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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Accelerating your transition from traditional BI to advanced analytics with data intelligence

Collibra

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

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Jabil is building reports with IBM Business Analytics Portfolio

IBM Big Data Hub

Efficient management of an incredibly complex supply chain Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management.

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Next Generation Charting & Data Analysis

Enterprise Software Blog

This allows you to simply select from a predefined set of properties on the chart to perform deeper data analysis on the data displayed in the chart. The Chart Toolbar includes Reset, Zoom and Analysis buttons at the top level. We are excited to ship this Preview with the most commonly requested analysis features. 

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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Extended Planning and Analysis (xP&A) in action

IBM Big Data Hub

Extended Planning and Analysis (xP&A), is not a new concept for IBM clients who use IBM Planning Analytics with Watson , formerly known as Cognos TM1. For the past several years, clients have embraced the need to tie operational decisions to the financial impact from both planning and analysis perspectives.

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How stronger analysis and reporting sets IBM Planning Analytics apart—and drives profitability

IBM Big Data Hub

What differentiates IBM Planning Analytics from other planning solutions? But today we’d like to focus on the practical, real-world benefits of just two key functions: data analysis and reporting. Quite a lot, actually.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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How to Build Data Experiences for End Users

Product managers need to research and recognize their end users' data literacy when building an application with analytic features. End users fall into 4 different categories along the data literacy continuum when it comes to their skill level with data: Data challenged: Users have no-to-low levels of analytics skills or data access.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.