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How to Maximize Automation Investments to Drive Revenue and Improve Customer Experience

Dataversity

Orchestrating these processes appropriately has the power to fundamentally transform how a company does business – which can improve the customer experience and drive revenue in the process. The post How to Maximize Automation Investments to Drive Revenue and Improve Customer Experience appeared first on DATAVERSITY.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

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How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse

Dataversity

Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. An underlying architectural pattern is the leveraging of an open data lakehouse. Data warehouses are great at both analyzing and storing […].

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Using Hyperautomation and Process Orchestration to Drive Optimal Efficiency

Dataversity

According to the 2023 State of Process Orchestration Report, 95% of teams credit automation for improving operational efficiency, while 94% acknowledge its role in enhancing customer experiences. To automate at scale, many teams implement a mix of technologies, tools, and platforms.

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Why Data Access Governance Is Key to Going Faster

Dataversity

Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can improve the customer experience, HR can keep employees happy, and so on.

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Using Enterprise Architecture Roadmaps to Guide Tech Implementation

Dataversity

Innovations in artificial intelligence, machine learning, the Internet of Things (IoT), and other advanced technologies have enabled companies to do things previously unimaginable when it comes to customer experiences, business growth, and revenue. All of that comes at a cost, of course. New technologies, system […].

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How to meet the challenges unique to enterprise scale

Domo

The insights provided by big data—which is a combination of structured, semistructured, and unstructured data —allow business teams to solve complex problems, improve customer experience, and identify opportunities to increase sales and accelerate business growth. However, big data is not without its challenges.