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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data monetization: driving the new competitive edge in retail

CGI

Data monetization: driving the new competitive edge in retail. Retailers are fully aware that their future relies largely on their ability to use data efficiently. However, in today’s dynamic and highly competitive retail sector, retailers need to accelerate their plans and commit resolutely to the path of data monetization.

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How IBM Planning Analytics can help fix your supply chain

IBM Big Data Hub

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). Then, everything comes together.

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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Big Data Hub

How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store. They were much less likely to have any meaningful relationship with the product manufacturer unless those products were made and sold locally.

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Achieve Data Center Excellence with IBM and VMware

IBM Big Data Hub

Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

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State of the Global Capture & IDP Market

Info Source

Business use cases that involve unstructured inputs are increasingly addressed by RPA vendors, which is leading to a convergence of the traditional Capture and the Capture-related part of the RPA market. In the 5-year forecast period, Infosource expects the Capture & IDP market to grow to almost 8.5 Billion US$ in 2026.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

On top of disruption, companies with global supply chains must also deal with different regulatory environments, cultural norms and market conditions. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.