Dataklas delivers a flexible licensing model that is affordable for any company in 12 different industries. DataKlas system allows companies to: Simplify process management and increase productivity Make complex but efficient and intelligent tasks Comply with multiple legislative regulatory requirements Organize and optimize data exchange for B2B collaboration Evaluate processes using real-time enterprise data and analysis Use consistent information globally Define metrics and service level agreements that are critical for the business Better administer maintenance capital budget Get full visibility into what they own and lease (costs, locations) Improve corporate resources and asset utilization Mobilize field workforce to be nearer to customers DataKlas key differentiators are: Light-speed financial transactions, cloud-ready architecture Easy-to-use, user-centric visual interfaces Flexible, modular archtecture allowing a pay-as-you grow license model Segregation of duties and security policies at multiple levels Out-of-the-box, ready to use software packages and implementation mainly through customizations Global integration of all existing activities Web-based interfaces for suppliers and customers Best-in-class automated controls Ability to quickly and easily share information across entire organization
| Website | http://www.dataklas.com |
| Revenue | $1 million |
| Employees | View employees |
| Address | PO Box 453, Chapel Hill, North Carolina 27514, US |
| Phone | +40 372 307 060 |
| Industry | Consumer Electronics & Computers Retail, Retail |
| Competitors | Microsoft, IBM, SAP, Domo, Tableau, Qlik, TIBCO Streaming, BankOne, Sisense, Looker +44 more (view full list) |
| SIC | SIC Code 504 Companies, SIC Code 50 Companies |
| NAICS | NAICS Code 42 Companies, NAICS Code 42343 Companies, NAICS Code 4234 Companies, NAICS Code 423 Companies |
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The DataKlas annual revenue was $1 million in 2026.
DataKlas is based in Chapel Hill, North Carolina.
The NAICS codes for DataKlas are [42, 42343, 4234, 423].
The SIC codes for DataKlas are [504, 50].