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Mastercard’s Vosburg: Trusted Intermediaries Will Drive Consumer Data Aggregation

PYMNTS

There’s no shortage of consulting advice and press clippings that will state the importance of actionable data for companies as a selling, operational and marketing strategy. Big data, it used to be called. The latest developments come from Mastercard.

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Cybersecurity, Recruiting Tech Lead B2B VC

PYMNTS

-based B2B FinTechs led the way in this week’s investment roundup, with more than $212 million in new funding falling in the hands of startups targeting a range of enterprise operations. Accounts payable, cloud migration, Big Data and even legal management for startups raising new funding were all targeted among investors.

Capital 143
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Build-Out: Investors And Executives Sound Off On Construction Tech

CB Insights

We define construction tech as startups working on construction design, team collaboration, and project site management, as well as those using drones and big data analytics primarily to transform the traditional mapping and surveying of construction sites. Research Briefing: Construction and Infrastructure. Construction Tech Startups.

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What Shiny New Life Insurance Startups Can Learn From My Mistakes

Tech and Finance

Want to make a change to your marketing strategy? You’ll need to run those marketing plans by the life insurance carrier or re-insurer who actually owns the risk. Data is awesome, but you won’t necessarily be able to use it. In many ways, life insurance is the original big data industry.

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Disrupting The CPG Industry: How Brands Can Adapt To The Future Of Packaged Goods

CB Insights

Since then, Peltz has continued to push P&G to re-evaluate its R&D strategy, bring in more external talent, and focus on innovation. Technology companies are controlling online and offline points of sale, intercepting shopper data, managing customer relationships in place of CPG brands, and more.

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The Future Of Fashion: From Design To Merchandising, How Tech Is Reshaping The Industry

CB Insights

Fashion has always been a hotbed for innovation — from the invention of the sewing machine to the rise of e-commerce. Amazon is innovating in this area as well. With more and more data, algorithms will become trend hunters — predicting (and designing) what’s next in ways that have never been possible.