Cicero Group: Empowering Enterprises through Data Analytics and Predictive Modeling

Lawrence Cowan, Partner
As stated by Jeff Weiner, CEO of LinkedIn, “Data really powers everything that we do.” With the influence of the internet and Information Technology (IT) over the last few decades, big data has gained immense importance in the enterprise landscape. As a growing number of companies adopt Big Data, data accessibility at the right time and place, while having the right team to use that data is proving to be challenging for CIOs. Salt Lake City, UT based data-driven strategy firm, Cicero Group, helps executives develop their data strategy in the context of business objectives, and then implements systems and solutions that improve company performance.

To exploit the potential of big data completely, enterprises need better data inter-connectivity and internal access. Cicero Group serves a range of Fortune 1000 companies by triangulating their internal big data, secondary data, and primary research and helps them to maintain an uninterrupted data system. “Increasing sensor-based data and transmission and computation speed are making real-time data streams more applicable,” extols Lawrence Cowan, Partner, Cicero Group.

Cicero Group ensures the utilization of appropriate tools after acquiring a vaster and clearer perspective of a company’s business objectives. Besides supporting the roll-out of technologies like Hadoop or NoSQL databases or Hybrid Transactional/Analytical Processing (HTAP) within the clients’ environment, Cicero Group also leverages an enterprise’s existing tools depend¬ing on the business goals and data/ data architecture maturity. “Not every company needs newer technolo¬gies right away,” Cowan adds. Through these services and tools, the firm enables enter¬prises to achieve advanced target marketing, stronger customer service, and streamlined processes with added competitive advantage.

Cicero Group’s predictive analytics service helps enterprises in combining datasets and presents a visualization framework to enable clients to achieve a number of revenue-generating or cost-saving initiatives, including targeting prospective customers, increasing close rates, and reducing attrition.
Moreover, the company’s big data management services analyze an enterprise’s life cycle, customer preferences, segmentation, and profitability and represent a customer on the individual and collective level. This helps businesses achieve increased ROI on the marketing dollar and develop a refined corporation strategy with a better understanding of their core customers. In addition, Cicero Group with its inductive and data driven approach, empowers businesses to avoid mistakes that harm profitability. “Mistakes propagate due to inertia, inaccurate opinion, or using the wrong metrics to measure success,” says Cowan.


Increasing sensor-based data and transmission and computation speed are making real-time data streams more applicable


For instance, Cicero Group endowed a financial institution that was stumped with difficulties in data accessibility with apt solutions and demonstrated the data value. The client transacts a fair amount of data every minute with only a few analytical systems to offer more than the required reporting for regulatory purposes. “We showed 20-50 times more efficiency with certain marketing initiatives by opening access to the data using a private cloud-based data warehousing system,” extols Cowan.

The consulting firm, Cicero Group, is enthusiastic to adopt new tools such as HTAP databases and other latest technologies that will help them improve the connectivity of the internet of things. “Our company is well prepared to deliver high quality analytics and modeling to meet business objectives,” states Cowan. “Cicero Group maintains the cycle of positive client feedback through consistently delivering impactful work, retaining talent, driving efficiency and effectiveness,” he concludes.

Company
Cicero Group

Headquarters
Salt Lake City, UT

Management
Lawrence Cowan, Partner

Description
Serves companies by triangulating their internal big data, secondary data, and primary research to develop evidence-based strategies