Advisory and Strategy
Our Data Strategy Consulting and Data Analytics Advisory Services are primarily based around Data Modernization Strategy, Enterprise Analytics and Data Modeling, Bespoke Workflows and Automated Solutions, Data Migration Frameworks and Solutions, and Cloud Data Platform Best practices.
As a trusted partner, indigoChart has helped clients implement best practices, has shown results using automated solutions, and has helped realize cost savings on both new and existing cloud data platform implementations.
Challenges and Solutions
Automation and Workflow Solutions
An existing business process which required data files arriving from multiple locations into a centralized repository faced delays in processing data and making it available in a timely manner for reporting purposes.
indigoChart was engaged to help streamline this process and to build custom workflows with automations and notifications in a solution stack comprising of Snowflake and Prefect 2.0 on AWS cloud.
Data Platform Optimization
Even cloud-native data platforms like Snowflake need to be optimized, whether it's for query performance, storage and computation, or warehouse sizing. To achieve this, evangelizing effective use of the platform's capabilities and best practices is necessary and so is successfully implementing these.
With indigoChart's proficiency and expertise in optimizing Snowflake, we were able to deliver value in multiple areas where applicable.
Analytical Solutions Improvements
Developing ERP Analytical Data Solutions within an external data platform poses many challenges to data teams, most common among which are data engineers being tasked with extracting data from underlying tables within a staging area manually, or spend mind-numbing hours with subject matters experts trying to make sense of the data models and manually re-construct the business logic embedded in the source ERP system.
At indigoChart, we have addressed this issue head-on by developing automated solutions based on use cases in addition to providing ways on how this can be efficiently handled, even when manually developing the analytical models.
Areas where we can assist
FAQs
We have a Snowflake integrated data platform and are leveraging features and functionalities offered by Snowflake to our advantage. Why do we need you? indigoChart helped one of their clients save 60% on Storage costs and about 40% in Compute costs even though this was a well managed system. There's always opportunities for cost savings that we can help you discover.
Our Data Security Management is handled by IT, with data sharing policies defined by business owners. What more can we do? We strongly believe that business domain owners must be empowered to make data sharing and data security related decisions. Thus, using platform specific security features embedded within automated solutions, with IT playing the role of the enabler, is a more viable approach.
How can we map our own organizational data classification definitions to Snowflake defined Security features? Using a combination of Snowflake defined data classification features such as Extracts Semantics and Associate Semantics and indigoChart's custom data classification solution, we can help automate policy association for sensitive data.
Developing analytical solutions from an ERP source system like SAP is hard and we have the required skills in house to achieve this. Where do you come in? We agree. This is true for any enterprise application source where domain knowledge is paramount. indigoChart has developed analytical frameworks that not only focuses on generating data models via automation but also leverages metadata to help develop enterprise Knowledge Bases.