The Investing Edge
of Enterprise IT


rapidminer_studio_v1
11
Jun
2015

Welcome Peter Lee as CEO of Rapidminer

I’m thrilled today to welcome Peter Lee as the new CEO of RapidMiner. When we invested in RapidMiner in February of this year, we enthusiastically backed founder Ingo Mierswa and his vision to bring powerful, predictive analytics to the business analyst. Under Ingo’s leadership, the RapidMiner team developed the leading next generation predictive analytics platform (placed in the Leaders Quadrant
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18
Feb
2015

Democratizing Analytics with RapidMiner

Today I’m happy to announce Ascent’s newest portfolio company, RapidMiner. In leading the $15M Series B financing of RapidMiner, we are following through on an investment theme I’ve been pursuing for several years – bringing advanced analytics to the business analyst. As we’ve all seen, there’s been tremendous hype around big data, but unfortunately many companies have been left disappointed
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Capture
08
Jan
2015

Why the Northeast is Best for Enterprise IT Investing

A recent look at 2015 innovations trends by IDC shows significant growth in nearly every area impacting enterprise IT – including cloud, big data and analytics, mobile and internet of things. In fact, cloud services, a hotbed of activity in 2014, will likely accelerate in 2015 with $118 billion in spending on the greater cloud ecosystem. As the topic rises
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Big Data enter key
10
Jun
2014

Five Ways to Advance your Career with Modern Data Architecture

Guest post by Todd Christy, Slalom Consulting and member of Ascent’s Technical Advisory Board. What do flat tires and Hadoop have in common? If you’re one of the 75 million drivers covered by the largest US roadside services provider you may experience the real value of “big data” when your tow truck arrives promptly to swap your tire or fill your
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data photo
06
Jun
2014

Why Creativity is Essential to Data

There’s a common misconception that engineers and data scientists are “number crunchers,” and are not creative. They use the left side of their brains, as the popular opinion goes, to present stodgy, black-and-white data, trends, ideas, etc. The “creatives” reside on the other side of the company, immersed in the innovative and artistic work – design, music, advertising, PR, etc.
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data photo
21
Feb
2014

Data Analytics: We’ve Come a Long Way, Yet There is So Far Still to Go

Since the advent of IBM’s punch cards in the 1920s, the information technology industry has fostered improved decision making through data analysis. But the pace of progress has accelerated dramatically over the last decade, with storage costs dropping at an incredible pace (the price for a gigabyte of storage has fallen 99.5 percent since 2000), and internet connectivity becoming essentially
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forum1
27
Sep
2013

Big Data is Big Hype, but Data Analytics Delivers

At Ascent, we have been focused on the growth of data analytics – or as we called it back in 2008, the ”Explosion of Data” – for close to a decade. In the early days we backed companies such as ZoomInfo, Cymfony (acq. by TNS) and Bizo that comb the web, collecting data to build professional profiles or understand customer sentiment
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Modern computer technology in business
14
Aug
2013

Next B2B IT Forum – Data Analytics: Making It Real

We’ve long been excited at Ascent about the tremendous potential gains from the analysis of data and the complex business problems it can solve. And now I believe we’ve reached the point that organizations need to begin the shift toward data-driven decision making that can move the needle. But for many businesses, this shift is easier said than done. For
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nobigdata
21
Jun
2013

Big Data: Love the Mission, Hate the Moniker

I enjoyed speaking on a big data panel at the E2 Conference on Wednesday in Boston, but the more I participate in these events, the more I agree that “big data” is a silly marketing term, a meaningless catch-all that provides answers to nothing. Perhaps it is needed to make a distinction from traditional data analytics – as people have
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database servers
07
Mar
2013

Selling Data Insights vs. Tools? Let’s Connect

I have written a number of times about the massive potential that resides in extracting insight from data. Leveraging new database, storage, parallel processing and cloud infrastructure, we can now get to these insights at cost levels and in timeframes that can impact decision making at very regular intervals and in major ways. This was just not possible a few
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