#Data Science Consultant

[olivia-davis-lucent]

Are You Using Data the Right Way to Drive Business Success?

What if your business decisions were always backed by data, not just gut feelings? 🚀

Our latest blog, "How Data Science Consulting Helps Businesses Make Smarter, Data-Driven Decisions," reveals how companies leverage data science to predict trends, optimize operations, and stay ahead of the competition. Whether you’re drowning in data or struggling to extract value, this blog will show you how expert consulting can turn numbers into game-changing strategies. Don’t just collect data—use it to win!

👉 Read now: How Data Science Consulting Helps Businesses Make Smarter, Data-Driven Decisions

[gouravsapra]

Data analytics services aren’t just about analyzing data—they’re about unlocking new opportunities for your business. By leveraging expert analytics, you can drive smarter decisions, optimize processes, and maximize your ROI.

[lifescienceintellipedia]

US Chemical Manufacturing | Emerging Trends & Impact on Global Markets

The chemical industry in the United States boasts of high rankings, and the market is dominated by this industry. Contemporary concerns in chemical manufacturing outlining the chemical industry’s prospects are sustainable development, innovation, and digitalization. Such trends are not only reflected at the level of the domestic market in the United States but also have consequences for markets all over the world. This blog focuses on the current trends in the chemical manufacturing in the United States also discusses the factors that influence chemical industry of United States in the global market.

[softmaxai]

Data Science Consulting Services

SoftmaxAI is the best data science consulting company, expert in data science services to empower your business. We provide a wide range of data science services including data cleaning and preparation, data analysis and visualization, machine learning model development and much more. Our experts with an in-depth understanding of technologies guide enterprises through the process of data science and implementation for efficient growth.

[kamalkafir-blog]

Specialist Mental Health Staff Nurse

Job title: Specialist Mental Health Staff Nurse Company: NHS Job description: . At CWP we are committed to supporting the wellbeing of our staff and we therefore have regular engagement events to support… and Liverpool. We also provide specialist services for the North West as a whole. Our aim is to help improve the lives… Expected salary: £29970 – 36483 per year Location: Chester Job date: Mon,…

[aianddata]

Tableau Sales Dashboard Performance

Business heads often use KPI tracking dashboards that provide a quick overview of their company’s performance and well-being. A KPI tracking dashboard collects, groups, organizes and visualizes the company’s important metrics either in a horizontal or vertical manner. The dashboard provides a quick overview of business performance and expected growth.

An effective and visually engaging way of presenting the main figures in a dashboard is to build a KPI belt by combining text, visual cues and icons. By using KPI dashboards, organizations can access their success indicators in real time and make better informed decisions that support long-term goals.

What is a KPI?

KPIs  (i.e.Key Performance Indicators) are also known as performance metrics, performance ratios or business indicators. A Key Performance Indicator is a measurable value that demonstrates how effectively a company is achieving key business objectives.

A sales tracking dashboard provides a complete visual overview of the company’s sales performance by year, quarter or month. Additional information such as the number of new leads and the value of deals can also be incorporated.

Example of KPIs on a Sales Dashboard:

Number of New Customers and Leads

Churn Rate (i.e. how many people stop using the product or service)

Revenue Growth Rate

Comparison to Previous Periods

Most Recent Transactions

QTD (quarter to date) Sales

Profit Rate

State Wise Performance

Average Revenue for Each Customer

Bringing It All Together with Dashboards and Stories

An essential element of Tableau’s value is delivered via dashboards. Well-designed dashboards are visually engaging and draw in the user to play with the information. Dashboards can facilitate details-on-demand that enable the information consumer to understand what, who, when, where, how and perhaps even why something has changed. This is where Tableau development services come into play, enabling customized solutions tailored to business-specific metrics.

Best Practices to Create a Simple and Effective Dashboard to Observe Sales Performance KPIs

A well-framed KPI dashboard instantly highlights problem areas. The greatest value of a modern business dashboard lies in its ability to provide real-time information about a company’s sales performance. As a result, business leaders, as well as project teams, are able to make informed and goal-oriented decisions, acting on actual data instead of gut feelings. The choice of chart types on a dashboard should highlight KPIs effectively. If you’re looking to implement these practices in your organization, working with Tableau experts ensures your dashboards follow industry standards and drive actionable insights.

Bad Practices Examples in a Sales Dashboard:

A sales report displaying 12 months of history for twenty products; 12 × 20 = 240 data points.

Multiple data points do not enable the information consumer to effectively discern trends and outliers as easily as a time-series chart comprised of the same information

The quality of the data won’t matter if the dashboard takes five minutes to load

The dashboard fails to convey important information quickly

The pie chart has too many slices, and performing precise comparisons of each product sub-category is difficult

The cross-tab at the bottom requires that the user scroll to see all the data

Now, we will focus on thebest practices to create an effective dashboardto convey the most important sales information. Tableau is designed to supply the appropriate graphics and chart types by default via the “Show me” option.

