Experts in data science at Fulcrum Analytics have a broad range of experience in a variety of fields, methods, and applications. Their method of data science consulting is a quick and easy start-up with little commitment. They provide expert teams that may be swapped out to meet your demands.
Data Wrangling by Fulcrum Analytics
In order to provide a coherent and comprehensive data view, Fulcrum has more than 25 years of experience bringing data from many sources together. Their knowledge and security procedures can help you get the most out of the insights in your data, whether you’re hosting a website, using big data analytics environments, or creating custom reports inside clients’ environments.
Applications that Will Run Your Business Once We’re Done
Some of Fulcrum’s most potent apps have been packaged so that they can be installed and used long after their consulting engagement. Let their data scientists’ creativity and knowledge aid your company long-term:
Measure the effect of business interventions with Fulcrum Impact.
Find slow-moving trends that alter the normalcy of your data using the data anomaly detector.
Determine how price and promotions affect sales with RetailViewer
ClearGrade: Simplify the procedure for renewing insurance premium offers
Fulcrum operates in a variety of industries, including:
Grocery: They assist clients in maximising the profitability of their valued assets by enhancing pricing, promotion, and B2C communications.
Healthcare: Text mining, fraud detection algorithms, customizable dashboard reporting, and predictive analytics have helped them significantly.
Financial Services: Using techniques like developing predictive models and implementing dashboards, they have resolved the most challenging business issues.
Insurance: Using their user-friendly, collaborative programme ClearGrade, they examine the pricing of insurance policy renewals.
Retail: They gather information about various items and promotions, compile sales and profit statistics, and increase profits.
Administration of Data and Platforms
The organisation is aware that managing data and platforms may be a difficult undertaking for any corporation. They offer skilled developers, engineers, and data scientists to answer the demands of a variety of enterprises through:
- The construction of data pipelines into a centralised database or data warehouse
- Writing code to simplify data flows and reports using data visualisation
- Recognising data anomalies and warning users of them
- Creation of reusable templates to speed up procedures
- Supplying technical environments at the sandbox or “lab” level
Big Data Managed Services
Through the implementation of managed services on their AnvilTM platform, Fulcrum has been assisting businesses with their big data objectives. The Anvil platform blends best-in-class managed services with scalable, secure, and dependable cloud infrastructure. The major open source private cloud platform OpenStack, which offers technologies including server virtualization, database servers, and Hadoop big data services, as well as Docker containers, Kubernetes, micro services, and GPU processing, is where Anvil may be deployed. Anvil can also be run on AWS. The client environments at Fulcrum are constructed to the greatest security standards and follow PCI and HIPAA regulations, and Fulcrum is subject to an annual SOC-2 Type II audit.
Anvil Fulcrum and the Agile Analytics Lab
AWS or the private cloud provided by Fulcrum can host Fulcrum Anvil, depending on the user’s preference for cost-effectiveness, security, and control.
If a company needs a data lake to store collections of massive, dispersed, structured, and unstructured data, Fulcrum Anvil hosts hadoop clusters or Elastic MapReduce. Organizations may test big data strategies in Fulcrum’s big data environments without needing to make significant staffing or financial investments. Clients may access technology, platforms, and knowledge quickly and affordably through their managed services for big data, which is frequently used as an Agile Analytics Lab. It is ideal for proving the viability of new ideas, analysing fresh methods, and deciding where to put down more substantial financial expenditures. As an added bonus, the lab can make it easier to build enterprise-level data reservoirs.
Richard Vermillion, CEO
Fulcrum’s CEO since 2011, Richard Vermillion previously served as the organization’s CTO from 1996 until 2011. He formerly held the position of chief architect for Fulcrum’s technology product and service offerings.
He established Fulcrum’s cutting-edge data science and engineering skills as CEO by overseeing a management buyout of the company in 2013. He oversaw the 2015 spin-out of After, Inc., the top supplier of warranty analytics solutions, and served as its CEO up until its successful sale in 2017.
Richard worked for McKinsey & Co. before joining Fulcrum. He graduated from Princeton University with a B.S.E. in mechanical and aerospace engineering.