends and make proactive decisions.

Enhancing Operational Efficiency: Automated alerts and anomaly detection streamline workflow management, reducing bottlenecks and inefficiencies.

Increasing User Accessibility: Non-technical users can easily access and interpret data within familiar applications, enabling data-driven culture across organizations.

Industry-Wide Impact of Embedded Analytics

1. Manufacturing: Predictive Maintenance & Process Optimization

By analyzing real-time sensor data, predictive maintenance reduces downtime, enhances production efficiency, and minimizes repair costs.

2. Healthcare: Enhancing Patient Outcomes & Resource Management

Healthcare providers use embedded analytics to track patient records, optimize treatment plans, and manage hospital resources effectively.

3. Retail: Personalized Customer Experiences & Inventory Optimization

Retailers integrate embedded analytics into e-commerce platforms to analyze customer preferences, optimize pricing, and manage inventory.

4. Finance: Fraud Detection & Risk Management

Financial institutions use embedded analytics to detect fraudulent activities, assess credit risks, and automate compliance monitoring.

5. Logistics: Supply Chain Optimization & Route Planning

Supply chain managers use embedded analytics to track shipments, optimize delivery routes, and manage inventory levels.

6. Education: Student Performance Analysis & Learning Personalization

Educational institutions utilize embedded analytics to track student performance, identify learning gaps, and personalize educational experiences.

The Future of Embedded Analytics in Automation

As AI and machine learning continue to evolve, embedded analytics will play an even greater role in automation. Future advancements may include:

Self-Service BI: Empowering users with more intuitive, AI-driven analytics tools that require minimal technical expertise.

Hyperautomation: Combining embedded analytics with robotic process automation (RPA) for end-to-end business process automation.

Advanced Predictive & Prescriptive Analytics: Leveraging AI for more accurate forecasting and decision-making support.

Greater Integration with IoT & Edge Computing: Enhancing real-time analytics capabilities for industries reliant on IoT sensors and connected devices.

Conclusion

By integrating analytics within existing workflows, businesses can improve efficiency, reduce operational costs, and enhance customer experiences. As technology continues to advance, the synergy between embedded analytics and automation will drive innovation and reshape the future of various industries.

To know more: data collection and insights

data analytics services

[xaltius]

Business Analytics vs. Data Science: Understanding the Key Differences

In today's data-driven world, terms like "business analytics" and "data science" are often used interchangeably. However, while they share a common goal of extracting insights from data, they are distinct fields with different focuses and methodologies. Let's break down the key differences to help you understand which path might be right for you.

Business Analytics: Focusing on the Present and Past

Business analytics primarily focuses on analyzing historical data to understand past performance and inform current business decisions. It aims to answer questions like:

What happened?

Why did it happen?

What is happening now?

Key characteristics of business analytics:

Descriptive and Diagnostic: It uses techniques like reporting, dashboards, and data visualization to summarize and explain past trends.

Structured Data: It often works with structured data from databases and spreadsheets.

Business Domain Expertise: A strong understanding of the specific business domain is crucial.

Tools: Business analysts typically use tools like Excel, SQL, Tableau, and Power BI.

Focus: Optimizing current business operations and improving efficiency.

Data Science: Predicting the Future and Building Models

Data science, on the other hand, focuses on building predictive models and developing algorithms to forecast future outcomes. It aims to answer questions like:

What will happen?

How can we make it happen?

Key characteristics of data science:

Predictive and Prescriptive: It uses machine learning, statistical modeling, and AI to predict future trends and prescribe optimal actions.

Unstructured and Structured Data: It can handle both structured and unstructured data from various sources.

Technical Proficiency: Strong programming skills (Python, R) and a deep understanding of machine learning algorithms are essential.

Tools: Data scientists use programming languages, machine learning libraries, and big data technologies.

Focus: Developing innovative solutions, building AI-powered products, and driving long-term strategic initiatives.

Key Differences Summarized:

Which Path is Right for You?

Choose Business Analytics if:

You are interested in analyzing past data to improve current business operations.

You have a strong understanding of a specific business domain.

You prefer working with structured data and using visualization tools.

Choose Data Science if:

You are passionate about building predictive models and developing AI-powered solutions.

You have a strong interest in programming and machine learning.

You enjoy working with both structured and unstructured data.

Xaltius Academy's Data Science & AI Course:

If you're leaning towards data science and want to delve into machine learning and AI, Xaltius Academy's Data Science & AI course is an excellent choice. This program equips you with the necessary skills and knowledge to become a proficient data scientist, covering essential topics like:

Python programming

Machine learning algorithms

Data visualization

And much more!

