4 years, 7 months ago

Insights-Driven Business Are Stealing Your Customers

Is your business digital? Like Domino’s Pizza, do you realize that you are not a product or service business, but that you are a software and data business that provides products or services? Do you exploit all of your customer’s data to know them insi…

4 years, 11 months ago

kCura Puts the CAAT Into The Bag . . . Acquires Long-time Partner Content Analyst Company

We’ve seen another acquisition in the shifting eDiscovery market this week as kCura, the developer of Relativity, announced its acquisition of Content Analyst Company, the brains behind the CAAT analytics engine (kCura’s press release is here). The acquisition is not entirely surprising. kCura has been relying on the CAAT engine to power its analytics offering for eight years. According to kCura, use of its Relativity Analytics offering “has grown by nearly 1,500 percent” since 2011, with more than 70% of current kCura’s customers with licenses.

What does this acquisition mean for kCura, its customers, and Content Analyst Company customers?

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4 years, 11 months ago

kCura Puts the CAAT Into The Bag . . . Acquires Long-time Partner Content Analyst Company

We’ve seen another acquisition in the shifting eDiscovery market this week as kCura, the developer of Relativity, announced its acquisition of Content Analyst Company, the brains behind the CAAT analytics engine (kCura’s press release is here). The acquisition is not entirely surprising. kCura has been relying on the CAAT engine to power its analytics offering for eight years. According to kCura, use of its Relativity Analytics offering “has grown by nearly 1,500 percent” since 2011, with more than 70% of current kCura’s customers with licenses.

What does this acquisition mean for kCura, its customers, and Content Analyst Company customers?

This is more than just one vendor acquiring a partner to bring its tech in-house. The markets kCura competes in are changing. Customers want better predictive coding workflows, reporting, and visualization capabilities. The momentum around technology-assisted review (TAR) in eDiscovery is growing globally. In February 2016, the Pyrrho Investments Limited v. MWB Property Limited case gave the green light to predictive coding software in the UK, with the decision (PDF) citing acceptance in US and other jurisdictions. Interest and adoption of analytics for eDiscovery and other investigative use cases will only grow. Now that machine learning and technology-assisted review processes have been OK’d by the courts, many of the objections to using software for automated categorization, security classifications, and other analysis of textual data will dissipate.

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5 years, 3 months ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

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5 years, 3 months ago

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

Read more