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Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. Smart businesses will need to know how to leverage data analytics to make the most of their social media strategies. Data Analytics and Social Media Are Collectively Shaping the Future of Business.

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Can Data Analytics Help with Choosing Reliable Event Organizers?

Smart Data Collective

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models.

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AzureAnalyticsMap – Information and call to register for vendors and consultancies

BI-Survey

For vendors and consultancies: If you are active around Azure Analytics and offer consulting, training, other services or a software solution directly integrated in Azure Analytics products or a software solution that leverages the platform, you should be included in our market overview (official partner status at Microsoft is not required).

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How Data Analytics Is Changing The Insurance Industry

Smart Data Collective

To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. Cyber risk is based, not on geographical location, but rather on interconnectivity and interaction between multiple locations across a LAN or WAN. The insurance industry is based on the idea of managing risk.

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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. Ask your unhappy customers or colleagues what concerns them most about the data-analytics team. The data team takes too long to deliver analytics.

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Six ways AI can influence the future of customer service

IBM Big Data Hub

The power of AI-assisted human representatives We’re at an exciting time in the history of customer service where organizations can experiment with these new tools and build a path towards a world where AI is the copilot for every customer interaction.

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

IBM Big Data Hub

Throughout modern history, organizations have encountered internal and external challenges that changed how they interact with customers and how customers view those organizations. And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before.