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Business intelligence best practices News
January 22, 2021
Successful data-driven decision-making relies on good data at its core, and it's a strong governance plan that ensures the quality of an organization's data.
December 11, 2020
Data literacy is perhaps more important now than ever before as healthcare organizations, governments and enterprises struggle to deal with the effects of COVID-19.
November 12, 2020
As organizations look to gain a competitive advantage -- and many simply attempt to survive during the pandemic -- data streaming is helping them make decisions in real time.
November 06, 2020
Analytics can be a critical tool in the social justice movement, but cultural and logistical hurdles can prevent nonprofits from using analytics to its full potential.
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As with DevOps, DataOps hinges on cooperation between teams and breaking down silos within an organization with the focus of implementing and maintaining a data architecture. Continue Reading
Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions. Continue Reading
Enterprises rely on a strong data science team to get the most from their data. Read on to find out what talents you'll need to employ to support your organization's data. Continue Reading
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Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them. Continue Reading
Augmented analytics adoption was one of the top trends for 2020. Adoption still seems strong for 2021 as well as personalization the role of AI in analytics overall. Continue Reading
Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
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As data becomes increasingly important to enterprises, employees beyond the data team need to be data literate. And data literacy programs need certain components to succeed. Continue Reading
Analytics can exhibit biases that affect the bottom line or incite social outrage through discrimination. It's important to address those biases before problems arise. Continue Reading
Self-service BI programs can streamline the analytics process, but scaling one out to thousands of business users requires proper planning and project management. Continue Reading
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BI teams face various technical and project management challenges on deployments. Here are the top BI challenges, with advice on how to address them. Continue Reading
Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading