#DataGuidance

[osintelligence]

https://bit.ly/4a7KSIz - 🔒 The UK's Information Commissioner's Office (ICO) has mandated Serco to halt the use of biometric technology, including facial recognition and fingerprint scanning, at 38 leisure facilities it operates. This action comes after an investigation revealed that over 2,000 employees' biometric data were processed unlawfully for attendance and payroll purposes, with no option for staff to opt-out, highlighting a significant power imbalance. #DataProtection #EmployeeRights #BiometricData 🚫 UK Information Commissioner John Edwards criticized Serco Leisure for not adequately assessing the risks associated with biometric technology, emphasizing the irreversibility of biometric data versus traditional passwords. The ICO's directive includes the destruction of all unlawfully retained biometric data within three months, underlining the importance of privacy over business interests. #PrivacyRights #TechnologyEthics #WorkplaceSurveillance 🛑 Highlighting the issue's gravity, the enforcement notice affects not only Serco Leisure but also Serco Jersey and seven other community leisure trusts. These entities, known for their extensive involvement in various public service contracts, including pandemic response and criminal tagging, are now under scrutiny for their handling of sensitive employee data. #PublicTrust #CorporateAccountability #BiometricSurveillance 📚 In response to these findings, the ICO has issued new guidance for organizations on the legal and ethical use of biometric data. This aims to ensure that entities like Serco consider the potential risks and biases associated with biometric technology, promoting a more responsible and lawful approach to data management.

[philomathresearch]

Turning Numbers into Insights: Guide to Quantitative Data Analysis

Have you ever wondered how Netflix predicts which show you’ll binge-watch next? Or how brands know exactly when to push that tempting discount offer to your inbox?

The magic behind these hyper-targeted decisions isn’t a lucky guess — it’s the result of quantitative data analysis. At Philomath Research, we like to say: “Numbers alone don’t change the world — but insights drawn from them do.”

In this guide, we’ll break down what quantitative data analysis really means, why it’s crucial for businesses today, and how you can harness it to drive smarter, faster, and more confident decisions. Whether you’re a market researcher, a business leader, or a curious professional, this article will help you understand how to transform raw numbers into actionable insights.

Why Does Quantitative Data Matter?

Let’s start with a simple real-life example. Imagine you’re running an online fashion store. Last month, you sold 5,000 units of products — that’s a great number. But which products sold best? Which age group shopped the most? Which discount campaign worked? Did men or women spend more?

The numbers alone (i.e., 5,000 units) don’t answer these questions. You need quantitative analysis to break this data into meaningful chunks that can guide your future business strategy.

According to a 2024 Statista report, companies that are data-driven are 23 times more likely to acquire customers and 19 times more likely to be profitable compared to companies that don’t leverage data effectively. This is why quantitative data analysis isn’t just “nice to have” — it’s a business necessity.

What Is Quantitative Data Analysis?

Quantitative data analysis refers to the systematic process of examining numerical data to uncover patterns, relationships, and trends. It’s about going beyond the “what” to understand the “why” and the “how.”

At Philomath Research, our quantitative research teams collect, clean, process, and analyze data using advanced tools and methodologies — turning complex datasets into clear, actionable insights for businesses.

Some common sources of quantitative data include:

Customer surveys

Web analytics

Sales data

Market trends

Financial records

Operational metrics

Key Steps in Quantitative Data Analysis

Let’s break it down into five key steps — the same steps we follow at Philomath Research for our clients across industries.

1. Define Clear Objectives

Before diving into the numbers, ask the right questions.

What problem are you trying to solve?

What business decision needs support?

What outcomes matter most?

Without clear objectives, even the best data can lead you astray.

Philomath Research helps clients clarify their research objectives upfront, aligning the analysis with real business goals.

2. Collect Reliable Data

You need accurate, high-quality data — otherwise, your insights will be flawed. Sources can include:

Structured surveys

CRM systems

Website analytics tools

Point-of-sale systems

3. Clean and Prepare the Data

Real-world data is often messy — duplicates, missing values, inconsistencies. This stage involves:

Removing irrelevant data

Handling missing values

Standardizing formats

At Philomath, we use automated data cleaning tools combined with human oversight to ensure data integrity.

4. Analyze the Data

This is where the magic happens. Common quantitative analysis techniques include:

Descriptive statistics (mean, median, mode, standard deviation)

Regression analysis (understanding relationships between variables)

Factor analysis (identifying underlying factors in complex datasets)

Trend analysis (spotting patterns over time)

Hypothesis testing (validating assumptions)

5. Interpret and Present Insights

Numbers are only useful if they tell a story.

