Filed under: #mktgcloud, Data, Datarati, Marketing Automation, Revenue Performance Management (RPM) | Tags: Data, Datarati, Marketing Automation, Marketo, Revenue Performance Management
On the heels of acquiring sales data analytics company Varicent last week, Big Blue is making another buy in the data space today— Vivisimo. Financial terms were not disclosed.
Vivisimo, which has raised $6 million in funding, launched as a spin-off from Carnegie Mellon and applies clustering technology to enterprise search. Vivisimo provides enterprises with search software that helps organizations access and analyze big data across the enterprise.
Vivisimo products are available for standalone search applications or as OEM versions embedded within partner applications and solutions. The software automates the discovery of data and helps employees navigate it with a single view across the enterprise.
REGISTER HERE: http://www.letstalkbusiness.nsw.gov.au/2012-program/data-strategies/
Mu Sigma, a provider of analytics and data-driven decision support services for enterprise customers, has raised $108 million in funding in a round led by growth equity firm General Atlantic.
The financing comes about half a year after Mu Sigma raised $25 million from Sequoia Capital, which also participated in this round.
Headquartered in Chicago with most of its 1,500+ employees working out of Bangalore, India, Mu Sigma is a professional services firm that helps companies analyze ‘big data’to “institutionalize decision support”.
In a statement, Mu Sigma says it is already profitable and able to finance its operations on its own, but that it raised more venture capital to ‘accelerate growth’.
A portion of the new capital will be used to purchase shares held by existing shareholders, but the company did not disclose which shareholders and how much of the $108 million injection will be reserved for the buybacks.
Mu Sigma did say all current shareholders will retain stakes in the company.
More in this Wall Street Journal article.
Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation. While the moves of companies such as Amazon.com, Google, and Netflix grab the headlines in this space, other companies are quietly making progress.
In fact, companies in industries ranging from pharmaceuticals to retailing to telecommunications to insurance have begun moving forward with big data strategies in recent months.
Together, the activities of those companies illustrate novel strategic approaches to big data and shed light on the challenges CEOs and other senior executives face as they work to shatter the organizational inertia that can prevent big data initiatives from taking root.
From these experiences, we have distilled four principles that we hope will help CEOs and other corporate leaders as they try to seize the potential of big data.
More: http://www.mckinseyquarterly.com/Seizing_the_potential_of_big_data_2870
Mintigo, a company that provides big-data analysis for customer acquisition, has $9 million in Series B funding led by Sequoia Capital, Giza Venture Capital and other private investors.
Mintigo helps companies sift through data sets to find leads and potential customers. The startup’s Mintigo, customer targeting and acquisition solution is a custom engine that analyzes a company’s unique customer acquisition goals and then crawls the web, looking for prospects with high potential and receptiveness to the product offered.
Mintigo’s software analyzes a company’s existing customer base to find its distinct ‘Customer Code’ which the company compares to the DNA of a company. The startup can identify this profile and search the web to find other companies and customers that match it. The service crawls company websites, directories, boards, and social media networks including Facebook and LinkedIn to find the most qualified sales leads in a sea of unstructured Web data.
Mintigo is already working with businesses in the technology, mobile and insurance industries to improve their sales conversion rate. In one recent case study Mintigo was able to identify the correct contact (email and phone) in 90% of leads, 87% were new leads that were unavailable from other sources, and the leads produced a four times to eight times higher response and conversion rates in a direct email campaign.
Filed under: #mktgcloud, CRM, Data, Datarati, Datarati.TV, Marketing Cloud | Tags: Dreamforce, Salesforce


















