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Data Visualization

Top 5 Graph Visualisation Tools

November 24, 2015 by Zygimantas Jacikevicius

Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.[read more]

Big Data Increasing the Demand for Skilled Analysts Across All Industries [INFOGRAPHIC]

November 19, 2015 by Sivakumar Soundararajan

Big Data has undisputedly ruled businesses worldwide, transforming them with its various helpful features. However, its inaccuracies and drawbacks have resulted in its attracting its fair share of criticism. Every major revolution faces severe criticism. The Big Data revolution did too.[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]


Lookalike Audiences: How to Find and Engage Them Using Big Data

November 2, 2015 by Josh Knauer

You know your target market better than anybody. You know their age range, gender, income level, education level and just about everything else there is to know. But even armed with such targeted knowledge, you may be missing pockets of potential customers - consumers that don’t fall 100% into your “target market.”[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]

Use Big Data for Property Market Research

October 25, 2015 by Sarah Smith

Market research as a business tool is important in that it enables businesses gather information about a product, a market or a service to be presented for sale on the market, the price margins, the available competition and then analyzing the information so obtained to make your own product the best and most competitive in that market.[read more]

8 Ways That College Sports Teams Can Use Data to Prove Value to Sponsors

October 15, 2015 by Trips Reddy

Brands are spending millions of dollars in college athletic sponsorships but are they really worth it? How can college teams use data to show value to their sponsors? Here are 8 things every college team needs to do to attract and retain their biggest sponsors:[read more]

Not Seeing the Results of Big Data? Maybe You Have a Lot of Data, Not Big Data

October 13, 2015 by Xander Schofield

Big data, everyone wants it, and most think they have it. But what you may have is simply a large quantity of data, not big data. Learn the difference and learn how to leverage both.[read more]

From Master Data to Master Graph

October 6, 2015 by Peter Perera

Today’s CRM and Master Data Management (MDM) technologies don’t enable complete customer knowledge. In fact, they unwittingly turn customer focus into customer tunnel vision. We need an epistemic graph database - a context-aware master graph - to make possible richer, fuller customer stories and expanded 360-degree views for total awareness.[read more]

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]