How a Business Intelligence Strategy Maximizes Value in Data
The fact that there’s plenty of data easily within the BI practitioner’s reach doesn’t necessarily translate into definable value for the company.
The fact that there’s plenty of data easily within the BI practitioner’s reach doesn’t necessarily translate into definable value for the company.
The concept of placing value on data has been around since data was being collected electronically. But in 1990 Gartner’s Doug Laney explored the concept of infonomics that proposed a method to determining the value of a company’s data.
What is Master Data Management? Master Data Management (MDM) fixes data quality problems, creates clean master records, and manages changes in those records. That’s the short version.
Gartner researchers estimate that over 80% of big data projects failed in 2017.
The rapid growth and success of the data analytics field has a dark side.
For business intelligence to produce reliable results, you need high-quality data.
From Gartner’s CIO Agenda for 2019: When asked about which technology area organizations will be increasing their investments, 45% of respondents replied that the money would go to business intelligence or data analytics solutions. No other technology – with the exception of cybersecurity (40%) – even came close to that.
Hear product experts showcase key Profisee features and answer questions live from the audience.
Profisee Master Data Management (MDM) is how enterprises can finally solve the data quality issues that have been holding back so many strategic initiatives.
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