DM STAT-1 Consulting
visit site- $5,000+
- 2 - 9 employees
- North Woodmere, NY
DM STAT-1 Consulting is a big data analysis company in North Woodmere, NY. Founded in 1994, DM STAT-1 provides BI/SI & big data consulting and CRM consulting services primarily for midmarket businesses.
Client Insights
Industry Expertise
20%
20%
10%
10%
10%
5%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 1%
Midmarket ($10M - $1B) 95%
Enterprise (>$1B) 4%
Common Project Size
$50K-$199K 2 projects
$10K-$49K 1 project
Clients
- Citibank
Highlights from Recent Projects
DM STAT-1 Consulting provided business consulting services for a data analytics consulting firm. The company president needed technical advice for projects where his expertise wasn't as detailed or specific as required. DM STAT-1 helped in identifying the appropriate methodology needed to solve the problem at hand, such as suggesting whether to use regression analysis or factor analysis. On occasions, they executed the work using their expertise. The collaboration started in 1995 and is ongoing. The president praised the professional courtesy of DM STAT-1, as they often provided advice without charging.
DM STAT-1 Consulting worked with a decision analytics firm on a challenging project involving direct marketing machine learning. The client's request was beyond the firm's knowledge level, and DM STAT-1 suggested using machine learning instead of traditional statistical methods due to the client's small amount of data. The approach was successful, saving the client from buying additional data and lists, and the project was completed in 2009. The technology used was basic hardware and a proprietary tool developed by DM STAT-1's owner, Dr. Bruce Ratner, called Gen-IQ.
DM STAT-1 Consulting provided data modeling services for a marketing consulting firm. The firm's president engaged DM STAT-1 primarily for data mining and data modeling, designing and developing statistical models and segmentations for marketing analytics work. DM STAT-1 also consulted in the design and development of the firm's team and helped establish an approach for data exploration and model development. The goal was to build models that continue to perform and validate over time. The last project they worked on together was in Spring 2012, where they updated a model for Merritt’s Motivation Company.