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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Data Strategy. Data and decision culture.

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The Insights Beat: Save Your Data Strategy From A Nosedive

Srividya Sridharan

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking?

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Voice Of The Attendee: Data & Analytics Strategy, AI/ML, CX And Growth

Srividya Sridharan

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. This is an area where analytics can be highly valuable.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

I collaborate with multiple stakeholders across many global CPG companies, enabling high impact business transformation strategies and guiding them in their analytics journey. He brings deep experience supporting high tech e-commerce and retail clients in the areas of marketing, pre-sales analytics, and web analytics.

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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

With submissions for the Data Impact Awards coming in, we’re revisiting last year’s winners to find out what set them apart. . The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. Some use cases are already in production and generating revenue.

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