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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Benefits of AI-driven business analytics.

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A Use Case For Business Intelligence Vs. Text Analytics Tools

Boris Evelson

I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. Question: “We receive quarterly and yearly account statements for our investments.

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Why Collaboration Matters in Analytic Processes

David Menninger's Analyst Perspectives

Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. I had anticipated that three-quarters of analytics vendors would include collaboration capabilities.

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Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […].

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them. Here’s how.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

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Jira & Zendesk Aid with Analytics-Driven Management

Smart Data Collective

There are a growing number of platforms that help companies use analytics to offer better technical support. This is one of the reasons that companies are projected to spend over $680 billion on analytics by 2030. Some of them use analytics technology to offer higher quality service to their valued customers.