Adding scalability and sustainability to your data stack

How it is

Individual entities working with their business unit’s data as separate silos.

How it should be

Organisations working in harmony by collaborating with individual data products.

How we add value for you

  • Data products are a way to de-silo your ecosystem while understanding its true potential by grouping them into products to enable collaboration & reliabitly while maintaining a strong data governance.

    How do we add value:

    By adopting the data product strategy, we can create a one point of truth for your data ecosystem and thereby reducing your OpEx costs by 20%

  • A data contract sets the rules for sharing data effectively between providers and consumers. It outlines the format, quality, and terms for data exchange, ensuring smooth communication and clear expectations.

    How do we add value:

    Drafting data contracts plays a key role in bringing clarity on the data movement within the organisations, thus boosting productivity

  • A structured quality assurance is critical while building any data products to ensure reliability to the data consumer at the same time ensure the organisation makes the right decision with the right quality of metrics while reducing the uncertainties

    How do we add value:

    By utilising a structured and automated quality checks on data and metrics, we improved the trust on data and clarified uncertainties to help organisations make more successful decisions

  • Descriptive Analytics

    Understanding what has happened and what you can learn from your historical data

    Predictive Analytics

    Predict next and future values of key metrics (CLTV, Sales, Churn, etc.) by leveraging the historical data

    Prescriptive Analytics

    Prescribe the next best step of action based on the predictions and historical data

  • Data platforms are a great way to reduce complexities in costs and DataOps. With a single platform managing your data pipelines, catalog, warehouse, reports, etc. it becomes much easier to realise the full value of your data by building data products on them.

    We at StackNexus have partnered up with several such data platforms to ensure that your data ecosystem and data products are best tailored for your needs while optimising your costs and time to value. Item description

How do we do it

Step 1

Data Audit

We will first understand your current dataverse from where it is being produced to how it is being consumed and the value it generates. From this, we will provide you an initial comprehensive health report of your data.

Step 2

Ops Analytics

Along side the health report which looks at your dataverse from top-down, we will also give you dashboards which monitors your data consumption from a bottom-up perspective along with its carbon footprint to give you a comprehensive overview of the cost and environmental impact of your data.

Step 3

Data Productization & Platform integration

Once we understand your dataverse, we can then help you optimise your operations and improve productivity by adopting and building data products and data contracts.

Step 4

Value Store

Once your data ecosystem has been de-siloed with data products, you can easily chose and add domain specific downstream analytics services such as x360, product recommendation, churn prediction, etc. on a click of a button on our data value store.

Use Cases

  • Real-time Carbon Footprint Monitoring Boosts ESG Compliance by 30%

    Provides organizations with a holistic view of their carbon footprint, facilitating data-driven decision-making and enhanced sustainability efforts through real-time monitoring and trend analysis of key environmental metrics.

  • Predictive Analytics Slashes OTT Churn by 25% for Leading Streaming Platform

    Forecast OTT churn rates using predictive analytics on user interactions, subscription behavior, and content consumption patterns. Develop predictive models to identify and address churn risks proactively.

  • Unified Customer View Enhances CX and Increases CLTV by 20% for Retail Giant

    Integrate data from various sources for a holistic customer perspective. Unveil insights into behavior, preferences, and interactions to refine marketing strategies and elevate satisfaction. Drive revenue growth through personalized campaigns and proactive service initiatives.

Our Partners

Our Stories

  • Data Meetups

    Working closely with the Data professionals across geographies to build communities to discuss on the fundamentals of data and reshaping the way we look at data

  • With the thought leaders

    Actively participating with the data leaders in multiple markets to understand their core data pain points and help them achieve success in reshaping their data environment

  • State of Data

    Stay tuned to this space to hear more about our upcoming podcasts, webinars, etc.

“Data is a precious thing and will last longer than the systems themselves.”

— Tim Berners Lee, A Framework for Web Science (Foundations and Trends)