What trends stand out?

What actions do the results suggest?

What’s the business impact?

At Philomath Research, we transform data analysis into clear, visual dashboards and reports, helping stakeholders at all levels make confident, insight-driven decisions.

Real-Life Impact: Quantitative Analysis in Action

Here are some fresh real-world examples showing the power of quantitative analysis:

Healthcare: Hospitals using quantitative analysis of patient wait times achieved a 15 percent reduction in emergency room delays (source: 2024 Healthcare Innovation Report).

Retail: E-commerce brands leveraging A/B testing data saw up to 25 percent higher conversion rates on optimized product pages (based on internal Philomath Research client data, 2024).

Finance: Banks using regression models on customer credit data reduced loan default rates by 8 percent (source: 2024 Financial Services Analytics Benchmark).

The takeaway? Quantitative data analysis drives measurable results across industries.

Why Partner with Philomath Research?

At Philomath Research, we don’t just deliver numbers — we deliver business clarity.

End-to-end solutions: From survey design to final reporting

Advanced analytics: Cutting-edge statistical methods, predictive modeling, and AI tools

Industry expertise: Deep knowledge across sectors like healthcare, finance, retail, and telecom

Customized insights: Every project is tailored to your unique business challenges

Our mission is to help you unlock the full value of your data, transforming it into actionable insights that propel your business forward.

Ready to Turn Numbers into Insights?

If you’re sitting on piles of data but don’t know where to start, let us help.

Philomath Research specializes in:

Quantitative and qualitative research

Global data collection

Advanced analytics and modeling

We work with clients who want more than just dashboards — they want deeper understanding, better decisions, and measurable results.

Contact us today to explore how we can turn your numbers into insights that drive growth.

Final Thoughts

In today’s data-driven world, businesses can’t afford to ignore the power of quantitative data analysis. From identifying hidden patterns to predicting future trends, the right analysis can give you a competitive edge.

Remember, data by itself is just a tool — it’s the interpretation and action that create impact. And that’s where Philomath Research comes in: we help businesses transform raw data into clear, actionable strategies that move the needle.

Visit www.philomathresearch.com to learn more about our quantitative research services and how we can help you harness the power of data.

FAQs

1. What is quantitative data analysis? Quantitative data analysis is the process of systematically examining numerical data (such as survey responses, sales figures, or website metrics) to uncover patterns, trends, relationships, and insights that inform business decisions. It goes beyond simply reporting numbers — it explains the “why” and “how” behind them.

2. Why is quantitative data analysis important for businesses? Quantitative data analysis helps businesses make smarter, faster, and more confident decisions. By analyzing data, companies can identify what’s working, what needs improvement, and where future opportunities lie. According to a 2024 Statista report, data-driven companies are significantly more likely to acquire customers and achieve profitability.

3. What types of data are used in quantitative analysis? Common sources include:

Customer surveys

Web analytics

Sales records

Market trend reports

Financial data

Operational metrics

These data points provide the raw material needed for meaningful analysis.

4. What are the key steps in the quantitative data analysis process? The five main steps are:

Define clear objectives — Understand the problem or question you want to answer.

Collect reliable data — Gather high-quality data from trusted sources.

Clean and prepare the data — Remove errors, fill gaps, and ensure consistency.

Analyze the data — Use statistical methods and tools to explore relationships and trends.

Interpret and present insights — Transform findings into actionable recommendations and reports.

5. What tools and techniques are commonly used in quantitative data analysis? Some common methods include:

Descriptive statistics (mean, median, mode, standard deviation)

Regression analysis (understanding variable relationships)

Factor analysis (finding underlying patterns)

Trend analysis (examining changes over time)

Hypothesis testing (validating assumptions)

These tools help analysts make sense of complex datasets.

6. How does quantitative analysis benefit specific industries? Examples include:

Healthcare: Reducing patient wait times by analyzing hospital data.

Retail: Improving conversion rates through A/B testing on product pages.

Finance: Lowering loan default rates using predictive credit models.

Quantitative insights can lead to measurable improvements across almost any industry.

7. Why should businesses partner with Philomath Research for data analysis? Philomath Research offers:

End-to-end research solutions (from survey design to final reporting)

Advanced analytics using AI and statistical modeling

Deep industry expertise in sectors like healthcare, finance, retail, and telecom

Customized insights tailored to each client’s unique challenges

Philomath doesn’t just deliver numbers — they deliver business clarity.

