Noteworthy Links: Fintech Industry
This post shares links that illustrate how some financial services organizations are using data science and data analytics to innovate and improve their products and services and become more data-driven.
Archive for the ‘Data strategy’ Category
Why You Need a Data Strategy
While it would be great for everyone if you could just “buy a Hadoop” and skip straight to “Profit!”, in reality there’s a lot of work involved, and 95% of it is unique to your business. How do you determine the steps of a big data project, and ensure it delivers results early? This post talks about where to start.
Hadooponomics Interview: The Evolution of Data
VP of Strategy Edd Dumbill was recently interviewed by James Haight on the Hadooponomics podcast. Find the audio and transcript here.
One Year Later, Observations on the Big Data Market
Back in 2014, we discussed how the market looked like on our first birthday. As we hit three years, it seems like an appropriate time to look back on those observations, and see where we are now.
Becoming Data Driven: A Conversation with Sanjay Mathur
CEO Sanjay Mathur recently took time to discuss first steps businesses can take when becoming data driven, and why the effort is worthwhile. You can find the full interview here.
What Your Board of Directors Wants to Know About Big Data
In Fall 2014, Sanjay spoke about “Unlocking Business Opportunity from Big Data” to a group of former CEOs and senior business executives. This Throwback Thursday post shares some questions they had, and advice he gave.
Five Business Challenges Data Can Solve
In today’s business climate, executives understandably want to see both early results and a long-term direction. A data strategy helps meet business needs, while ordering work in a way that respects constraints and creates future opportunities.
Data: What Industry Wants
Since launching Silicon Valley Data Science, we hear three issues more often than anything else in the conversations we have with our clients: handling data overload, choosing analytic approaches, and having the right skills and resources. Let’s take a look at these.
Data Strategy in a World of Big Data
Silicon Valley Data Science has designed a new method to create a data strategy that overcomes limitations of conventional approaches. Recent advances in communications, networking, data, and analytics technologies are changing the way leading companies organize around, architect for, and deliver data-driven capabilities.