Upside


SAP and Apple Partner for Enterprise Mobility

The enterprise mobility partnership SAP and Apple Inc. announced this week has an interesting BI and analytics angle.

Data Stories: Charting the Unemployed, Stock Value and Mergers, and the Famous

Examining unemployment, post-merger stock values, and Facebook comments to Mark Zuckerberg.

Data Digest: Scale Your Analytics Program; Using Big Data for Customer and Employee Analytics

The amount of data coming into enterprises today has many uses. Learn how to 'industrialize' your data analytics, personalize your customers’ experience, or improve your employee training program with big data analytics.

Encouraging Effective, Measurable Collaboration

Making collaboration part of your corporate culture has the potential to increase productivity and improve your business intelligence -- and help you keep younger employees on board.

Connectivity: Open Source or Enterprise?

There's still a teeming market for best-of-breed data-source and application connectivity software. Business intelligence (BI) and analytics use cases, which emphasize ODBC and JDBC, are as hot as ever -- but so are RESTful APIs.

Pooh-Pooh Indeed! -- Q&A With Jill Dyché

How can you choose the right solution when your colleagues are being seduced by the shiniest new BI tools?

Big Data Engineer: The Elusive Job Description

Big data engineer will be among the hottest jobs in 2016, with starting salary growth of almost 9 percent. Wait, what's a big data engineer?

Data Digest: IoT’s Past and Future, IoT Analytics, and Data Management Strategy

Understanding the Internet of Things is crucial in today’s changing marketplace. Read about the history of the term and how to modernize your analytics for IoT devices, plus advice for an overall data management strategy, in today’s data digest.

Connecting the Dots: One of Your Greatest Analytics Tools

Filling the gaps in data can mean the difference between an analytics project's success and failure. Choosing the right method is a combination of art and science that requires understanding the business, the data, and the targeted decision.