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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.
January 22, 2021 22 Jan'21
Looker, Google planning plenty of analytics collaborations

While collaboration with its parent company is prominent in Looker's plans, so are investments in analytics capabilities including embedded BI and natural language processing.
January 19, 2021 19 Jan'21
Partnership enables Alteryx users to prep data in Snowflake

Alteryx and a rising cloud data warehouse vendor unveiled a new partnership that will enable joint customers to more easily and inexpensively prepare data for analytics.
January 15, 2021 15 Jan'21
Data storytelling a key part of Yellowfin analytics platform

Data storytelling remains a focal point for Yellowfin. Stories, the vendor's narrative generation tool, features heavily in both its latest platform update and roadmap for 2021.

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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
business analytics (BA)

Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Continue Reading
third-party cookie

A third-party cookie is a cookie that is placed on a user's hard disk by a website from a domain other than the one a user is visiting. Continue Reading

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Why using graph analytics for big data is on the rise

Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more. Continue Reading
6 top business benefits of real-time data analytics

The potential benefits of real-time analytics applications for organizations include faster decision-making, increased business agility, better customer service and more. Continue Reading
Data science vs. machine learning vs. AI: How they work together

Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations. Continue Reading

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Composable disaggregated infrastructure right for advanced workloads

Composability provides the agility, speed and efficient resource utilization required to support advanced workloads that continue to grow ever-more sophisticated and comprehensive. Continue Reading
The data science process: 6 key steps on analytics applications

The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading
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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Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
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
COVID-19 data resources for volunteering data scientists

Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers. Continue Reading