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Top 6 Data Modeling Tools

November 27, 2015 by Zygimantas Jacikevicius

Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results.[read more]


What Does Big Data Mean for the Future of Social Media?

November 18, 2015 by Ryan Kidman

The social media industry has grown leaps and bounds in the past decade, but some challenges have persisted. Major networks such as Facebook have struggled to meet revenue targets. Facebook’s IPO stock price was based off revenue growth figures that have failed to materialize over the past few years, raising concerns that the site couldn’t monetize its users as well as analysts hoped.[read more]

How Is Mobile Technology Impacting the Food and Beverage Supply Chain?

November 17, 2015 by Keith Peterson

Mobile technology is positively affecting businesses across the globe, allowing for real-time data transmission, instant collaboration, and the ability to access key business metrics from just about anywhere. With mobile supply chain applications, business owners in the food and beverage industry have greater insight into their everyday workflow – accessing data on the fly, enabling them to make better decisions faster.[read more]


Control Business Costs with Workforce Analytics

November 16, 2015 by Sarah Smith

When something goes wrong in a company, the availability of analytics data should motivate employers to resolve quickly worker claims and take steps to address problems identified or predicted by their software.[read more]

All-Channel Marketing Is NOT Omni-Channel Marketing

November 12, 2015 by Bill Franks

I was on a panel for the news media community at the Teradata Partners conference a few weeks back. Our discussion centered upon how marketing is changing in today’s big data world. As the discussion started, something hit me like a ton of bricks. Namely, doing marketing across all channels is not at all the same as true omni-channel marketing. While it sounds like a semantic game at first, I will explain why it is much more than that.[read more]

Introduction to Data Lineage

November 11, 2015 by Zygimantas Jacikevicius

Sophisticated modern businesses like banks and insurers are data rich. Data is fundamental to their business effectiveness and efficiency. However, data is not just relevant to the business processes that create it. Many classes of data are essential outside of their main business purpose. This may be for internal reporting and analysis, for use by other applications or for exchange with third parties.[read more]


How Should Companies Approach Big Data Discrimination?

November 10, 2015 by Rick Delgado

Nearly every business strategy introduced these days usually includes some form of big data analytics. This has led to an explosion in the amount of information available to companies and institutions. Never before have they been able to access so much data based on so little criteria.[read more]

How Predictive Analytics Will Affect Big Data’s Future

November 9, 2015 by Brigg Patten

Predictive analytics is one of the biggest trends in business today. There are many companies investing time and money into this area of their business. However, there is also a lot of new technology coming out in this sector of technology. Predictive analytics takes big data one step further.[read more]

Past, Present, and Future of Predictive Analytics: Our Analysis & Findings

November 3, 2015 by Aleksandra Besińska

We would like to share our short analysis on how the idea of Predictive Analytics & Big Data have changed over time and how we see the future of it. We focused on sectors interested in data, available software and skills needed to effectively analyze the data.[read more]

To Query or Not to Query: That Is the Question

November 2, 2015 by Radhika Subramanian

Analysts and data scientists continue to discover new ways to store more data and make our queries run faster, but the additional complexity of more data very quickly outpaces our ability to create more and better queries. The No Query approach requires that the algorithm computes the queries and ranks them based on relevance (like Google’s page rank algorithm).[read more]

Google’s Acquisition Spree

October 30, 2015 by Nilesh Jethwa

There is a history of partnerships and acquisitions which has made Google a truly successful technology company. Using the list of all Google acquired companies and kpi dashboard tool we illustrate Google's acquisition journey.[read more]


How Big Data Is Used in Crisis Response

October 27, 2015 by Jared Jaureguy

These days there are a variety of uses for big data. Advertising companies use it to understand and target customers. Elite sports teams analyze player performance. In the financial world, traders analyze it to make money. While that’s all well and good, there are other ways big data is used that are, arguably, more important.[read more]

Comparing Data Science and Analytics [INFOGRAPHIC]

October 23, 2015 by Taylor Meadows

Big data is increasingly viewed as the new currency in business—and making the most of the value it holds is the key-to-the-kingdom that organizations are seeking to optimize business results. In order to do that, they need the right experts to fill the big data gap within their organizations. But who are those experts?[read more]


Why the Next Gen Retail POS Needs Big Data

October 22, 2015 by Anand Srinivasan

Online retail in the United States is expected to reach $400 billion by the end of next year. Although this is less than eight percent of the retail industry, the numbers are still big enough to disrupt the status quo. Apart from factors like convenience and price, one reason why ecommerce has been able to disrupt the traditional retail model is its ability to play with data.[read more]


How Big Data Is Transforming the Travel Industry

October 21, 2015 by Ryan Kidman

Big data has brought exciting changes to nearly every commercial industry, but none as great as an improved ability to predict the future. Of course, companies can’t forecast exactly what will happen a few years from now, but they can get a pretty good idea how to adjust their strategies in order to keep up with future demand.[read more]