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Why Choose Us
3 Reasons to Make Sure Your Next Data Project is Value Driven
Rigorous
Get an analytics product intentionally designed to drive value, one backed by more than a dozen years of analytics experience that you can trust.
Rigorous
Analytics products without a proper setup tailored to the business opportunity or without proper attention to detail could actually lead to a worse decision, not better. Get an analytics product intentionally designed to drive value, one backed by more than a dozen years of analytics experience that you can trust.
Affordable
We are able to offer affordable prices by using numerous efficiency techniques developed through innovation, hard work, and experience.
Getting a good analytics product is great, but if you pay what most consultants charge, there is a high risk that any gains it might provide will be offset by the cost. We are able to offer affordable prices by using numerous efficiency techniques developed through innovation, hard work, and experience.
Fast
Rather than burden your employees with “fire drills” that lead to mistakes and attrition, let us create a quality deliverable in record time.
Fast
When you need an interactive dashboard, analysis, or data science model, oftentimes you need it now. We aim to provide your solution in days or weeks, not months. Rather than burden your employees with “fire drills” that lead to mistakes and attrition, let us create a quality deliverable in record time.
ABOUT US
Value Driven Analytics is your comprehensive source for rigorous, cost-effective, and timely analytics.
Value Driven Analytics offers…
- Automated data processes
- Interactive Power BI and Tableau dashboards
- Actionable analysis
- Robust data science models
- Engaging analytics & leadership training
- High-performing analytics team management
- Holistic analytics transformation
- 1-hour analytics consultations
Analytics for a Variety of Industries
Get billion-dollar company rigor, customized to your organization, without billion-dollar company prices
VALUE DRIVEN
Analytics Consulting Solutions
How can Value Driven Analytics drive value for you?
Value Driven Analytics offers robust data science models, interactive dashboards, actionable analysis, automated data processes, analytics & leadership training, analytics team management, holistic analytics transformation, and 1-hour analytics consultations, all purposefully designed to accelerate your success. We aim to provide a more rigorous solution in less time at a lower cost compared to other analytics consulting firms.
ANALYTICS BLOG
Analytics Articles to Help You Drive More Value
Click here to learn about advanced analytics tools, robust analytics techniques, efficiency strategies, and inspiring leadership
How to Delete a Table in SQL?
In this blog post, we will walk you through the process of deleting a table in SQL, discussing the importance of caution and providing step-by-step instructions.
How to Comment in SQL?
When working with SQL, it's essential to not only write effective queries but also to document your code for better understanding and collaboration.
What is a SQL Server?
A SQL server is a database management system (DBMS) that uses the SQL language as its primary interface. It allows users to store, manipulate and retrieve data from their databases.
What are Aliases in SQL?
In simple terms, aliases are temporary names assigned to tables or table columns in a SQL query. They are mainly used for convenience and to make SQL statements more readable.
How to Find Duplicates in SQL?
In this blog post, we will explore how to find and manage duplicates in SQL.
How Long Does it Take to Learn SQL?
In this blog post, we will explore the different stages of learning SQL and provide tips on how to speed up your learning process.
What is CHARINDEX in SQL?
When working with data stored in a database, it’s common to need to search for specific strings within text columns. This is where the CHARINDEX function comes in handy.
What is A Left Outer Join in SQL
Learn how to use a left join in SQL to keep all rows from the first table.
How to Export Python Data Frame to SQL File
Learn how to export a Pandas data frame to a SQL table for further processing or analysis!
WHERE Not EQUAL in SQL
Learn all about using the not equal operator in SQL!
How to Use a SQL Rank Function to Deduplicate a Table
Learn how to use a SQL rank function to deduplicate data.
How to Join, Merge, Union, & Concatenate Tables in SQL and Python
Learn how to join, merge, union, & concatenate tables in SQL and Python.
