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
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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.
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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.
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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.
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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.
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.
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.
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.
