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Tag: TIBCO

Key highlights – Hyperconverged Analytics: Worth the Hype?

Hyperconverged analytics, generally, is a journey for organizations. It allows enterprises to tap into the power of real-time data to make faster, more informed decisions. Adopting hyperconverged analytics isn’t a simple “buy, plug-in, and play” process. To get the most out of it, you’ll need to properly move your data, install the solution, integrate it […]

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TIBCO Data Fabric: What & Why

Traditional data integration can no longer satisfy the new business demands of real-time connectivity, automation, self-service, and data-driven ROI. Most organizations have trouble integrating, processing, curating, and transforming data from many sources. As a result, many businesses are placing themselves at risk by querying data from silos. “As data grows empirically, challenges multiply exponentially” Previously, […]

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Enabling Analytics with Pro Data Management Tips

If you’ve ever tried and failed at facilitating analytics efficiently, without the risk of using inaccurate or obsolete data, this article is for you. We will address effective data management tips to guarantee accurate analytics in business decision-making and BI solutioning. Data management encompasses all the processes for proactively accumulating, unifying, protecting, storing, and sharing […]

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3 Steps to Customer-centricity through Insights & Analytics

Key Points A paradigm shift from a traditional product-centric strategy to customer-centric. Most of the customer data is in different silos hindering interoperability across the businesses. Tapping into data that generates integrated insights can place the customer experience at the center, to make every touchpoint personal. The wave of the digital revolution is actively pushing […]

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Data Analytics Fueling Digital Transformation

Enterprises are constantly trying to utilize the power of their data to discover potential growth opportunities. Businesses need to embrace digital transformation to remain competitive. To get digitized, collecting data from business-critical processes plays an important role. Without it, transformation is incomplete. This, if done right will pave the way to having the right data […]

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