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Best of TDWI's Data Digest

Interesting articles we found on the Web focus on using the Internet of Things, big data for sales, cybersecurity threats in 2016, choosing analytics software, and compliance.

• By Quint Turner
• January 12, 2016

How Enterprises Use the IoT
(Source: Tech Republic)

Everyone is hyping the IoT as the next big thing, but nobody seems to mention what the IoT will help enterprises with when talking about it. This article gives 10 useful ways to implement the IoT in the enterprise with examples of what the IoT is used today.

Make a Data Science Team, Not a Collection of Individuals
(Source: CIO)

The well-rounded, perfect data scientist is becoming the white whale of many enterprises who are trying to build their data science teams. As this article argues, stop chasing this ideal person and instead hire complimentary data analyzers to make a complete, cooperative team.

Biggest Cybersecurity Threats in 2016
(Source: The WHIR)

Enterprises that want to avoid being hacked need to know what threats to their security are on the horizon. This article reports the findings of a forecasting study and comes up with a list of the top five threats to expect in 2016.

Picking the Right Analytics Software for Your Enterprise
(Source: INMA)

There are hundreds of vendors offering data analytic software these days. Picking the correct one for your enterprise is more important than ever. This article covers the best way to choose by describing each part of the simple data stack and then analyzing what decisions need to be made to account for each part of the stack.

Turning Data into Sales
(Source: Business 2 Community)

Sales teams can reap major benefits from effective data analysis. The only question is, how can a sales team harness the power of data? This article brings five lessons for exactly that purpose.

How to Expand How You Look at Data Driven Marketing
(Source: Customer Think)

Marketing is a major use of data analytics, but most enterprises are using data in marketing for communications. That is far too narrow a scope for data in marketing. As this article shows, data can be used for a more complete picture of the consumer in addition to simple communications.

Correlation in Big Data More Important than Causation
(Source: Information Age)

The fundamental lesson of statistics is that correlation does not always equal causation. Yet, with big data, it may be more effective to look for correlations first rather than trying to find causal links, as this article argues.

Compliance versus Data Collection with the IoT
(Source: Tech Target)

The rise of the IoT will lead to many more opportunities for the enterprise to collect data. However, compliance with strict data privacy laws will be difficult as the amount of data exponentially increases, this article warns.