8. Can Philomath Research help if we don’t know where to start with our data? Absolutely! Philomath Research specializes in helping businesses that have large datasets but are unsure how to turn them into actionable insights. Their team can guide you from the initial data exploration phase through to advanced modeling and strategy development.

9. How do I get in touch with Philomath Research to discuss my data needs? You can visit www.philomathresearch.com to learn more about their services or contact them directly to discuss your quantitative and qualitative research needs.

10. What’s the key takeaway from this guide? The main message is that data itself doesn’t create change — insights and actions do. Quantitative data analysis helps businesses transform raw numbers into meaningful strategies that drive growth, innovation, and competitive advantage.

[amrutatbrc1]

Cloud Based Workload Scheduling Software Market 2024 : Size, Growth Rate, Business Module, Product Scope, Regional Analysis And Expansions 2033

The cloud based workload scheduling software global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Cloud Based Workload Scheduling Software Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The cloud based workload scheduling software market size has grown rapidly in recent years. It will grow from $1.63 billion in 2023 to $1.83 billion in 2024 at a compound annual growth rate (CAGR) of 12.5%.  The  growth in the historic period can be attributed to the rise of cloud computing, scalability demands, and complexity of workload management.

The cloud based workload scheduling software market size is expected to see rapid growth in the next few years. It will grow to $2.98 billion in 2028 at a compound annual growth rate (CAGR) of 13.0%.  The growth in the forecast period can be attributed to edge computing integration, AI and machine learning integration, hybrid and multi-cloud adoption, data sovereignty and compliance, and industry-specific Solutions. Major trends in the forecast period include containerization and kubernetes orchestration, integration with infrastructure as code, and autonomous workload management systems.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/cloud-based-workload-scheduling-software-global-market-report

The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - The increasing adoption of cloud computing will propel the growth of cloud-based workload scheduling software going forward. Cloud computing refers to the delivery of computing services over the Internet, providing access to servers, storage, databases, networking, software, and other resources. The increasing adoption of cloud computing is driven by its cost efficiency, scalability, accessibility, security, and environmental benefits. Cloud computing utilizes cloud-based workload scheduling software to efficiently allocate and manage computing resources, optimizing workload distribution and execution across the cloud infrastructure. For instance, in December 2023, according to the European Union (EU), a Belgium-based governing body, the adoption of cloud-based solutions in 2023 in the European Union increased by 4.2%, with 45.2% of enterprises purchasing cloud computing services, indicating a significant surge compared to 2021. Therefore, there is an increasing adoption of cloud computing, which is driving the growth of the cloud-based workload scheduling software market.

Market Trends - Major companies operating in the cloud field service management market are focusing on technological advancements in Internet of Things integration, such as DataGuide, which provides integrated data capture and report generation capabilities. A data guide refers to providing customers with information about the data collected and its intended use and encompasses various aspects such as policy data, service outlet data items, or even printing and promotional items. For instance, in June 2022, Servicemax Technologies Private Limited, a US-based service execution management company, launched DataGuide. It enables comprehensive printing and promotional item solutions, an efficient print management system, seamless integration with field service automation products, and adherence to best practices for effective implementation.

The cloud based workload scheduling software market covered in this report is segmented –

1) By Type: Private Cloud, Public Cloud, Hybrid 2) By Pricing Model: Subscription-Based, Pay-As-You-Go 3) By Organization Size: Small And Medium Enterprises, Large Enterprises 4) By Application: Corporate Organizations, Government Institutions, Other Applications

Get an inside scoop of the cloud based workload scheduling software market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=14671&type=smp

Regional Insights - North America was the largest region in the cloud based workload scheduling software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud based workload scheduling software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Key Companies - Major companies operating in the cloud based workload scheduling software market are Microsoft Corporation, Dell Technologies, Amazon Web Services, International Business Machines Corporation, Cisco Systems Inc., Broadcom Inc., Vmware Inc., Chef Software Inc., Splunk Inc., BMC Software Inc, Datadog Inc., ManageEngine (Zoho Corporation Pvt. Ltd.), Citrix Systems Inc., New Relic Inc., HelpSystems LLC, HashiCorp Terraform, PagerDuty Inc., Turbonomic Inc., Puppet Inc., OpsRamp Inc., Stonebranch Inc., SaltStack Inc., Adaptive Computing Inc. , Redwood Software

Table of Contents 1. Executive Summary 2. Cloud Based Workload Scheduling Software Market Report Structure 3. Cloud Based Workload Scheduling Software Market Trends And Strategies 4. Cloud Based Workload Scheduling Software Market – Macro Economic Scenario 5. Cloud Based Workload Scheduling Software Market Size And Growth ….. 27. Cloud Based Workload Scheduling Software Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

