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The probability of your organization storing ‘Dark data’ is pretty high. ‘Dark data’ is data that is not used and can be from multiple sources such as connected devices, from transactions, social media and more. It is likely that you are creating data exhaust if you are already using AI technologies and automation.
Are you waiting to uncover the hidden opportunities here? Envision intelligent technologies being fuelled by a continual stream of insights; quicker, smarter decisions to accelerate innovation or 360-degree customer views to boost relevance and revenue. Indium’s Data Analytics service can empower you to do that.
Indium Software offers a comprehensive suite of data analytics solutions and insights-related services to enterprises seeking to maximise the value of their data.
We analyse data and generate valuable insights from data using advanced analytics techniques and our expertise in cutting-edge technology.
Our AI-powered data analytics services help identify ways to combine insights, forecasts, visualisations, advanced analytics, and more to harness the extremely powerful business analytics capability.
We bring you solutions that address your enterprise challenges and direct your data assets to drive value by leveraging the transformative power of analytics.
We help understand and analyse your business`s promotional mix to improve your ROI through pricing & revenue analytics. Revenue analytics Social media analytics Pricing analytics Product recommendations management Demand-supply optimization Market trend analysis Competitor analytics
A FinTech company needed an analytics development partner for creating a solution that would take publicly available information about companies, analyze the past performance and project the future growth potential.
The solution was to analyze the core company data to project potential growth in the coming few quarters, considering various internal and external factors influencing this, and thereby giving investors the insights needed to assess the suitability of the venture for investment. It was a disruptive process as earlier auditors would personally examine the profit and loss statements and use their intuition to arrive at the decision, which was prone to human error.Read More