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Dark Data: B2B’s Big Data Challenge

Dark Data: B2B’s Big Data Challenge

by Hellen Oti-Yeboah | Oct 23, 2013 | Big Data, Data Analysis

  It’s estimated that in 2013, the world will produce an astounding 4 zetabytes (or 4 million petabytes) of new data. But unlike B2C companies, which are  pressed to make use of massive quantities of unstructured consumer data, B2B companies face a big data...
Four Ways to Leverage BI for Executive-Level Reporting

Four Ways to Leverage BI for Executive-Level Reporting

by Hellen Oti-Yeboah | Oct 19, 2013 | BI Strategy, Business Reporting

Businesses today have an increasing volume of sales performance data available from multiple sources.  While most companies understand the potential value of this data, many struggle to turn it into actionable insights–especially at the executive level. Why?...
How analytics can help communities visualize the future

How analytics can help communities visualize the future

by Hellen Oti-Yeboah | Oct 4, 2013 | Business Forecasting, Predictive Analytics

An urban development initiative in Austin, Texas is using enormous amounts of data pulled from various agencies to create astonishing 3D simulations of what communities would look like based on certain assumptions and inputs contributed not only by engineers and city...
What E-Discovery Can Learn from Big Data and Data Science

What E-Discovery Can Learn from Big Data and Data Science

by Hellen Oti-Yeboah | Oct 3, 2013 | Big Data, Data Analysis

Like many fast-paced industries, e-discovery seems to create and abandon trends with every news cycle. Observers can find it difficult to stay abreast of the latest terms and technologies as e-discovery remains a highly specialized segment of the technology world. Yet...
BI for Healthcare Revenue Cycle Management

BI for Healthcare Revenue Cycle Management

by Hellen Oti-Yeboah | Sep 25, 2013 | BI System, Data Analysis

Business intelligence can improve performance across multiple areas of a healthcare business. In this article I will focus on revenue cycle management. While the cost of delivering care continues to rise, getting reimbursement from patients and insurance companies is...
Avoid Screwing Up Predictive Analytic Projects

Avoid Screwing Up Predictive Analytic Projects

by Jessica Otero | Sep 20, 2013 | Analytical Dashboards, Data Analysis

Whether you’re new to predictive analytics or have a few projects under your belt, it’s all too easy to make gaffes. “The vast majority of analytic projects are riddled with mistakes,” says John Elder, CEO at data mining firm Elder Research....
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