Contact Us: The Business Research Company Europe: +44 207 1930 708 Asia: +91 88972 63534 Americas: +1 315 623 0293 Email: info@tbrc.info

Follow Us On: LinkedIn: https://in.linkedin.com/company/the-business-research-company Twitter: https://twitter.com/tbrc_info Facebook: https://www.facebook.com/TheBusinessResearchCompany YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ Blog: https://blog.tbrc.info/ Healthcare Blog: https://healthcareresearchreports.com/ Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

[techtweek]

Best Compliance Management Systems for PCI DSS and GDPR Compliance in 2024

In 2024, organizations handling sensitive data must comply with standards like PCI DSS (Payment Card Industry Data Security Standard) and GDPR (General Data Protection Regulation). Using a robust compliance management system is essential for maintaining data security and regulatory compliance. Here are some of the best compliance management systems available:

1. Qualys Compliance Suite

Qualys offers a comprehensive suite of applications that help organizations manage their PCI DSS and GDPR compliance needs. Its cloud-based platform provides continuous monitoring, automated auditing, and detailed reporting, making compliance management efficient and effective.

Key Features:

Continuous security monitoring

Automated vulnerability management

Detailed compliance reporting

Policy compliance assessments

2. TrustArc Privacy Management Platform

TrustArc provides solutions tailored to GDPR compliance. Its Privacy Management Platform helps businesses manage data privacy across the entire data lifecycle, from collection to deletion. TrustArc’s tools are designed to simplify compliance with GDPR’s rigorous requirements.

Key Features:

Data inventory and mapping

Risk assessments and DPIAs (Data Protection Impact Assessments)

Consent management

GDPR-specific reporting and analytics

3. Rapid7 InsightVM

Rapid7’s InsightVM is a powerful vulnerability management solution that supports PCI DSS compliance. It provides real-time visibility into vulnerabilities, assesses risk, and helps prioritize remediation efforts. InsightVM’s PCI DSS reporting capabilities streamline the compliance process.

Key Features:

Real-time vulnerability detection

Risk prioritization

Automated remediation workflows

PCI DSS-specific compliance reporting

4. OneTrust DataGuidance

OneTrust is a leading platform for privacy, security, and governance. It offers comprehensive tools for managing GDPR compliance, including regulatory research, data mapping, and privacy impact assessments. OneTrust helps businesses stay ahead of regulatory changes and manage their compliance programs effectively.

Key Features:

Global regulatory research

Data mapping and inventory

Privacy impact assessments

Consent and preference management

5. Vanta

Vanta is an automated security and compliance platform that simplifies the process of achieving and maintaining PCI DSS compliance. It offers continuous monitoring, automated evidence collection, and pre-built templates for faster audits. Vanta is ideal for small to mid-sized businesses looking for an efficient compliance solution.

Key Features:

Continuous security monitoring

Automated evidence collection

Pre-built compliance templates

Audit readiness support

6. MetricStream

MetricStream provides enterprise-wide governance, risk, and compliance (GRC) solutions. Its platform helps organizations manage both PCI DSS and GDPR compliance by offering integrated risk management, policy management, and compliance assurance.

Key Features:

Integrated risk and compliance management

Policy and document management

Compliance assurance and monitoring

Advanced reporting and analytics

Compliance Management Services in Sheridan, WY

For businesses located in Sheridan, WY, various local compliance management services are available to assist with PCI DSS and GDPR compliance. These services provide tailored support to help organizations navigate the complexities of regulatory requirements, ensuring data security and legal compliance. Whether you need help with compliance assessments, policy development, or continuous monitoring, local compliance management providers in Sheridan, WY can offer the expertise and resources necessary to meet your compliance needs.

Organizations can effectively safeguard sensitive data, minimize risks, and stay compliant with industry standards and regulations by utilizing the right compliance management system and local services.

[geone-ws]

The TanDEM-X 30m Edited DEM (EDEM) and the 30m TanDEM-X DEM Change Map (DCM) are available for the science community

https://geoservice.dlr.de/web/dataguide/tdm30/

[arquitecturas-digitalesedu30]

Global Privacy Laws | Leyes sobre protección de datos en el mundo @alaznegonzalez vía #dataguidance

See on Scoop.it - Arquitecturas digitales del aprendizaje para una educación 4.0

Click on a country below to dive into any privacy laws...

