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Need for data literacy accelerated by 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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New ThoughtSpot tool advances embedded BI capabilities
ThoughtSpot this week unveiled ThoughtSpot Everywhere, an embedded analytics platform in preview, and a host of features on its roadmap, including pinboard filtering.
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Key data science techniques for analytics applications
Data scientists use a variety of statistical and analytical techniques to analyze data sets. Here are 15 popular classification, regression and clustering methods.
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Snowflake CEO predicts future at ThoughtSpot conference
Cloud data platforms that effectively eliminate data silos and reduce the need for multiple tools will emerge over the next few years, according to Snowflake's CEO.
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Big data analytics News
Data lake vendor Qubole adds streaming data service
Data lake vendor Qubole unveiled a data pipeline service, a new tool designed to enable organizations to manage their increasing amounts of streaming data.
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BI strategy Evaluate
Comparing business intelligence vs. business analytics
Business intelligence with descriptive analytics gives a better understanding of your current operations, while business analytics aims to inform future decisions.
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Customer analytics Evaluate
Emotions analytics helps Hotels.com connect with customers
While traveling has been halted for most of us, marketing efforts in hospitality still go on, and one way to sharpen those efforts is building an emotional connection -- with data.
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Data visualization software Get Started
12 types of data visualizations, with examples of them
BI and analytics teams and self-service BI users can choose from various types of data visualizations. Here are examples of 12, with advice on when to use them.
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Predictive analytics Evaluate
Top 5 predictive analytics use cases in enterprises
From marketing to healthcare, looking at past data can be beneficial to forecasting future trends. Read on to understand the most popular use cases for predictive analytics today.
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Self-service and collaborative BI News
Data governance key to effective self-service analytics
A clear data governance policy and effective training are critical to enabling self-service analytics users to make data-driven decisions for their organizations.
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Business intelligence management (8) +
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Business intelligence technology and platforms (11) +
- Business intelligence architecture and integration
- Business intelligence development
- Business intelligence software
- Enterprise business intelligence reporting
- IBM business intelligence platforms
- Microsoft business intelligence platforms
- Open source business intelligence
- Oracle business intelligence platforms
- Real-time business intelligence
- SaaS business intelligence
- SAP business intelligence platforms
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Corporate performance management strategy (3) +
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Data analytics (8) +
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Data visualization tools (3) +
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Data warehouse design and administration (7) +
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Customer-centric automotive data analytics proves maturity
The automotive industry and analytics have always worked in tandem, and now with a shift in focus from product to consumer prompted by market changes and economic downturn.
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Key data science techniques for analytics applications
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Event streaming to analyze big data in real-time
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Brain teasers and other fun tips for learning Python
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Problem Solve
Top BI challenges and tips on how to overcome 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.
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Overcoming the top 3 analytics adoption challenges
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COVID-19 data resources for volunteering data scientists
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Critical differences in ethics, governance, compliance
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6 core steps in the data science process
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.
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Data literacy framework must-haves for enterprises
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8 types of bias in data analysis and how to avoid them
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How predictive and prescriptive analytics impact the bottom line
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E-Handbook | November 2020
Big data streaming platforms empower real-time analytics
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E-Handbook | February 2020
Embedded BI software creates common ground for diverse analytics
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E-Handbook | October 2019
NLP uses in BI and analytics speak softly but carry a big stick
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E-Handbook | August 2019
Ethical data mining and analytics elude privacy, usage snafus
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E-Handbook | June 2019
Social media analytics applications live and die by the data
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Business Analytics/Business Intelligence Basics
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Big data streaming platforms empower real-time analytics
Data streaming processes are becoming more popular across businesses and industries. Read on to see how streaming platform adoptions are benefiting enterprises.
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edge analytics
Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store.
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predictive analytics
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends.
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Business intelligence technology and platforms
New ThoughtSpot tool advances embedded BI capabilities
ThoughtSpot this week unveiled ThoughtSpot Everywhere, an embedded analytics platform in preview, and a host of features on its roadmap, including pinboard filtering.
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Data analytics
Snowflake CEO predicts future at ThoughtSpot conference
Cloud data platforms that effectively eliminate data silos and reduce the need for multiple tools will emerge over the next few years, according to Snowflake's CEO.
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Business intelligence technology and platforms
Startup Einblick secures $6M for AI-fueled BI platform
Startup BI vendor Einblick emerged from stealth on Wednesday and aims to differentiate itself with a platform that integrates AI and machine learning with business intelligence.
