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Achieving business intelligence success through stakeholder engagement

Phocas

For a company to succeed with its business intelligence project, stakeholder engagement from start to finish is essential.

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User adoption: That's the real point of BI

Phocas

The outlook for a successful business intelligence (BI) project is not good. At least that’s what Gartner says: BI projects have a 60% failure rate. But your reaction to this statistic and the reasons Gartner cited it, primarily have to do with your own experience as an implementer or end-user of BI software.

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How to evaluate business intelligence software vendors

Phocas

To remain competitive in today’s tough marketplace it is crucial that a business has the ability to transform vast amounts of data into actionable information in the form of business intelligence (BI).

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Three ways a data analytics solution helps with ERP migration

Phocas

There are many benefits for companies in manufacturing, distribution and retail to invest in enterprise resource planning (ERP) technology, including enhanced automation for the ability to deal with a complex data landscape.

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7 data trends for mid-market managers in 2020

Phocas

Everyone needs data. For manufacturing , distribution and retail businesses to succeed in today’s competitive market, data analytics has to be in the hands of all business users, from sales and marketing, to operations and logistics­. This will require a major shift in perspective for many companies.

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Business intelligence in manufacturing

Phocas

The process of making products is a huge opportunity for data optimization. Raw materials need to be ordered, received, assembled, packaged, and shipped out for sale in the leanest way.

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5 common business intelligence problems

Phocas

When businesses aren't getting value from a business intelligence (BI) solution, it may seem like the software is causing more trouble than it is worth. However, the business intelligence problems are often not due to the business or to the software alone, but rather due to the mismatch between the two.