CRM IT | We fix your CRM & ERP issues
Enable technology adoption to fuel organisation growth
IT needs to step-up its game to enable growth through data-driven application ecosystem.
Technology is rapidly changing. Modern IT leadership need to think beyond staying relevant. Questions are:
- Which solution is right for my organisation
- How do I ensure technology adoption is aligned to my organisation’s strategy and existing technology adoption maturity
- How can I leverage technology for organisation’s growth
- How should chose the right technology partner, who has the intent to help me in my journey, and has the right depth of knowledge and is cost effective.
These questions need a thorough assessment, experience and foresight. You need a partner, who believes in your vision and helps you co-create the pathway to achieve it.
Gauri was founded on a principle that our customers must get the right value from their IT investments. We have been helping organisations build robust digital platforms for more than a decade with 95% client retention.
Our unique engagement model provides a flexible and transparent view on our processes forging collaboration and certainty. Most importantly, our talented and motivated team will stand by throughout the transformation journey however big or smaller a project is.
While statistics state that majority of digital transformation programmes fail, each one of our implementations have been a huge success. Like any project, there were challenges, which we overcome by brining-in our experience, technical knowledge, collaborative approach and most importantly, our intent, of being a trusted partner to ensure the ultimate success for our clients.
Background Modern Data Engineering involves creating and maintaining software and systems for accessing, processing, enriching, cleaning data and orchestrating data analysis for business purposes. Data engineers build tools, infrastructure, frameworks, and services....
Background The availability of petabytes scale of structured and unstructured data has lent itself for large-scale harnessing thanks to Data Science and AI. Advances in parallel and distributed computing, and the algorithms to process data of all types including text,...
Background Organisations of all types – be it for-profit, not-for-profit, or Governmental – have all been shaken by the pandemic for over a year now. The need to be in constant touch with the end-users or customers, as well as the key service delivery agents or...
Introduction Here, we discuss themes familiar to many in CRM. We build on foundations laid in these articles and add to the discussion with our input. Do check out these academic articles. We appreciate the efforts of those authors: Invisible data quality issues in a...
Background The application of mathematical methods and computer science techniques coupled with statistical modelling on industrial data has been around for several decades. However, in their new avatars of Data science and Machine learning, they seem to have garnered...
Briefly, why did CRM come into being as a distinct element in the first place; couldn’t it have been an extension of the all-encompassing ERP? During the early days of CRM, the concept was developed by a new set of companies who saw the value in developing a tool for...