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Predictive Analytics World 2019 – What I Learned and What I Said

Decision Management Solutions

Using DecisionsFirst Modeler, our decision modeling tool, Datarobot, a business rules management system (IBM’s ODM), and a dashboard we showed how you can focus on the right problem, automate developing ML insight and get this insight across the last mile and into a business learning environment. Details will appear at [link].

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IDC: FanRuan ranks No.1 in China’s BI market share in H1 2019

FineReport

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. The market share of advanced analytics and predictive analytics accounted for 27.2%.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? Examples of business analytics. This is the purview of BI.

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Introduction To The Basic Business Intelligence Concepts

datapine

A host of business intelligence concepts are executed through intuitive, interactive tools and dashboards – a centralized space that provides the ability to drill down into your data with ease. Data access, analytics, and presentation. Data dashboarding and reporting. 4) Data dashboarding and reporting. Source: Adeptia.

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Using Business Intelligence in Demand Forecasting

Jet Global

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

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Natural Language Processing (NLP): The Value of Context-Driven Searches!

Smarten

In analytics, NLP is much more useful than the first two options but without the ability to consider context. This approach typically uses column filters and ID to answer basic questions, i.e., ‘what were the sales for white blouses in 2019?’ Users can also use terms like, ‘winter of 2019’ to get results without defining a date range.

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Smarten Advanced Data Discovery is All the Buzz!

Smarten

If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach.