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How to Build an Outcomes-Focused Data Strategy

Sisense

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

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A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

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Using DataOps to Drive Agility and Business Value

DataKitchen

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. Zimmer wholeheartedly agreed.

ROI 211
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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55
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Deriving Value from Data Lakes with AI

Sisense

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. It’s the future.

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How Fifth Third Bank Implements a Data Mesh with Alation and Snowflake

Alation

At the recent webinar Fifth Third’s Journey to Data Mesh with Alation and Snowflake Kaleigh Lavorini , director of product ownership and data strategy at Fifth Third , explains that many people don’t know whether they’re a data source owner, or even where their data goes or who uses it. That’s a problem!

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The Right Recipe for a Real-time Data Stack

CIO Business Intelligence

Teams that take a myopic view on cloud, analytics, database, and streaming technologies might create some measurable success, but viewed holistically their impact is limited. Real-time business needs are transforming databases into sources of streaming data, to be processed on demand.