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What is a business intelligence analyst? A key role for data-driven decisions

CIO

Business intelligence (BI) analysts transform data into insights that drive business value. What does a business intelligence analyst do? The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

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Datalogz raises $5M to deal with your business intelligence sprawl

TechCrunch

In recent years, there has been a proliferation of business intelligence tools that aim to help companies make critical business decisions based on data analytics. As data adoption increases at most companies, they are left with growing administration problems, said Logan Havern, co-founder and CEO of Datalogz.

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Zenlytic develops commerce-specific, self-serve business intelligence tool

TechCrunch

Zenlytic, a business intelligence tool for commerce, secured $5.4 million in seed funding to continue developing its natural-language interface for non-technical users who want to corral their customer acquisition, conversion and retention software into one tool without needing a data team.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Get the latest business intelligence and IT strategy analysis by signing up for our newsletters. ]

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?

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It’s time to abandon business intelligence tools

TechCrunch

Organizations spend ungodly amounts of money — millions of dollars — on business intelligence (BI) tools. Because BI has failed businesses. A gap exists between the functionalities provided by current BI and data discovery tools and what users want and need. Yet, adoption rates are still below 30%. Why is this the case?

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MachEye raises $4.6M for its business intelligence platform

TechCrunch

We’ve seen our fair share of business intelligence (BI) platforms that aim to make data analysis accessible to everybody in a company. “I have seen the business intelligence problems in the past,” Panuganty said. Will automation eliminate data science positions?

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. 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.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.

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The Essential Guide to Analytic Applications

We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.

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What is Data Storytelling? The Value of Context and Narrative

This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. You’ll learn: The evolution of business intelligence. How do you differentiate one solution from the next? 4 common approaches to analytics for your application.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.