Blogs

Tina Groves
Product Strategist, IBM Business Intelligence, IBM

Tina Groves leverages her 25 years in analysis, event processing and information-driven applications to lead the big data product strategy for IBM Business Intelligence. She particularly enjoys sharing how these new technologies can improve decision making with customers. A long-time product manager. she has received corporate recognition for new product introduction and earned two patents. Follow Tina on Twitter: http://twitter.com/tinagroves and LinkedIn: http://ca.linkedin.com/pub/tina-groves/21/508/2a

Why is analyzing text so hard?

September 30, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
How can we take documents, email or social media (and beyond) to show what they represent?

How operational efficiency leads to reducing fraud

September 3, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the...
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IBM in the Hadoop world

May 2, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
IBM’s leadership in the Hadoop world has been acknowledged by Gartner, IDC and, most recently, in Forrester Research’s recent publication, the Forrester Wave Big Data Hadoop Solutions, Q1 2014 Report. This leadership was established by delivering the world’s deepest portfolio of big data and...
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The interconnectedness of things

April 30, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
What does the Internet of Things really mean, both conceptually and technically? Tina Groves shares her point-of-view about how the Internet of Things is really about the Interconnectedness of Things and delivering a new set of expectations about the power of the individual.

The big deal about InfoSphere BigInsights v3.0 is Big SQL

April 29, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In...
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Moving to Hadoop? Understand counting basics

November 22, 2013 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
I’ve encountered many customers who are keen to ditch their data warehouse and use Hadoop to store the organization’s data as a cost-saving measure and to provide more flexibility to the business. However, an oft-overlooked consequence of eliminating the data warehouse is that analysts are now...
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Big Data and Love? Really??

August 22, 2013 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
It’s summer and I needed some lighter reading whilst on vacation. The challenge was how to combine “big data” with something, you know, a little more fun? A reference to OkCupid’s online blog caught my eye on Twitter – possibly old news for you, but the blog provided a highly entertaining lunch...
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If Big Data = More Data, How Much is Enough?

July 17, 2013 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
Customers often say to me, “I have tons of data already. Why do I need more data?” It’s a fair question. Your organization may have spent millions already on storing and analyzing data. Hadoop is reducing the cost of doing this, prompting technology budgets to shift the focus of their investment....
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There’s SQL and then there’s SQL-on-Hadoop for Analytics

April 30, 2013 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
Many people want SQL, the query language of the past two decades, to work on Hadoop. Derrick Harris of GigaOM outlined the approaches of 13 different vendors with their cleverly named projects in his Feb 2013 article. Recently, Information Week’s special coverage series on big data included an...
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Which Big Data Sources can IBM Business Intelligence Access?

March 5, 2013 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
Batch processing of big data often doesn’t provide the performance desired for interactive queries. Performance will depend on the type and volume of data being processed. When interactive exploration or analytics is needed, data staging with analytics-oriented, high-volume databases  is needed.

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