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Updated by Antivia Software on Oct 02, 2015
Headline for Best business intelligence articles, 29 September - 6 October
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Best business intelligence articles, 29 September - 6 October

Antivia's weekly pick of the best business intelligence articles from last week. Have a read and feel free to add your own top articles to the list.

Business analytics skills high on CFO wish list

CFOs see the business analytics skillset, including business intelligence and data mining, as a prerequisite for their accounting and finance staff. As the quantity of data available to companies grows, proficiency in this area is becoming more and more sought after.

Five Smart Reasons Why You Need a Business Intelligence Tool

It's like a "full body scan" for your business. Integrated with a back of house software system, a well-executed restaurant BI tool should be able to give users a detailed look at their entire business from top to bottom.

Agile BI - Are you doing it every two weeks?

Petr Podrouzek wrote the first in a series of thirteen articles about agile business intelligence a few days ago. Antivia presents its truly agile BI tool - DecisionPoint.

Built-In Business Intelligence

IFS North America recently conducted a survey of Manufacturing Business Technology readers to find out the extent that companies were adopting business intelligence programs and to what degree those programs were being integrated with their ERP solutions.

Why your business intelligence implementation needs workflows

This year I have worked with my customers on several business intelligence (BI) projects, and from what I have seen, the key to making these systems effective for the business is to go further than they allow on their own.

Data Analytics Ownership: Mortgaging Midsize Futures?

The rise of powerful analytics tools has led to an odd phenomenon: lack of ownership. When actionable information applies to multiple business units and generated data comes from a myriad of sources, it is easy for midsize companies to fall into a "rental" mindset: Data is simply borrowed for analysis and then stored on another department's server or offsite.