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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Business intelligence is an increasingly well-funded category in the software-as-a-service market. By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities.

Analytics 215
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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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It’s time to abandon business intelligence tools

TechCrunch

Charles Caldwell is VP of product management at Logi Analytics , which empowers the world’s software teams with intuitive, developer-grade embedded analytics solutions. He has more than 20 years’ experience in the analytics market, including 10+ years of direct customer implementation experience. 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. Most of them are still fairly complicated, no matter what their marketing copy says. “I have seen the business intelligence problems in the past,” Panuganty said.

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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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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 338
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Business Intelligence tooling showdown

Xebia

Recently, I tried out different tools in the Business Intelligence (BI) space in order to find one that suited my needs. After that, I went to explore Grafana, IBM Cognos Analytics and several other tools, with my impressions listed in the comparison below: Pros. IBM Cognos Analytics. Open source. Easy to run. High reuse.

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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. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. You’ll learn: The evolution of business intelligence.

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7 Questions Every App Team Should Ask

Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.

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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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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.