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A new era in BI: Overcoming low adoption to make smart decisions accessible for all

IBM Big Data Hub

We’re moving away from the one-size-fits-all approach of traditional dashboards to more dynamic, customized analytics experiences. These tools are designed to guide users effortlessly from data discovery to actionable decision-making, enhancing their ability to act on insights with confidence.

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

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

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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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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.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data. The Data Governance body designates a Data Product as the Authoritative Data Source (ADS) and its Data Publisher as the Authoritative Provisioning Point (APP).

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Doing a 180 on Customer 360 – The Preferred Path to Customer Insights

Cloudera

Looking ahead, it is clear that the new requirement will be an investment in customer intelligence platforms (CIPs). Additionally, CIPs utilize technologies such as machine learning and AI to quickly and accurately deliver customer insights to the organization and enhance the experience for the customer. Why is this important?