Enterprise Applications: Data Analytics: Top 10 Drivers Behind the Growth

 
 
By Darryl K. Taft  |  Posted 2011-05-09
 
 
 

Data Explosion

There are more than 1.8 billion people on the Internet with 4.6 billion mobile phones. By 2020, there will be 50 billion connected devices, all producing data. Last year, 1,200 exabytes of data were created, and its doubling every 14 months. Every company will have a big data strategy and deploy??ísome form of analytics.

Data Explosion

New Software, Hardware Architectures

No SQl , New SQL and flash memory. This is??íthe first significant challenge to SQL dominance in 30 years, and it will make databases a growth area again.??íHadoop is emerging as a leader in No SQl databases. MapReduce is one of the new techniques for analyzing non-transaction optimized databases.

New Software, Hardware Architectures

Real-Time Analysis

To be current and even predictive,??ídata has to be assessed in real time. By 2008, Omniture was already analyzing more than 1 trillion transactions??íper quarter running on a real-time network of about 20,000 open-source-based servers.??íLarge retailers were running 10- to 15-minute campaigns, side by side with different sites, to determine which created the best results to use in campaigns.??íIt was a concept unavailable even a couple of years before.

Real-Time Analysis

The Adaptive Web

The adaptive Web is the next generation of targeting. Wisdom of the crowds is used to help create sites for each individual customer. Clicks, conversions and engagements are being trumped by packages that can understand the intent of those engagements. Baynote is a company that observes engagement patterns among like-minded individuals to understand user intent to automatically adapt the online experience to the individual.??í Baynotes slogan is Stop analyzing. Start adapting.

The Adaptive Web

Verticals and Specialization

Verticals and specialization are fostering new algorithm development for analytics. IBM in 2009 bought SPSS and announced a new vertical strategy for analytics. Algorithms and techniques increase their value in??ívertical domains. SignalDemand has improved predictive analytics for commodity businesses, and matches supply- and demand-side data to guide their customers to better pricing and product mixes. Star Analytics, another Hummer Winblad company, focuses on financial services and automates both the workflow and integration of all the other business-intelligence products to create an enterprise financial picture.

Verticals and Specialization

Social Marketing

Social marketing is letting companies run campaigns that include social sites. The best influencers can greatly??íexpand the qualified prospect list and increase the funnel mid-campaign. Measuring return on investment is key. Crowd Factory quantifies the value of social media by connecting social activity to conversion events.

Social Marketing

Going Beyond the Web

Media areas beyond the Web applications are improving their effectiveness with analytics. AceMetrix delivers on-demand television advertising analytics. The company has patents pending that measure the creative effectiveness of in-market TV advertising and lets them benchmark against existing ads from competitors. Hummer Winblads latest investment, Kiip, combines analytics and targeted rewards to increase game use.

Going Beyond the Web

Real-Time Dashboards

Hummer Winblad is seeing new companies that gather real-time data from around the organization and simplify it to create easily customizable simple-to-read dashboards that executives can monitor in real time.

Real-Time Dashboards

Visualization

Deloitte sees visualization as the top tech trend of 2011, according to Hummer Winblad. Visualizations are growing at a pace reminiscent of the early days of online video. There were 10 million viewers of visualizations in 2010, Hummer Winblad said. That is expected to grow to 40 million by next year. Publishers post eight infographics a week now, compared with two days a week last year.

Visualization

Unstructured Data

Understanding and quantifying unstructured data is important. Hummer Winblad is seeing more companies proposing algorithms to discover intelligence in unstructured content and analyze it to understand sentiment from emails to articles to analyst reports. IBMs Watson is the new gold standard in contextual analysis.

Unstructured Data

Rocket Fuel