How to Write a SQL Query within a SQL Query with a Subquery or Common Table Expression (CTE)
Learn how to write a SQL query within a SQL query using either a subquery or a CTE!
College Football Dashboard
Would you like to easily explore all kinds of statistics for your favorite college football team? If so, you're in the right place!
What is Net Present Value?
Calculating the Net Present Value (NPV) of cash flows for an investment is important because of the time value of money, which suggests that a dollar is generally worth more today.
Why Should Data Scientists Use a Consistent Process for Data Science Model Monitoring and Management?
While building data science models can drive a lot of value for an organization, it is important to create and maintain a robust model monitoring/management system.
How Long Should it Take to Create and Schedule a New Data Table?
While it often takes more than 1 week for an organization to deploy a new data table, it is possible to dramatically reduce the time it takes to create, refresh, modify, and understand data tables.
How Often Does an Analyst Typically Make Attention to Detail Mistakes?
While no analyst is perfect, there are many validation techniques that can severely reduce the likelihood of errors.
How Often Should Database Issues Impact Data Availability?
In our experience, a typical organization has database issues that impact data availability about 5-10% of the time, but it’s possible to reduce this even further.
Why is Customer Data Integration Important?
If your organization is regularly using customer data for marketing, sales, and analysis purposes, it's critical to have a robust customer data integration process in place.
How Should an Organization Set its Overall Sales Goals?
It’s important to build sales goals in a robust manner in order to make sure they are reasonable targets.
How Should an Organization’s Overall Sales Goal Be Distributed Across Salespeople?
It’s important to distribute your organization's overall sales goal across salespeople using a data-driven quota model.
How can an Organization Assess Performance Against Goals within a Month or Quarter?
Your organization needs a way to get a proactive, real-time, and accurate assessment of how it’s performing against the current month or quarter’s business goals before that time period ends.
Why is Reporting Showing how Metrics are Trending Against a Baseline or Business Goal over Time Important?
Every organization would truly benefit from having reporting (ideally an automated, interactive dashboard in a platform like Power BI or Tableau) that clearly shows how metrics are trending against a baseline...
Why Does Your Sales Team Need a Robust Data-Based Prioritized List of Customers to Contact?
If your sales team doesn't have access to a data-based prioritized list of customers or leads to contact, they are operating at a big disadvantage compared to the competition.
Why Does your Marketing Team Need Reporting that Compares Each Program's ROI?
If your marketing team doesn't have access to reporting that compares the ROI (return on investment) of each program, they are likely operating at a big disadvantage compared to the competition.
How Should a Firm Set the Price of Products and Services?
If your organization is simply basing its pricing strategy on competitor prices, it could be missing out on some big opportunities to boost profitability through more optimized data-driven pricing.
How Can a Firm Optimize its Hours of Operation and Employee Scheduling?
If your firm is simply basing its hours of operations on what competitors are doing, it could be missing out on big opportunities to close when it's not profitable to be open or to open at opportunistic...
How Should a Firm Determine Where to Expand Geographically?
Without a robust data-driven location sales forecast model, your organization could easily invest in some non-profitable locations and miss out on highly profitable locations.
How Long Does a Typical Data Science Model Build Take from Start to Initial Implementation?
While building data science models can drive a lot of value for an organization, they unfortunately have a reputation for taking several months to build and deploy.
What are Some Benefits of Using Deep Learning Neural Network Models?
Analysts and data scientists can benefit immensely from learning about deep learning neural networks to perform cutting edge analysis such as image detection, voice recognition, natural language processing,...
Why is it Important to Test Data Science Models on a Holdout Dataset before Deploying Them?
It's important for analytics and data science teams to test their models on a holdout dataset before deploying them.
What are Some Benefits of Using Data Science?
We would highly recommend encouraging analysts at your organization to apply data science modeling to as many use cases as is practical.
Why Should Analysts Use Advanced Analytics Coding Tools like Python, R, or SAS?
