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Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

The issue behind accessing real-time data is that most business intelligence, data science, and data management tools do not natively connect to Kafka. Business users can just connect TIBCO Spotfire ® software to Kafka messages and go. . When TIBCO and Kafka Work Together, Businesses Win. Click To Tweet.

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Accelerate Business Decisions with Power BI: Enhanced Customer Analysis with Data Visualization

Sunflower Lab

Learn Your Customers with Business Intelligence In the world of ongoing customer interactions, understanding your customer’s behavior patterns is crucial for a successful business strategy. Power BI is a powerful business intelligence tool that helps you clearly visualize customer behavior patterns.

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TIBCO Named a Leader in The Forrester Wave™: Streaming Analytics, Q2 2021

TIBCO - Connected Intelligence

The past year has taught everyone the importance of agility. With TIBCO, you can leverage real-time data for better business outcomes and gain a competitive edge by: Democratizing streaming analytics : Continuous intelligence is a team sport. The power of real-time, streaming analytics.

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A perfect match: How tech promoted a small soccer team to the top

CIO

For 15 years, the software giant has also contributed its technology and innovation to co-create projects that improve the performance, agility, and physical and psychological capabilities of players, as well as increase the loyalty of its fans and enhance its operational activities.

Sport 130
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. As a bare minimum, I can think of an engineering organisation of 6 Spotify like squads with each team consisting of 8-10 people including engineers (frontend/backend), BA, PO, and an agile coach.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102
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Member of the Band – Kyle Maurer Senior Consultant in Services

Gorilla Logic

He bounced from technology to technology and now finds himself thoroughly addicted to all things business intelligence and data science. Kyle loves gaming and pretty much every sport. Business Intelligence(BI) is the natural extension of that. Where’s your hometown? – Milford, CT. What’s your spirit animal?