I. Choose the Right Chart Types 

With respect to sales performance, we can use the following charts to show the avg. sales, profits, losses and other measures.

Bar chartsto compare numerical data across categories to show sales quantity, sales expense, sales revenue, top products and sales channel etc. This chart represents sales by region.

Line chartsto illustrate sales or revenue trends in data over a period of time:

AHighlight tableallows us to apply conditional formatting (a color scheme in either a continuous or stepped array of colors from highest to lowest) to a view.

UseScatter plotsorscatter graphsto investigate the relationship between different variables or to observe outliers in data. Example: sales vs profit:

UseHistogramsto see the data distribution across groups or to display the shape of the sales distribution:

Advanced Chart Types:

UseBullet graphsto track progress against a goal, a historical sales performance or other pre-assigned thresholds:

TheDual-line chart(or dual-axis chart), is an extension of the line chart and allows for more than one measure to be represented with two different axis ranges. Example: revenue vs. expense

ThePareto chartis the most important chart in a sales analysis. The Pareto principle is also known as 80-20 rule; i.e roughly 80% of the effects come from 20% of the causes.

When performing a sales analysis, this rule is used for detecting the 80% of total sales derived from 20% of the products.

UseBox plotsto display the distribution of data through their quartiles and to observe the major data outliers

Tableau Sales Dashboard

Here is a Tableau dashboard comprised of the aforementioned charts. This interactive dashboard enables the consumer to understand sales information by trend, region, profit and top products.

II. Use Actions to filter instead of Quick Filters

Using actions in place of Quick Filters provides a number of benefits. First, the dashboard will load more quickly. Using too many Quick Filters or trying to filter a very large dimension set can slow the load time because Tableau must scan the data to build the filters. The more quick filters enabled on the dashboard, the longer it will take the dashboard to load.

 III. Build Cascading Dashboard Designs to Improve Load Speed

By creating a series of four-panel, four cascading dashboards the load speed was improved dramatically and the understandability of the information presented was greatly enhanced. The top-level dashboard provided a summary view, but included filter actions in each of the visualizations that allowed the executive to see data for different regions, products, and sales teams.

IV. Remove All Non-Data-Ink

Remove any text, lines, or shading that doesn’t provide actionable information. Remove redundant facts. Eliminate anything that doesn’t help the audience understand the story contained in the data.

V. Create More Descriptive Titles for Each Data Pane

Adding more descriptive data object titles will make it easier for the audience to interpret the dashboard. For example:

Bullet Graph—Sales vs. Budget by Product

Sparkline—Sales Trend

Cross-tab—Summary by Product Type

Scatter Plot—Sales vs. Marketing Expense

VI. Ensure That Each Worksheet Object Fits Its Entire View

When possible, change the graphs fit from “Normal” to “Entire View” so that all data can be displayed at once.

VII. Adding Dynamic Title Content

There is an option to use dynamic content and titles within Tableau. Titles can be customized in a dynamic way so that when a filter option is selected, the title and content will change to reflect the selected value. A dynamic title expresses the current content. For example: if the dashboard title is “Sales 2013” and the user has selected year 2014 from the filter, the title will update to “Sales 2014”.

VIII. Trend Lines and Reference Lines

Visualizing granular data sometimes results in random-looking plots. Trend lines help users interpret data by fitting a straight or curved line that best represents the pattern contained within detailed data plots. Reference lines help to compare the actual plot against targets or to create statistical analyses of the deviation contained in the plot; or the range of values based on fixed or calculated numbers.

 IX. Using Maps to Improve Insight

Seeing the data displayed on a map can provide new insights. If an internet connection is not available, Tableau allows a change to locally-rendered offline maps. If the data includes geographic information, we can very easily create a map visualization.

This map represents sales by state. The red color represents negative numbers and the green color represents positive numbers.

X. Developing an Ad Hoc Analysis Environment

Tableau facilitates ad hoc analysis in three ways:

Generating new data with forecasts

Designing flexible views using parameters

Changing or creating designs in Tableau Server

 XI. Using Filters Wisely

Filters generally improve performance in Tableau. For example, when using a dimension filter to view only the West region, a query is passed to the underlying data source, resulting in information returned for only that region. We can see the sales performance of the particular region in the dashboard. By reducing the amount of data returned, performance improves.

Enhance Visualizations Using Colors, Labels etc.