By understanding the distinct roles of business analytics and data science, you can make an informed decision about your career path and leverage the power of data to drive success.

[drdemonprince]

kontextmaschine was never afraid to reblog a post, no matter how low note or niche, and type directly into the reblog text some totally unhinged idiosyncratic shit. he wasnt afraid to post about the kind of porn he was into (girls peeing themselves, guys dominating him). he would share nearly any persona anecdote from his past or present. he talked about the finest gradients of his motor control disability and slight changes in how he jerked off with equal clinical fascination and absolutely no shame. he resolutely did not care if one of his takes on history or on the current political climate didnt sound good, so long as he had support for it. in historical and political matters he was descriptive and analytic, not prescriptive -- which meant his interpretation on what had happened and why could madden just about anyone, but it was never without its reasoning. he correctly predicted the vicissitudes of the portland real estate market. he spoke about being super rich and super intelligent without any of the usual performative hedging that people who are not so secretly proud of such things normally do, so you could actually engage with him directly as That Type of Guy and he wouldnt be threatened by it. if you disagreed with him or even if you insulted him outright, he did not care, he would engage with you earnestly if you said anything that was interesting to him. he just rolled through life motivated by his own strange constellation of beliefs and took things at face value and was never ashamed of what he felt or what fascinated him, and i think there's a lot that many of us can learn from that even if a lot of us have really different value systems from him

[elsa16744]

Business Potential with Data Management and Analytics Services

In today's data-driven world, businesses are increasingly relying on data to make informed decisions and drive strategic growth. As organizations collect and generate vast amounts of data, the need for effective data management and analytics services becomes paramount. This is where data analytics consulting services play a crucial role. By harnessing the power of data, businesses can gain valuable insights, enhance operational efficiency, and achieve a competitive edge.

The Importance of Data Management

Data management is the foundation upon which successful data analytics is built. It involves the process of collecting, storing, and organizing data in a manner that ensures its accuracy, accessibility, and security. Effective data management allows organizations to maintain high-quality data that is essential for accurate analysis and decision-making.

Data Collection and Integration

The first step in data management is collecting data from various sources. This can include transactional data, customer interactions, social media, and more. Integrating these diverse data sources into a unified system is crucial for creating a comprehensive view of the business landscape. Data analytics consulting services assist organizations in designing and implementing robust data integration strategies, ensuring that all relevant data is captured and consolidated efficiently.

Data Storage and Organization

Once data is collected, it needs to be stored and organized in a structured manner. This involves setting up databases and data warehouses that can handle large volumes of data while maintaining data integrity. Data management services ensure that data is stored securely and is easily retrievable when needed. Effective data organization also involves categorizing data into meaningful segments, making it easier to analyze and derive insights.

Data Quality and Governance

Maintaining high data quality is essential for accurate analysis. Data management services focus on implementing data quality frameworks that ensure data is accurate, complete, and consistent. Data governance practices are also put in place to manage data policies, standards, and compliance. This helps organizations avoid data-related issues and ensures that data analytics efforts are based on reliable information.

Leveraging Data Analytics

Once data is properly managed, the next step is to leverage it through advanced analytics. Data analytics services help businesses transform raw data into actionable insights that can drive decision-making and strategic planning.

Descriptive Analytics

Descriptive analytics involves analyzing historical data to understand past performance and identify trends. This type of analysis provides a clear picture of what has happened in the past and helps organizations gain insights into their operations. Data analytics consulting services use various statistical and analytical techniques to uncover patterns and trends in historical data, enabling businesses to make data-driven decisions.

Predictive Analytics

Predictive analytics goes a step further by using historical data to forecast future outcomes. By applying statistical models and machine learning algorithms, businesses can predict trends, customer behavior, and potential risks. This proactive approach allows organizations to anticipate challenges and opportunities, making it possible to take preemptive actions. Data analytics consulting services provide expertise in building and deploying predictive models that can enhance business forecasting and planning.

Prescriptive Analytics

Prescriptive analytics offers recommendations for actions based on data insights. It involves using optimization techniques and simulation models to suggest the best course of action for achieving desired outcomes. This type of analytics helps businesses make informed decisions by providing actionable recommendations that align with their strategic goals. Data analytics consulting services assist organizations in developing prescriptive models that guide decision-making and improve overall performance.

The Role of Data Analytics Consulting Services

Data analytics consulting services are essential for helping businesses navigate the complexities of data management and analytics. These services provide expertise and support in various aspects of data analytics, including strategy development, implementation, and optimization.

