Our vision is to blend human intelligence with super-intelligent apps. Tools like ChatGPT, Gemini, Claude, and many more apps are very well-suited to do what they do best with data, with minimal human involvement. Our research aims to blend the tools with humans to get the best output.
We have 4 main sections:
a. Data Cleaning: Data cleaning is the process of correcting errors, removing duplicates, and handling missing or inconsistent information in a dataset. It is needed to ensure that data is accurate, reliable, and ready for analysis. Clean data helps organizations make better decisions and avoid misleading results.
b. Margin Leakage: Margin leakage occurs when a business earns less profit than expected because of pricing errors, excessive discounts, rising costs, or missed charges. Identifying and preventing margin leakage is needed to protect profitability and improve financial performance. Tracking it helps businesses control costs, correct billing issues, and make better pricing decisions.
c. Reconciliation: Reconciliation is the process of comparing records from different sources to ensure they match and identifying any differences. It is needed to detect errors, missing transactions, or inconsistencies in financial and business data. Regular reconciliation improves accuracy, supports reliable reporting, and helps organizations maintain proper controls.
d. Dashboard: A dashboard is a visual display of key metrics and information that helps users monitor business performance. It is needed to bring important data together in one place, making trends, issues, and progress easier to understand. Dashboards support faster decisions by helping users track goals and identify areas that need attention.
(i) Lagging: A dashboard with lagging indicators displays metrics that measure past results, such as revenue, profit, and customer churn. It is needed to assess actual performance and determine whether business goals were achieved. These insights help organizations identify trends, evaluate past decisions, and guide future improvements.
(ii) Leading: A dashboard with leading indicators displays metrics that signal potential future performance, such as new sales opportunities, customer inquiries, and employee training completion. It is needed to identify early signs of progress or potential problems before they affect business results. These insights help organizations take timely action, adjust strategies, and improve the likelihood of achieving their goals.
Note : We focus a lot on leading indicator which is on our website as a sample. But if our clients request for lagging indicators we do that too, a request required. As 9 our of 10 BI companies use lagging indicators with Power BI or Tableau. We use React.js combined with PostgreSQL when needed. Please check out our dashboard section before you make up your mind.