I. Using colors:

Color is a vital way of understanding and categorizing what we see. We can use color to tell a story about the data, to categorize, to order and to display quantity. Color helps with distinguishing the dimensions. Bright colors pop at us, and light colors recede into the background. We can use color to focus attention on the most relevant parts of the data visualization. We choose color to highlight some elements over others, and use it to convey a message.

Red is used to denote smaller values, and blue or green is used to denote higher values. Red is often seen as a warning color to show the loss or any negative number whereas blue or green is seen as a positive result to show profit and other positive values.

Without colors:

II. Using Labels:

Enable labels to call out marks of interest and to make the view more understandable. Data labels enable comprehension of exact data point values. In Tableau, we can turn on mark labels for marks, selected marks, highlighted marks, minimum and maximum values, or only the line ends.

Without labels:

With labels:

Using Tableau to enhance KPI values

The user-friendly interface allows non-technical users to quickly and easily create customized dashboards. Tableau can connect to nearly any data repository, from MS Excel to Hadoop clusters. As mentioned above, using colors and labels, we can enhance visualization and enhance KPI values. Here are some additional ways by which we can enhance the values especially with Tableau features.

I. Allow for Interactivity

Playing, exploring, and experimenting with the charts is what keeps users engaged. Interactive dashboards enable the audiences to perform basic analytical tasks such as filtering views, drilling down and examining underlying data – all with little training.

II. Custom Shapes to Show KPIs

Tableau shapes and controls can be found in the marks card to the right of the visualization window. There are plenty of options built into Tableau that can be found in the shape palette.

Custom shapes are very powerful when telling a story with visualizations in dashboards and reports. We can create unlimited shape combinations to show mark points and create custom formatting. Below is an example that illustrates how we can represent the sales or profit values with a symbolic presentation.

Here green arrows indicate good sales progress and red arrows indicate a fall in Year over Year Sales by Category

III. Creating Calculated Fields

Calculated fields can be used to create new dimensions such as segments, or new measures such as ratios. There are many reasons to create calculated fields in Tableau. Here are just a few:

Segmentation of data in new ways on the fly

Adding a new dimension or a new measure before making it a permanent field in the underlying data

Filtering out unwanted results for better analyses

Using the power of parameters, putting the choice in the hands of end users

Calculating ratios across many different variables in Tableau, saving valuable database processing and storage resources

IV. Data-Driven Alerts

With version 10.3, Tableau has introduced a very useful feature: Data-Driven Alerts. We may want to use alerts to notify users or to remind that a certain filter is on and want to be alerted somehow if performance is ever higher or lower than expected. Adding alerts to dashboards can help elicit necessary action by the information consumer. This is an example of a data driven alert that we can set while displaying a dashboard or worksheet.

In a Tableau Server dashboard, we can set up automatic mail notifications to a set of recipients when a certain value reaches a specific threshold.

Summary

For an enterprise, a dashboard is a visual tool to help track, monitor and analyze information about the organization. The aim is to enable better decision making. To ensure these dashboards effectively align with sales and revenue goals, tableau professional services provide tailored visual analytics solutions.

A key feature of sales dashboards in Tableau is interactivity. Dashboards are not simply a set of reports on a page; they should tell a story about the business. In order to facilitate the decision-making process, interactivity is an important part of assisting the decision-maker to get to the heart of the analysis as quickly as possible.

Looking to do more with your data? Check out our services : Microsoft Power BI Consultant | Power BI Consulting Tableau Consultants Talend Consultant | Looker Consulting | Chatbot Consulting | Snowflake Consulting | AI Consulting

[avkalan]

Avkalan.ai: Leading Artificial Intelligence Solution Providers and Data Science & Machine Learning

In today’s data-driven world, Artificial Intelligence (AI), data science, and machine learning (ML) are not just buzzwords—they’re essential tools that help businesses innovate, optimize, and stay ahead of the competition. At Avkalan.ai, we specialize in turning complex data challenges into intelligent, practical solutions. As one of the leading Artificial Intelligence Solution Providers and trusted Data Science & Machine Learning Consultants, we’re here to unlock the full potential of your data.

Why Choose Avkalan.ai?

Expertise Across Industries Avkalan.ai brings deep expertise and experience across various industries, from healthcare and finance to retail and logistics. Our team of data scientists and AI experts understands your sector’s unique challenges and delivers tailored solutions.

End-to-End AI Solutions From data collection and preprocessing to deploying AI models in production, we provide comprehensive, end-to-end AI solutions. We’re more than just consultants—we’re your innovation partners.

Cutting-Edge Technologies We leverage the latest advancements in AI, data science, and ML to deliver solutions that are efficient, scalable, and future-ready.

Ethical AI Development At Avkalan.ai, we’re committed to building ethical and responsible AI solutions that drive value without compromising data privacy or security.

