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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. Then, you transform this data into a concise format.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Well, if your company wants to use big data architecture to try to figure out which foreign markets to expand into, that will affect which data sources you’re pulling from. Using a Translation Company with Your Big Data Strategy. It’s important to build translation considerations into your big data strategy.

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

Cloudera

Today, interactions with a brand spans omnichannel touchpoints. In reality, organizations live on a continuum, varying in how sophisticated their data is and the extents to which it influences management decisions. . Any article on what it means to be “Data Driven” makes references to Data Strategy, Data Culture and Decision Culture.

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8 tips for unleashing the power of unstructured data

CIO Business Intelligence

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Ensure value with visualizations.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

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What Is Data Intelligence?

Alation

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

It offers enhanced capabilities to analyze complex and large volumes of comprehensive recruitment data to accurately forecast enrollment rates at study, indication, and country levels. Recommendations can be presented through an interactive dashboard to facilitate understanding and enable stakeholders to make informed decisions.