Augmented Data
Quality

Processes made for advanced and complex rules on data that aim for Data Quality.

GET STARTED

Challenges Faced

Categorical Data

Manual validations of distinct data in tables, relationships, and data mapping to a valid value take lots of manual effort for Data Stewards.

elixirdata-categorical-data

Numerical Data

Making Analytics decisions for statistical data and Fact data requires ML model training and operational accuracy management of Data and its flow.

elixirdata-numerical-data

Higher Computing Cost

A lot of computing (Cost) is required for keeping Data Quality Metrics updated and in Augmented shape.

elixirdata-higher-computing-cost

Overview of the solution provided

elixirdata-data-profiling-1

Data Profiling is better visualized with the help of ElixirData’s Observability platform which helps to improve Data Quality.

elixirdata-centralized-data-platform

Having an organized and centralized Data platform shapes Data Quality by publishing the common data understanding required for Data Analytics.

elixirdata-automation

Manual Handling of Data Quality metrics needs not to perform manually again by taking the help of ElixirData’s Automation.

elixirdata-knowledge-workflow

Discrete knowledge workflow from Connecting the data source up to visually representing the data brings reliability on Quality for Business Teams.

elixirdata-solution-provided

Features of the solution

elixirdata-reliable

Having a reliable platform where computing costs can be reduced just by an intelligent understanding of the platform gives more scope for building complex Data Quality metrics.

elixirdata-categorical

Augmented way of identifying Categorical data from Numerical Data and irrelevant data reduces the strain of Manual workflow management.

elixirdata--roof-of-augments

Hindcasting and forecasting data Quality Checks can be automated under the common roof of Augments and brings in the space of Experimentation on Data.

elixirdata-data-quality-1

AI and ML teams will no longer have to maintain manual documentation for the steps of Data Quality as ElixirData has the capacity to automate such workloads.

elixirdata-quick-production-release

Having the reduced human interventions gives the ability to bring more capability on Data to deliver Quick production releases which improve the customer experience.

elixirdata-automate-documents

Reliability is at the core of ElixirData as Augment of Data Quality is easy to achieve by fundamental categorization of Categorical and Numerical Data.

Working or implementation of that solution provided by Elixir? Or How does the elixir deliver the solution?

elixirdata-small-tick

Profile: When data is in the system, ElixirData provides a better view of all the structures, relations, and components of data.

elixirdata-small-tick

Organize: ElixirData lets the user organize the data based on classifications, tags for easy future reference, or object mapping.

elixirdata-small-tick

Govern: Once Data is organized, ElixirData automatically suggests some Policies and Rules on data and users can define the rules as per organization requirements as well.

elixirdata-small-tick

Transform: Data Lineage processes bundling brings the ease to see how the Quality data is transformed across the system and how it can be managed in the future.

elixirdata-solution

What are the values added by Solution?

elixirdata-cost-saving

Relying less on manual efforts and human interventions helps in cost-saving which can bring more openness to new techniques.

Relying less on manual efforts and human interventions helps in cost-saving which can bring more openness to new techniques.

elixirdata-enhanced-business-intelligence

Enhanced business intelligence when shapes the augments of Data Quality, it brings a common understanding of the data across the organization.

Enhanced business intelligence when shapes the augments of Data Quality, it brings a common understanding of the data across the organization.

elixirdata-data-quality-metrics

Automated Data Quality Metrics prevent unintended data pass through the Quality Layer and give more reliability to monitoring.

Automated Data Quality Metrics prevent unintended data pass through the Quality Layer and give more reliability to monitoring.

elixirdata-observability-and-monitoring

Observability and Monitoring help add Business value to Data Quality as more robust automated rules can be applied to Data.

Observability and Monitoring help add Business value to Data Quality as more robust automated rules can be applied to Data.

Request Demo

captcha text
Refresh Icon

thank-you-image

Thank you for submitting the form.