Data-Sleek
visit site- $10,000+
- 10 - 49 employees
- Los Angeles, CA
Data-Sleek, a big data company, was launched in 2020. Based in Los Angeles, California, their small team provides BI & big data consulting & SI and web development.
Client Insights
Industry Expertise
35%
30%
10%
10%
10%
5%
Client Size Distribution
Small Business (<$10M) 80%
Midmarket ($10M - $1B) 20%
Common Project Size
$10K-$49K 3 projects
$50K-$199K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Data-Sleek was hired by the U.S. Trading Company to optimize their SQL servers and establish an on-prem analytical data infrastructure. The Head of Data Science & Analytics sought out Data-Sleek due to their high ratings, proximity to their location, and cost-effective pricing. A single employee from Data-Sleek was assigned to the project and successfully completed the tasks, enhancing the company's operational efficiency.
In another project, Data-Sleek was contracted by a unified messaging SaaS company to optimize and transition their databases from internally managed cloud and on-prem to a fully cloud-managed system. The Head of Technology selected Data-Sleek due to their prior successful collaborations with other technical consultants. A team of five, including database experts and project managers, was assigned to the project. They successfully set up replicated DB clusters for redundancy and disaster recovery, and transitioned the database clusters to a fully cloud-managed system.
Data-Sleek was also engaged by an advertising and marketing firm specializing in performance-based mobile app marketing. The company's director hired Data-Sleek to set up DBT, implement DBT processes, and provide DBT training. Data-Sleek was selected due to their high ratings and good value for cost. A team of 2-5 employees was assigned to the project, and they successfully implemented the DBT processes and provided the necessary training to the marketing firm's team.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2024
2024
2024
2024