Business intelligence best practices
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Business intelligence best practices News
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January 22, 2021
22
Jan'21
Data governance framework key to analytics success
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.
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December 11, 2020
11
Dec'20
Data literacy necessary amid COVID-19 pandemic
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.
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November 12, 2020
12
Nov'20
Continuous intelligence a trend on the rise
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.
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November 06, 2020
06
Nov'20
Data a key driver in fight for social justice
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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Key differences in uses of DataOps vs. DevOps
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
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business intelligence (BI)
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
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What makes up a strong data science team structure?
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
Evaluate Business intelligence best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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How to structure and manage a data science team
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
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Augmented analytics lead analytics trends for 2021
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
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What is data science? The ultimate guide
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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Learn to apply best practices and optimize your operations.
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Data literacy framework must-haves for enterprises
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
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8 types of bias in data analysis and how to avoid them
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
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8 self-service BI best practices for larger organizations
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
Problem Solve Business intelligence best practices Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Top 8 business intelligence challenges and how to handle them
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
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Overcoming the top 3 analytics adoption challenges
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
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Governance, compliance, ethics in data mining: Separate but equal
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