Data Engineering and ERP
Enabling your intelligent automation journey.
Gauri has been at the forefront of architecting and delivering data engineering solutions and services for our clients for more than 5 years. Powered by our robust digital platforms, business insight and technology understanding, we have been our customers preferred partner in this space.
Data Maturity Assessment
We help you assess your organisation’s data capabilities, educate your employees, identify gaps and compare their progress against benchmarks.
A maturity model creates the opportunity for your data programs to align and demonstrate to the business stakeholders, the senior executives, as well as regulators that they are adhering to an industry best practice critical to building, sustaining, and leveraging their data.
Data Governance Framework
We help you propel your Data Governance Strategy by helping with planning, defining, budgeting, governing, and rooting in the brass stacks of your enterprise.
We will ensure that the key stakeholders in your organisation including Risk, Privacy, Security, Legal, and Compliance are tightly engaged in this process. The outcome will include people, process, frameworks, policy, data, technology and cultural practices that will ensure Data governance is well adopted.
Data Quality Audits
Data quality problems are often widespread and originate in your source systems, their applications, and operational processes. We help you conduct a detailed audit of your Data with a focus on its quality throughout the Data value chain. By ensuring adequate process controls and a reasonable quality at source concept, your Data will be ready for efficient and effective downstream analytics.
We will deploy state-of-the-art approaches for auditing and ensuring the right tools, frameworks, and algorithms are put in place to address data quality on an ongoing basis.
Data Engineering and Architecture
Being closer to core information systems that run an enterprise, Data platforms not only help aggregate information for decision making but also help in automating day-to-day decisions and integrating with workflows or operational systems. They need to manage real-time data from multiple source systems as well as archive historical data to facilitate detailed analytics or for complying with regulations.
Building, running, and maintaining an enterprise-wide data platform calls for the right choice of technologies and the associated architecture. We support bespoke data platform implementations or can also support revamping and amplifying the existing data platforms that your organisation may have.
Data Migration Consulting and Implementation
As organisations look to modernise their data landscapes and applications that feed into such platforms, it is more and more important to institutionalise a systematic way of migrating data from legacy applications and databases/data warehouses to state-of-the-art efficient and fault-tolerant data platforms. With too many legacy systems and organisational processes that encumber the systems, it can become overwhelming to perform data migration.
We bring in our unique approaches for leading the conversation around data migration, blueprinting a proper road map with technology choices, and assist with designing and deploying data migration processes and frameworks.
Drop us a line or two to tell us about your business and we'll be in touch.
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.
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.
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,...
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...
Background The success of a BI and Analytics system or platform is characterised by how well it has been architected and built, by considering a variety of factors. Some of these are listed below: Data access: Does it account for volume, variety, velocity, veracity...
Background Business intelligence (BI) is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. It was coined first by Gartner group in the 1990’s. It is a content-free expression, so it means different...