Even if you don’t believe real-time feeds will become the dominant content consumption paradigm, it’s clear they’re a growing force. Consumer-paid access to real-time feeds is largely constrained to paid mobile apps, and advertising would appear to be the immediate payoff. Here’s how social media companies can best cash in.
I’ve linked to several different stories about social media advertising today. Twitter is beefing up its staff devoted to advertising, and touting results and return customers. Measurement companies are making fantastic claims about mobile app audience size. Meanwhile, Microsoft appears to be shutting down Massive, its acquisition that placed advertising inside of video games. Delivering big audiences is one thing, but social media companies will have to prove their ad inventory delivers the engagement and pass-along that are unique to the medium, and provide benchmarks and comparisons with other media.
With companies — including the rich, technology-savvy banks — struggling to store and analyze their mountains of data, it pays to establish a foothold in the analytics market. For vendors utilizing Hadoop, the promise might be even sweeter.
Recent stories about social networking companies and third-party data suppliers highlight a key challenge currently facing social media: advertising measurement. Companies that best address this challenge by pairing the new medium with more traditional media buying will be the ones to get the advertising revenue.
The action in the data warehouse/analytic database space has been hot and heavy over the past couple weeks, with new funding, acquisitions and partnerships announced seemingly every day. It likely won’t slow down anytime soon, and here are a few acquisitions that may be coming down the pike.
I’m back from my short-lived paternity leave, and what a day it is to get back in the saddle. Oracle probably wanted to hog the spotlight with the OpenWorld kickoff and its rash of announcements — including ExaLogic and an upgraded Exadata — but IBM stole the show by snatching up Netezza. Oracle seems like a prime candidate to capitalize on the Big Data avalanche, but it might need to ramp up its innovation to compete with the ever-active IBM, which has spent billions on analytics R&D and M&A over the past few years. As for ExaLogic, well, it’s a lot of brawn, whether you need it or not.
Later this afternoon, Twitter will be hosting a press event. BoomTown’s hoping for improved search. Alley Insider also suggests search, and analytics or new ad units. Others are also looking for analytics, or perhaps a business network for professionals. Twitter sorely needs more tools and options for marketers, but I don’t know if it has the internal talent to develop them. More UI innovation, including search, makes a lot of sense.
There has been some back and forth over whether the recent spate of IT acquisitions is trend or merely a string of coincidences. Thanks to today’s news that HP is buying automation vendor Stratavia, you can put me in the trend camp. Apart from Dell, HP and IBM buying like crazy, we’ve also seen smaller companies like Quest Software padding their product portfolios, and talk is rampant about who’s next on Oracle’s hit list. EMC bought Greenplum last month. Cloud computing and big data tie all these purchases together. It’s all about scalability, automation and analytics, and how they all fit together.
I’ve been reading a lot about parallel programming this morning, particularly as it relates to big data and analytics. As expected, most of it is Hadoop-related, but Microsoft’s forthcoming Dryad model is also getting attention now that it’s on track for commercial availability. Whatever the foundation, though, we’re bound to see nearly every software vendor worth its salt start pushing advanced BI products very soon. Perhaps the ultimate lesson learned from web pioneers won’t be how to build infrastructures that mirror theirs, but, rather, how to manage and utilize data as effectively as them.
A few months ago, I posited that additional funding for Cloudera and Karmasphere signifies a large market opportunity for solutions that utilize the open-source analytics tool Hadoop. This week, Yahoo hosted its third annual Hadoop Summit, and the sheer amount of news that generated only affirmed my beliefs.