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Data Visualization

Forecast Product Demand with Confidence

September 9, 2015 by Keith Peterson

Is your company using demand forecasting in your planning process? And are you happy with those results? Based on our interviews with hundreds of companies worldwide, we have found that among midsize manufacturers and distributors, many still use error prone spreadsheets or forecast based on historical sales data.[read more]

Automate the Boring But Essential Parts of Your Data Warehouse

August 12, 2015 by Keith Peterson

To deliver on your company’s future demands for data and insights, you will need to maintain your existing data warehouse – and add the great new capabilities available with big data management and in-memory analytics. The real opportunity is in making those technologies work together smoothly with minimum effort and risk.[read more]

Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation

August 6, 2015 by Keith Peterson

If your organization is relatively new to BI but has successfully built some new reports with one of the great visualization tools on the market, you will soon find yourselves in need of a better data organization environment.[read more]

Using Procurement Analytics to Simplify Your Supplier Reconciliation

July 20, 2015 by Keith Peterson

Ask finance managers to name a necessary evil of their responsibilities and many will cite reconciling goods received against invoices not received (“GR-NI”). The GR-NI issue is time-consuming to manage but not exactly mission critical to finding new business.[read more]

The (Foreseeable) Future of Cloud Computing Explained

July 20, 2015 by Rick Delgado

The idea of connecting the world with information and data is not a new one and goes back to the 60s when the person credited with developing the first web connection, J.C.R Licklider, thought of interconnecting virtually everyone at any location or site. While the internet seems like what Licklider had in mind, cloud computing is clearly turning out to be another idea that’s probably what the pioneer had in mind.[read more]

Challenges of Working with Big Data: Beyond the 3Vs

July 16, 2015 by Venky Ganti

Among many challenges in working with big data, the 3V’s (Volume, Velocity, and Variety) have gotten a lot of attention. Googling yields many results worth reading. Almost all of these focus on technological challenges in managing and processing big data. In this post, I would like to highlight a different set issues that make working with big data challenging, even if the underlying infrastructure is admirably able to handle all three V’s.[read more]

Big Data: Where Did All The Water Go?

July 15, 2015 by Shawn Gordon

Nighttime Flow Analysis works by using an optimal time to analyze for leaks. This is typically at night, when household water consumption is significantly low. At the lowest point, the observed GPM from the area is entered into the solution. By comparing this observation to the expected flow, the utility can iterate through different Sub-DMA configurations and target the problems so they are fixed much sooner.[read more]

Fantasy Sports Betting: The Next 'Big Thing' Thanks to Big Data

June 16, 2015 by Jure Rejec

Big data is revolutionizing the sports betting industry and this is just the beginning. While it may seem that European Fantasy Sports hasn't really picked up as yet, since Europe is known as a historically late adopter, the future looks promising for soccer lovers who seek richer experiences than what is being offered at the moment by well established betting operators.[read more]

13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences

May 21, 2015 by Trips Reddy

Shopping experience. 

According to a report by McKinsey & Company, despite the e-commerce boom, brick-and-mortar stores will still account for approximately 85% of U.S. retail sales in 2025. While slow to catch up with the digital revolution, retail brands are starting to rethink business models and leverage technology to reinvent the in-store customer experience. Interactive digital displays, touchscreens, digital storefronts, magic mirrors, virtual dressing rooms and in-store kiosks (to order out-of-stock items) are transforming how consumers interact with products in physical stores.[read more]

Austinites Really Love Music & Kevin Durant is Kind of a Big Deal, So Says Data Science

May 8, 2015 by Kevin Safford

Let's talk a little bit about true audience segmentation, beyond naive demographics, splitting people into quartiles and deeper, by far, than simple queries and filters. At Umbel, the data ecosystem populating our Digital Genome allows us to create an emergent, rich understanding of the subtle patterns spread throughout and across any audience. Let's step through what I like to call the "data looking-glass" together.[read more]


Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori


Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]


By the Data: The Geography of Gender-Based Income Inequality

March 10, 2015 by Josh Knauer

Gender-based income inequality.

Will granular data tell a story not uncovered by national statistics? And is there a way to visualize this issue from another perspective? Using data provided by Simmons Local, we decided to look at males and females making $25,000 or less annually and break down those numbers geographically.[read more]

VC Investment Analytics on 20 Years of Investment Data

January 15, 2015 by Nilesh Jethwa

VC investment analytics.

In this article, we will perform straight analytics on a huge dataset available from PWC Money Tree provides a data dump of all the venture capital investments from 1995 onwards. Having data that goes that far back should give us what we need to extract interesting and helpful findings.[read more]

3 Practical Tips for Effective BI Dashboard Design and Implementation

January 8, 2015 by Keyan Keihani

BI dashboard.

This article takes an extremely holistic and practical look at successful dashboard design and implementation. These three simple tips not only compare the benefits of certain visual formats over others, but they also look at the business context behind these considerations.[read more]


The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]