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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

Big data and business intelligence are essential. B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Below, we will explore how you can use big data wisely to make your B2B startup one of the 2 in 5 that becomes profitable. The world of B2B is now worth over $1.8

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

agrees that APIs remain relevant in today’s tech landscape, especially for B2B connections. “In Stemming the tide API governance has emerged to respond to these escalating management hurdles, and programs oversee many elements of an API throughout its lifecycle, helping to obtain a safe and reliable ROI. “As

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Position2’s Arena Calibrate helps customers drive marketing efficiency with Amazon QuickSight Embedded

AWS Big Data

Position 2 is a leading US-based growth marketing services provider focused on data-driven strategy and technology to deliver growth with improved return on investment (ROI). The team brings deep domain expertise in digital, B2B, B2C, analytics, technology, mobile, marketing automation, and UX/UI domain.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. You just specify your desired price-performance targets to either optimize for cost or optimize for performance or balanced and serverless does the rest.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Usually for free.

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