We would highly recommend encouraging analysts at your organization to learn an advanced analytics coding tool like Python, R, or SAS.
What are Some Benefits of Using SQL?
We would highly encourage analysts to learn and use SQL. SQL is truly an analytics staple.
Why Should Analysts Use an Interactive Visualization Tool like Power BI or Tableau?
Any organization would strongly benefit from investing in an interactive visualization tool like Power BI or Tableau.
Why is an Analytics Team's Engagement Critical and How Can a Manager Encourage This?
As with any team, engagement is critical to an analytics team's success.
Why is it Important for Analysts to Learn New and Improved Analytics Tools?
When analytics teams don’t learn the latest, most-efficient analytics tools available, it can sometimes prevent the organization from getting as much value as possible from their data.
How Can You Encourage Analysts' Development and Help Them Learn New Skills?
Analyst development/learning programs such as regular knowledge sharing meetings, mentorship programs, regular office hours, ad-hoc trainings, and hackathons can be big drivers of analysts’ development.
Why is it Important for Analysts to Have a Career Development Plan?
Excellence in analytics generally requires a willingness to learn new analytics platforms and techniques.
How Can Analysts Become More Productive?
A typical analyst at a typical organization should be able to complete, on average, at least 1-2 typical analytics projects (think of a typical dashboard build or ad hoc analysis) per week.
What is the Best Way to Assess an Analytics Candidate’s Technical Skills?
When hiring an analyst, it is absolutely critical to validate that a candidate is truly able to apply analytics skills and techniques to your business challenges in a robust way.
How Can Analysts Ensure Stakeholders Follow Their Recommendations?
It is extremely important for analysts to present their technical work in a way non-technical stakeholders can understand.
How Can Analysts Make Their Dashboards and Analysis Presentations Actionable?
In analytics presentations and dashboards, it is important for the analyst to make it clear what next steps should be taken as a result of their data and insights.
What is the Best Way to Make Business Strategy Decisions?
At Value Driven Analytics, we highly recommend making data-driven decisions.
Analytics Consulting Can Skyrocket Your Firm’s Success Through Data-Driven Decisions
Your comprehensive guide to analytics consulting
Our Seven-Step Analytics Transformation Roadmap to Revamping Analytics at Your Organization
An analytics transformation could double your analytics team’s productivity.
What is Value Driven Analytics? 3 Reasons Your Organization May Not Be Doing This (Especially #1!)
Firms who ensure every project is value driven could enable their analytics team to drive 2 times more value.
Power BI vs. Tableau: A Comparison of the Top 2 Interactive Visualization Tools
Switching could save your organization hundreds of thousands of dollars.
Customer Data Integration (CDI): Get a True 360º View into Customer Interactions
Using probabilistic matching to link customer records from multiple systems together into a single ‘global’ customer identifier, organizations can get a 360º view into each customer’s interactions with...
Automated Data Validation Checks to Ensure Data Accuracy
Organizations can get ahead of data issues observed in the past by proactively setting up automated notifications.
Efficient ETL (Extract, Transform, Load): Increase Your Team’s Productivity
Organizations can dramatically accelerate the process of creating, refreshing, modifying, and understanding regularly scheduled data processes by creating a global etl (extract, transform, load) reusable...
Complimentary Analytics Training
Whether you’re looking for training on technical skills or soft skills, whether you’re an aspiring analyst or an analytics executive, there’s something here for you!
175+ ANALYTICS TRAININGS
Testimonials
The Impact We’ve Had
Over a dozen years experience applying robust analytics and data science to a wide variety of functional areas and industries
Working on Brian’s team was like getting paid to get a Masters in Analytics. He is incredibly intelligent, patient, hard-working, and compassionate. Brian’s coaching and ideas helped me grow from an analyst to analytics manager in under 3 years. He would be an asset to any organization looking to solve data-driven problems.
Jimmy Miron
Former Team Member
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