Strategy Development

Data analytics consultants work closely with organizations to develop data strategies that align with their business objectives. This involves identifying key performance indicators (KPIs), setting data goals, and defining the scope of analytics initiatives. By creating a comprehensive data strategy, consultants ensure that data analytics efforts are focused and effective.

Implementation and Optimization

Once the strategy is in place, data analytics consultants assist with the implementation of data management systems and analytics tools. This includes setting up data infrastructure, integrating data sources, and deploying analytics solutions. Consultants also provide ongoing support to optimize data processes and ensure that analytics tools are used effectively.

Insights and Recommendations

One of the primary benefits of data analytics consulting services is the ability to generate actionable insights and recommendations. Consultants analyze data to uncover trends, identify opportunities, and provide recommendations for improving business performance. These insights help organizations make informed decisions and drive strategic growth.

Conclusion

In an era where data is a valuable asset, effective data management and analytics services are crucial for unlocking business potential. By leveraging data analytics consulting services, organizations can ensure that their data is well-managed, their analytics efforts are targeted, and their decision-making is driven by actionable insights. As businesses continue to navigate the complexities of the data landscape, investing in data management and analytics services will remain a key factor in achieving long-term success.

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Various services provided by Aretove includes Data Science, Predictive Analytics, Applied AI, Business Intelligence, Data Engineering, Big Data & Analytics

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No One Will Ever Teach You About Data Analytics in a Very Simple Way with Real-Time Examples

In today's modern digital world, data is all around us. Every time you use your smartphone, buy something online, or share something on social media, you're creating data. But why is data important, and how can we use it to make better decisions? That's where data analytics comes into play, and in this blog, we'll explain it in simple terms.

What is data analytics?

At its core, data analytics is like a detective for the digital world. It's the process of looking closely at data, cleaning it up, changing it into useful information, and figuring out what it tells us. This information helps people and organisations make smart choices, solve problems, and even guess what might happen in the future.

How does data analytics work?

Imagine you run a small ice cream shop in your neighborhood. You sell different flavours, from classic chocolate to unique mango. To run your shop well, you need to make good choices about which flavours to have and when to offer them. That's where data analytics can help, and I'll show you how it works using a simple example.

Data Collection

Every day, you keep a record of which ice cream flavours you sell and keep an eye on the weather. You also note whether it's a regular weekday or a fun weekend.

Data Analysis

After a few months, you have a pile of notebooks filled with sales data. You use a special computer programme to look at all this information.

Descriptive Analytics: You make graphs and charts to see which flavours are liked the most. For instance, you notice that chocolate sells well all year.

Diagnostic Analytics: Digging deeper, you discover patterns, like mango ice cream being a hit on hot weekends and vanilla being popular on weekdays.

Predictive Analytics

Here's where it gets exciting. Using past data, your analytics tool can make guesses. It tells you that the next weekend will be very hot. So, you decide to order more mango ice cream to be ready for the extra demand.

Prescriptive Analytics

Now, it's not just about guessing. You also get advice on what to do. Your analytics tool suggests that during the weekdays, you could offer a discount on vanilla to bring in more customers.

Implementing Changes

You follow the advice and give discounts on vanilla during the weekdays. You also make sure to have plenty of mango ice cream for the upcoming hot weekend.

Seeing Results

When the hot weekend comes, customers are happy to see lots of mango ice cream, and sales go up. On weekdays, the discount on vanilla brings in more customers and boosts sales.

This process keeps going, and you continue using data analytics to make good choices about flavours, discounts, and how much ice cream to have in stock. Your ice cream shop becomes more successful because you're using data to understand what customers like and how the weather affects sales.

In short, data analytics is like having a crystal ball for your business. It helps you understand what happened in the past (descriptive), why it happened (diagnostic), guess what might happen in the future (predictive), and suggest what you should do about it (prescriptive). Whether you run an ice cream shop or a big company, data analytics helps you make smarter decisions in real-time.

If you want to learn more about data analytics or need help using it in your business, you can talk to experts or take specialised courses. For example, ACTE Institute offers comprehensive data analytics training programmes that can give you the knowledge and skills you need, including job placement and certification. So, get ready to learn, explore the tools, and start turning data into valuable insights!

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Java vs. Other Programming Languages: Which Course Should You Take?

