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Data warehouse architecture

Dataconomy

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

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Tibco: Business intelligence and analytics provider

CTOvision

Tibco has long been known for helping businesses interconnect their data in ways that enable business decisions. Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user.

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Birst: An end-to-end business intelligence and analytics platform

CTOvision

Birst provides and end-to-end Business Intelligence and analytics platform built on a cloud architecture. We are initiating coverage of them now and tracking them in our Disruptive IT Directory as a leader in Business Intelligence and Analytics. Research Team. For more see: Birst.com.

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Birst: An end-to-end business intelligence and analytics platform

CTOvision

Birst provides and end-to-end Business Intelligence and analytics platform built on a cloud architecture. We are initiating coverage of them now and tracking them in our Disruptive IT Directory as a leader in Business Intelligence and Analytics. Research Team. For more see: Birst.com.

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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.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.