Tableau, Power BI and Qlik Sense offer similar self-service BI functionality, consultant Rick Sherman says. But he points to some of their strengths and weaknesses. Purchasing […]
You wouldn’t modernize a house without fixing its rickety foundation first. Similarly, your BI and analytics environment needs a firm foundation before you can update it. […]
Webinar: An action plan for customer intelligence Understanding the customer is a long-standing goal of BI and Analytics, but striving toward that 360 degree view is […]
Rick Sherman is speaking at DAMA in Wellesley, MA. It’s free and open to the public. Title: Enabling Self-Service BI and Analytics When: Monday April 17, 6:00-8:15 […]
Please join me for my TDWI presentation. When: July 20th, 2016. 3:30 pm – 4:15 pm Where: TDWI Accellerate, Boston, The Westin Copy Place Registration and details Enabling […]
The 20th annual Enterprise Data World (EDW) Conference is recognized as the most comprehensive educational conference on data management in the world. Rick Sherman will be conducing […]
In this article I wrote for SearchDataManagement.com, I explain how before selecting a BI analytics tool, you should create BI use cases and then match those […]
In this article I wrote for SearchDataManagement.com, I explain that deciding which BI analytics tool to buy shouldn’t be based on the product with the most features […]
In this article I wrote for SearchDataManagement.com, I offer advice for organizations trying to settle on BI analytics tools: Figure out which features are must-haves, versus nice-to-haves. There […]
In this article I wrote for SearchDataManagement.com, I discuss how before selecting a BI analytics tool, you should create BI use cases and then match those […]
In this article I wrote for SearchDataManagement.com, I discuss how business intelligence analytics tools can leverage data and convert it to actionable information that can benefit […]
The New York Times article “Learning to See Data ” discusses novel ways of gleaning valuable insights from the deluge of data by presenting it visually. […]
This is the second in the series of posts on best business value. 2) Storyboarding becomes best practice for BI design Typically BI applications are designed […]
It’s the time of year when analysts, consultants, vendors and industry pundits publish their predictions on the trends that they feel will have significant impact on […]
Introducing analytics in established companies can feel like the work of Sisyphus. Come to the TDWI Boston Chapter meeting on July 22 and learn how to […]
Most of us come from a background of building or using traditional data warehousing and deploying mainstream BI reporting tools. We are hearing more and more […]
Enterprises today are faced with a flood of data that they could never have imagined a decade ago. Yesterday’s CIO thought cell phones were just for […]
From Descriptive to Prescriptive: Evolving Your BI Strategy watch the archived episode Business intelligence has traditionally focused on the past: What brought us to this point? […]
Here’s some good news for Economics majors. According to today’s Wall Street Journal: In-House Economists are Hot Again One of the reasons they are hot again […]
This post is part of a series on trends that highlight the two worlds of BI: the world where, according to industry pundits and vendors, enlightened […]
Predictive analytics and data visualization are data-hungry processes. An enterprise data warehouse is often a critical part of the data backbone that these processes crave. IT’s […]
Once an enterprise gets beyond the hype and sets out to implement predictive analytics, success will depend on how they approach it. As with anything new, our […]
When creating analytical sandboxes for business users, keep the following design principle in mind to help ensure you provide the right environment for your enterprise: Solutions […]
When creating analytical sandboxes for business users, keep the following design principle in mind to help ensure you provide the right environment for your enterprise: Sufficient […]
When creating analytical sandboxes for business users, keep the following design principle in mind to help ensure you provide the right environment for your enterprise: The […]
When creating analytical sandboxes for business users, keep the following design principle in mind to help ensure you provide the right environment for your enterprise: Time-to-solution […]
When creating analytical sandboxes for business users, keep the following design principle in mind to help ensure you provide the right environment for your enterprise: Data […]
So this situation sounds familiar, and you are wondering if you need an analytical sandbox… The goal of an analytical sandbox is to enable business people […]
Is your enterprises flooded with a deluge of data about customers, prospects, business processes, suppliers, partners and competitors? Is data coming from traditional internal systems, cloud […]
Continuing the discussion on analytical hub design, here’s the second part of my post on the architecture principles. If you missed the first two principles (1. […]