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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. SAP Lumira. Advantage: easy-to-use system for any user.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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2020 Data Impact Award Winner Spotlight: Telkomsel

Cloudera

The Cloudera data platform became a single source of truth, making it possible to provide advanced customer analytics, such as predictions around the likelihood of purchase or churn, personalization through recommendation engines, operational improvement, and near real-time customer care support.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

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Announcing the 2021 Data Impact Awards

Cloudera

Data Security & Governance: Merck KGaA, Darmstadt, Germany — Established a data governance framework with their data lake to discover, analyze, store, mine, and govern relevant data.

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Social Analytics are the LEAST of Analytics Leaders’ Problems

Jenny Sussin

Market research, competitive analysis, behavioral analysis, measuring campaign success, the list goes on and on as to how social analytics are helping marketers get their job done. But analytics leaders have much different primary problems. ” are all priority issues for analytics leaders.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Deep dive into customer behavior: Customer analytics The digital revolution has rendered understanding your customers critical for business success. A data virtualization platform breaks down data silos by using data virtualization.