Data Science and Artificial Intelligence
Powering your enterprise with intelligent data-driven solutions
Successful digital enterprises harness the power of data, analytics and AI for high growth and differentiation. A robust data strategy coupled with a scalable data platform is the key foundation for realising this goal.
Data Strategy Approaches
Striking the right balance between the following approaches is very important.
A Defensive Approach
Adopting this approach ensures minimising downside risks, such as:
- Penalties due to regulatory non-compliance
- Revenue leakage due to fraud
- Loss of business due to data and information theft
Being defensive is about identifying, standardising, and governing enterprise data assets while curating the Single Source of Truth (SSOT).
An Offensive Approach
Adopting this approach advances business goals, such as:
- Increasing revenue
- Improving profitability
- Ensuring customer satisfaction
Leveraging offensive approach involves generation and monetisation of customer and business insights by integrating disparate sources of data via Multiple Versions of Truths (MVOT).
How Gauri can help
We enable your business to harness the power of data, analytics and AI with comprehensive advisory and implementation support.
We bring our expertise in real-world and practical deployments to plan, initiate and execute your vision. Through approaches like design-thinking and other proprietary methodologies, we tailor the strategy to cover:
- Data Engineering,
- Analytics and BI,
- AI and Data Science,
- Digital Integration.
A tangible outcome of this exercise will include the executable blueprint covering people, process, and technology issues for your data journey.
Analytics and BI
Analysing and shaping business processes and improving decision-making and business results using techniques such as data mining, data cleansing, data transformation, data modelling, and visualisation.
Polarn O. Pyret
Odin Retail required a transaction insights tool to be able to make informed decisions about marketing campaigns and identify best customer acquisition methods.
This case study reflects our approach and outcome achieved for Odin Retail Ltd.
Read how water retailers can now visualise the market and leverage opportunities to grow their customer base based on Gauri’s state-of-the-art analytics solution based on Tableau.
This case study reflects our contribution for MOSL to build the BI option for the water retailers.
Numbers and statistics are the ultimate truth with the condition that they are presented neutrally. Numbers can be very simple to understand yet there are numerous methods available to manipulate their representation which can fool anyone if not everyone. Ronald Coase...
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,...