[rjzimmerman]

Ooops......zealous prosecutors should have done their homework earlier instead of waiting until they realized the evidence submitted wouldn’t support a conviction. While I think ExxonMobil is evil, I also believe that our legal process should be fair. Also......what will this do to the Massachusetts litigation, which I think is based upon the charges that New York State dropped?

Excerpt from this story from Climate Liability News:

The New York attorney general’s office said in the closing arguments of its climate fraud case against Exxon it is dropping two of the four fraud charges it had levied against the company. The announcement came as a surprise and drew the ire of Exxon’s lead attorney, who said the state should have dropped the chargers much earlier.

“Your honor, we did not come to this trial … to have them stand up after the evidence had been presented and after I gave my summation, to stand up and say they are not pressing the two claims that have caused in most respects the most severe reputational harm,” said Theodore V. Wells, who added that Exxon employees who testified are now left with a “cloud over their heads.”

To prove the charges of equitable fraud and common law fraud, the AG would have to show Exxon intentionally defrauded investors, something the state indicated it doesn’t think it has done. Instead, the state is concentrating on violations of the Martin Act, New York’s powerful anti-fraud statute that does not require the AG to prove intent. To earn a conviction on those charges, the AG needs to prove only that investors were deceived by the company.

Wells said he wanted a stipulation from the AG’s office stating that there had been no intentional misconduct by Exxon.

“Well I don’t think they’re going to give you that stipulation,” New York Supreme Court Judge Barry Ostrager said, adding he will dismiss the two charges with prejudice, meaning the charges can’t be refiled later.

The late morning fireworks notwithstanding, closing arguments revealed little new information. Both sides recounted their arguments, with the AG’s lawyers alleging that Exxon violated the Martin Act by failing to disclose it used two different sets of numbers to assess climate risk, one for shareholders and the other for its own internal calculations.

Over the course of nearly three weeks, the court heard testimony by Exxon employees, accountants, auditors and experts, and saw documents offering a glimpse into the inner workings of the oil giant, including a look at several versions of its DataGuide, an internal, previously confidential planning document that guides the company’s investment planning.

Exxon hasn’t denied that it used different numbers, but said it has made adequate disclosures and did not deceive investors.

[liesmyteachertoldme]

VAERS Reporting

2,374,283 Reports of Vaccine Adverse Events in VAERS

1,476,227 COVID Vaccine Adverse Reports

32,621 COVID Vaccine Reported Deaths

42,310 Total Reported Deaths

185,412 Total COVID Vaccine Reported Hospitalizations

269,579 Total Reported Hospitalizations

These numbers taken from VAERS through December 2, 2022

VAERS is the Vaccine Adverse Event Reporting System put in place in 1990. It is a voluntary reporting system that has been estimated to account for only 1%.

VAERS is widely acknowledged, even by the CDC, to be vastly underreported. From their Dataguide:

"'Underreporting' is one of the main limitations of passive surveillance systems, including VAERS. The term, underreporting, refers to the fact that VAERS receives reports for only a small fraction of actual adverse events. The degree of underreporting varies widely."

[kurano]

TypeORMが良さそうだ。

[stacietomlinson1]

via cybrtx

[cassidygallagherg]

OneTrust DataGuidance: Comparing privacy laws: GDPR v. CCPA

The General Data Protection Regulation (Regulation (EU) 2016/679) (‘GDPR’) and the California Consumer Privacy Act of 2018 (‘CCPA’) (SB-1121 as amended at the time of this publication) both aim to guarantee strong protection for individuals regarding their personal data and apply to businesses that collect, use, or share consumer data, whether the information was obtained from cybrtx https://ift.tt/2TQZzM2 via IFTTT

[brendonpower1]

via cybrtx

[maidavey9]

via cybrtx

[valentinopo]

OneTrust DataGuidance: Comparing privacy laws: GDPR v. CCPA

The General Data Protection Regulation (Regulation (EU) 2016/679) (‘GDPR’) and the California Consumer Privacy Act of 2018 (‘CCPA’) (SB-1121 as amended at the time of this publication) both aim to guarantee strong protection for individuals regarding their personal data and apply to businesses that collect, use, or share consumer data, whether the information was obtained from cybrtx https://ift.tt/2TQZzM2 via IFTTT

[ericvanderburg]

Privacy Tech: OneTrust acquires DataGuidance

http://securitytc.com/R0c7k3

[oracletutorial4u]

Tutorials on JSON in the @OracleDatabase: - Schema Discovery with the JSON Dataguide @bch_t https://t.co/mNngRy0uo3 https://t.co/VOB7f4R3cG