Remove 2001 Remove Business Intelligence Remove Modeling Remove Reporting
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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

Business intelligence has a long history. How will moving to true self-service business intelligence — and achieving data democracy — impact your organization? A Short History of Business Intelligence. Modern business intelligence starts at the dawn of digital computing.

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IT pros say tech budgets to stay strong, but mainly for big companies

CIO Business Intelligence

to make major preparations for a recession reported that they were getting ready to hike IT spending, in contrast to solid majoritiesâ??68% Companies that did so in 2001 and 2008 were frequently punished for it by the market. Just 30% of companies with â??no no plansâ?? 68% and 55%â??for even if that was initially out of necessity.â??.

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Clean Harbors’ CIO: Hybrid approach to the cloud is a win-win

CIO Business Intelligence

“Our strategy in taking a hybrid approach has provided the agility we need to do advanced services in the cloud as we go through our digital transformation,” says Gabriel, who joined the company in 2001 and was promoted to executive vice president and CIO of Clean Harbors in 2018. The company’s 400 IT staff — located at its Norwell, Mass.,

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FOS CIO shakes up IT department, starts cloud migration

CIO Business Intelligence

Established by the UK Parliament in 2001 to settle complaints about financial-services companies, the Financial Ombudsman’s Service (FOS) has served an increasing number of consumers, recently dealing with more than a million people a year.

IT 105
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. There are models everywhere. Now there are calls for model governance.

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Data Science, Past & Future

Domino Data Lab

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. Along with your database servers, you had, data warehousing and business intelligence.