In conclusion, selecting the right programming language course is a significant decision. Java, with its versatility and wide range of applications, is a strong contender, but your choice should align with your career goals and interests. There's no one-size-fits-all answer to the question of which programming language course to take. Your decision should be a thoughtful one, taking into account your unique circumstances and aspirations. For top-quality training, you can refer to any institution that provides the Best Java Training Course in Moradabad, Rampur, Bareilly, Noida, and various other cities in India to kickstart your programming career. Your journey towards becoming a proficient programmer starts here.

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‏1- التحليلات الوصفية Descriptive analytics:

‏هذا النوع من التحليلات يجاوب على سؤال ماذا حدث في الماضي؟ حيث يتم استخدم أدوات ذكاء الأعمال وتصوير البيانات بهدف وصف مشكلة أو حدث معين حصل في الماضي وتحديد ماهي أبعاده وأنماطه.

‏2- التحليلات التشخيصية Diagnostic analytics:

‏هذا النوع من التحليلات يجاوب على سؤال لماذا حدثت هذه المشكلة أو هذا الحدث وماهي أسبابه؟ حيث يتم استخدام أدوات التعرف على تحليل المشكلة وتتبع جذورها و استخدام أدوات متقدمة في استدعاء البيانات واكتشافها.

‏3- التحليلات التنبؤية Predictive analytics: حيث يجاوب هذا النوع من التحليلات على سؤال مالذي سيحدث في المستقبل؟ حيث يتم استخدم خوارزميات الذكاء الاصطناعي للاستشراف المستقبل والتنبؤ بأحداثه بعد تدريب النموذج على البيانات التي تم جمعها في الماضي.

‏4- التحليلات التوجيهية Prescriptive analytics: حيث يجاوب هذا النوع من التحليلات على سؤال مالذي يجب فعله لتفادي مشكلة تم التنبؤ بها؟ حيث يتم استخدام أدوات المحاكاة ونماذج التحسين والتوأمة الرقمية للتعامل مع المشاكل التي تم توقعها لتقليل مخاطرها وأثرها على الجهة.

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What is Data Analytics in simple words?

Descriptive analytics: – The most basic type of data analytics analyses historical data to identify patterns and relationships. An example of descriptive analytics is analysing sales data to understand trends in monthly revenue. By examining historical sales figures, a company can identify patterns, seasonality, and peak sales periods, helping them make informed decisions about inventory management, marketing strategies, and sales forecasting.

Diagnostic analytics: – Helps businesses understand why things happen by examining data to identify patterns, trends, and connections. For example, data analysts may identify anomalies in the data, collect data related to these anomalies, and implement statistical techniques to find relationships and trends that explain the anomalies.

Predictive analytics: – Uses data analysis, machine learning, artificial intelligence, and statistical models to find patterns that might predict future behaviour.

Prescriptive analytic:– A statistical method that uses both descriptive and predictive analytics to find the ideal way forward or action necessary for a particular scenario. Prescriptive analytics focuses on actionable insights rather than data monitoring.

I hope this blog finds you well and proves to be a valuable resource in your quest for knowledge. If you want to become a data analytics then you must join our Data analytics course. May the information you seek, guide you toward success and growth, Thank you for exploring, and May you find it truly beneficial.

link source:-https://www.dicslaxminagar.com/blog/what-is-data-analytics-in-simple-words/

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Data Science Career Prospects for International Graduates in Canada

With the Toronto-Waterloo innovation corridor branded as Canada’s Silicon Valley and Montreal rising as an AI hub - data science graduates find unmatched career mobility given the specialized talent crunch amidst booming tech ecosystems nationwide seeking analytics, machine learning and business intelligence experts across sectors.

Whether it is global networks like Deloitte, CISCO, IBM, Aviva,SAP, Thomson Reuters looking to drive data-informed decisions or emerging startups tackling complex business challenges using predictive models - Canadian employers offer exciting learning opportunities for international students transitioning into full-time high-skilled roles.

Lucrative data science salaries averaging over CAD $80,000 for entry roles also make Canada appealing for applicants focused on immigration pathways. Generous 3-year post graduate work permits enable valuable Canadian work experience for express entry eligibility. PR also facilitates global mobility to the USA given NAFTA relationships. 

While successfully securing full-time employment necessitates preparing for rigorous recruitment cycles - leveraging university career center supports around CV guides, networking events and interview preps can make landing aspirational data science jobs after graduation achievable given Canada’s expanding analytics market.

Posted By:

Aditi Borade, 4th year Barch,

Ls Raheja School of architecture

Disclaimer: The perspectives shared in this blog are not intended to be prescriptive. They should act merely as viewpoints to aid overseas aspirants with helpful guidance. Readers are encouraged to conduct their own research before availing the services of a consultant.