Remove Data Governance Remove Predictive Analytics Remove Prescriptive Analytics
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A manager’s story of transforming decision-making and sales with AI-powered BI and analytics

CIO Business Intelligence

As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

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BI buyer’s guide: Top 10 business intelligence tools

CIO Business Intelligence

Other key features include data preparation, data connectors, visualizations, predictive analytics, a native mobile app, and support for embedded analytics. Qlik Cloud Analytics Qlik Cloud Analytics is a SaaS platform that includes Qlik Sense, Qlik AutoML, and Qlik Application Automation.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

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Five Steps for Building a Successful BI Strategy

Sisense

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? 3 Define how the data will be shared (and how it will be distributed). Do you want to be more efficient? Find a bottleneck in R&D?

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A Guide to Data Analytics in the Travel Industry

Alation

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.