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Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. All this data needs to come together in one place in order for the organization to reap the benefits of an enterprise BI tool.

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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

It also serves to operationalize and govern mission-critical information by making it available to the wider enterprise at the right levels to identify synergies and ensure the appropriate collaboration. Organizational success depends on agility and adaptability in responding to change across the enterprise, both planned and unplanned.

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PODCAST: AI for Digital Enterprise – Why Contextual Customer Data is Indispensable to Driving Superior Experiences

bridgei2i

13:07] We see that a lot of enterprises have bought technology solutions for addressing different parts of the customer journey experience, which they’ve added over the years. Transcript SERIES: AI for the Digital Enterprise Transcript. “So SERIES: AI for the Digital Enterprise. Subscribe Now. My name is Paromita Mitra.

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Super-charged pivot tables in Amazon QuickSight

AWS Big Data

This involved migrating complex tables and pivot tables, helping them slice and dice large datasets and deliver pixel-perfect views of their data to their stakeholders. For example, a customer 360 report sliced by different regions. Recently, Amazon FinTech migrated all their financial reporting to QuickSight.

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Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Or some of these files are uploaded to various systems, but they don’t talk to each other or any other enterprise systems for that matter.

Risk 98
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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

The question of the data to use will include the basics of transactional and enterprise data sources, but should expand to broader questions that will further shape the deployment strategy including third-party data, the need for real-time and/or unstructured data, ML and AI tools, etc. What data do I need to achieve these objectives?

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5 tips for excelling at self-service analytics

CIO Business Intelligence

Given the ongoing gap between the demand for experienced data analysts and the supply of these professionals — and the desire to quickly get valuable business insights into the hands of the users who need it most — it’s easy to see why enterprises would find self-service analytics appealing. That’s a great place to start.”

Analytics 137