The Analytics Sandwich: Understanding the Business Value of Data and AI

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives. Yet, conversations with chief information officers (CIOs) and chief data officers (CDOs) reveal a relentless pursuit of concrete business value, a metric that determines…

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Data Intelligence: The Key to Empowered People and Decisions

McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic.  How are these two concepts – the perception of data…

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Building an Effective Data Strategy for Edge Deployments

Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where…

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Four Ways SMBs Can Maximize the Value of Data

Businesses of all sizes are collecting more data, continuously, than ever before. But many – particularly small and medium-sized businesses (SMBs) – have trouble understanding where their data sits, how to connect and act on it, how to manage it, and, most importantly, how to drive value from it.  While there’s been a huge surge…

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Data Driven Customer Retention Strategies

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates. Each customer, or customer segment, is unique, and it is necessary to understand the behaviors and needs of each segment to truly connect with them on a personal level that keeps them coming back for…

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Real-Time Big Data Analytics

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today:  The forecasted market value of big data will reach $650 billion by 2029.  From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and…

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