Our Services: Comprehensive AI and Data Science Expertise

As one of the topArtificial Intelligence Solution Providers, Avkalan.ai offers a wide range of services designed to meet your specific needs:

AI Strategy and Consulting We help you define your AI strategy, identify opportunities, and create a roadmap to leverage AI for your business’s growth.

Data Science & Machine Learning Consulting Our team of Data Science & Machine Learning Consultant works closely with you to design and implement ML models that turn your data into actionable insights.

Predictive Analytics Make better decisions with predictive models that forecast trends and outcomes with accuracy.

Natural Language Processing (NLP) Transform unstructured text data into structured information with advanced NLP techniques.

Computer Vision Extract meaningful insights from images and videos with powerful computer vision solutions.

Custom AI Development We build custom AI and ML applications tailored to your unique needs, ensuring that you get the most value from your data.

Our Proven Approach

Here’s how Avkalan.ai delivers impactful AI and data science solutions:

Discovery – We begin by understanding your business goals and identifying AI opportunities. Data Preparation – Our experts collect, clean, and prepare your data for analysis. Model Development – We design and train ML models to solve your specific business challenges. Deployment & Monitoring – We deploy AI solutions seamlessly into your workflows and continuously monitor their performance. Optimization – We fine-tune and scale your AI systems to ensure maximum impact.

Why Work with Avkalan.ai?

Customized Solutions – No cookie-cutter approaches here. Every solution is tailored to your unique needs. Collaborative Partnership – We work alongside your team to ensure seamless integration and knowledge transfer. Data-Driven Decisions – With our expertise, you can make smarter, data-backed decisions that drive real results. Innovation and Agility – We’re at the forefront of AI and ML, bringing the latest innovations to your business.

Let’s Transform Your Data into Impactful Solutions

AtAvkalan.ai, we believe in the power of data and AI to transform businesses. As one of the top Artificial Intelligence Solution Providers and a trusted Data Science & Machine Learning Consultant, we’re here to help you navigate the complexities of AI and unlock new opportunities for growth.

[flexispheres]

Consultant – Labour Migration

Consultant – Labour Migration Location: Ankara, Turkey Application Deadline: 3 July 2025, 11:59 PM Contract Type: Consultancy (up to 11 months) Job Category: Labour Migration, Employment Policy, Capacity Development Education Required: Bachelor’s degree minimum (Master’s or PhD preferred) Languages Required: English and Turkish Organizational Unit: International Organization for Migration (IOM) –…

[anavclouds-analytics-ai]

Data Science Services for Informed and Strategic Decision-Making

AnavClouds Analytics.ai delivers data science services designed to support precise and strategic decision-making. Our team applies machine learning, AI, and analytics to transform complex data into clear, actionable outcomes that align with your business goals and improve overall performance.

[gouravsapra]

Successful data management services ensure efficient data collection, storage, and organization while maintaining quality, security, and compliance. They empower businesses with scalable systems, seamless access, actionable analytics, and ongoing monitoring for optimal performance.

[elysiumtech]

Trusted Partner Among Data Science Consulting Companies

Join hands with one of the most innovative names in the world of analytics. We stand out from other data science consulting companies with our proven expertise. Our consultants blend technical skills with business understanding. We transform both structured and unstructured data into actionable business insights. Gain a competitive edge with scalable data strategies. Get support at every stage—from planning to deployment. Few data science consulting companies offer such an integrated approach.

[kamalkafir-blog]

Commercial Underwriter (Fully Remote or Hybrid-Working) - Glasgow

Job title: Commercial Underwriter (Fully Remote or Hybrid-Working) – Glasgow Company: Aston Charles Job description: enquiries from a wide variety of brokers throughout the UK, using your sound technical and negotiation skills to secure…, collaborating with the Claims team, as well as developing and maintaining excellent working relationships with the Technical… Expected salary: Location:…

[lifescienceintellipedia]

Powering Pharmaceutical Growth with Data and Setup Expertise

Lifescience Intellipedia offers end-to-end Plant Setup Services for your Pharmaceutical Manufacturing Facility, backed by deep industry knowledge. Leveraging rich business research data and insights from the global market research industry, we ensure strategic planning and efficient execution. Our expertise in the global data analytics market helps optimize operations and forecast trends. Trust Lifescience Intellipedia to turn your pharma vision into reality with intelligent solutions and unmatched industry support.

[techygrowth]

As data continues to drive innovation and decision-making, businesses are increasingly turning to expert consultants to unlock its full potential. In 2025, data science consulting firms are playing a pivotal role in helping organizations harness AI, machine learning, and big data analytics to stay competitive. Whether you're a startup or an enterprise, these firms offer the strategic insight and technical skills to turn complex data into actionable results. Explore our curated list to find the right partner for your data-driven journey.