Datalance™
Accelerate your path to better data outcomes.
A solution accelerator for secure, automated, intelligent, and transparent data platforms.
Datalance™ is the cumulation of mission-critical data projects across highly regulated federal and commercial organizations, where we saw consistent challenges to data consolidation and application of the right AI and ML tooling. We built Datalance™ to bring agile principles and an ‘everything as code’ mindset to data. Purpose-driven or fit-for-purpose data modeling allows us to help our clients deliver consistent, incremental value to meet their most critical mission and business goals.
PRESS RELEASE
AIS Debuts Datalance™ Solution Accelerator
Learn more about AIS (Applied Information Sciences), a leading enterprise solution provider for transformative cloud and data solutions, and the announcement of their new solution accelerator offering, Datalance™.
DEMO
Datalance™ Overview
Datalance™ is our holistic method for optimizing enterprise outcomes through data. Our entire process is continuous, with several project teams or business units progressing these workstreams simultaneously.
This overview covers the key tenets of the solution, including:
- Securityand governance ensure that only the right people have access to the right data at every process stage. The data system is configured to meet your organizational and regulatory compliance requirements. We track assets, business glossaries, and sensitive data across the platform to ensure data is valuable, trustworthy, and secure.
- Automationis key to our approach. We useIaC, Data as Code, and other approaches to automation – everything is code first.
- Transparencymeans creating a data lineage to determine how data was transformed. We know where the data is coming from, and what we have done, and teams can always go back to understand the data path. This is a look back on the data.
- WeMonitorevery activity from collection, transformation, and delivery through observation and alerting. This of this is real-time transparency.
FRAMEWORK
Backlog & IP in Action
Teams are backed by a backlog and resources for every step in the data platform modernization process.
- Assess– Clarify the vision and define a strategic modernization plan, using business objectives as the north star. This phase defines and documents the cloud destination with connectivity, subscription design, security, and governance.
- Ingest– Set up services for ETL and establish a connection with data sources to expedite data extraction and migration from legacy systems.This includes some initialde-duplication, validation, conditioning, etc.
- Storage– We design a storage solution for large-scale, cloud-based data, both structured and unstructured, to fit your needs and requirements for how you want to consume the data.
- Modeling– Defining final output for reporting, dashboards, and documentation to prepare data for transformation through additional standardization, sorting, deduplication, validation, and verification to model data for a specific business need.
- Analytics– We improve data access and usability through visualization by working with SMEs within a business area to define queries and leverage/build applications to make data more accessible to the right end-users.
- Intelligence– Tap into artificial intelligence (AI) and machine learning (ML) to drive faster, more intelligent insights on your data for a competitive edge.
