A direct correlation exists between superior performance and becoming a data-driven enterprise. However, data teams are often under-resourced, and siloed organizational structures make it challenging to analyze the trove of data they have at their disposal. Fortunately, organizations can overcome these challenges with advances in IoT, advanced analytics, and the Cloud. They can treat data as an asset, categorize it according to its lineage, quality, and completeness, and analyze it for actionable insights.
Our Service Offerings
We adopt a cloud-first and AI-driven approach to drive non disruptive improvements to an organization’s existing data infrastructure. We modernize data access and reduce time to insight significantly, helping them break free from legacy constraints, decipher patterns, relationships and trends from internal data and attain greater agility. They can respond to real-time requirements of a fast-evolving business environment and gain a competitive edge as we facilitate:
Data Governance
Data Migration
Data Operations
Data Enablement
Our Data Engineering solutions include enterprise data warehousing, data lakes, stream analytics and IoT. These enable companies to orchestrate and automate complex data pipelines, store data effectively, and leverage a reliable data flow. We ensure a data infrastructure that is suitable for analysis, helping organizations to optimize the data, turn it into business knowledge, and make better decisions. We help with:
Data Architecture & Design
Master Data Management
Data Integration & Security
We adopt agile techniques to graphically represent information for more efficient communication and understanding. It enables organizations to view analytics visually, which in turn helps them demystify abstract concepts and identify new patterns. They benefit in manifold ways as we promote creative data exploration and help them utilize:
BI Consolidation
Self-service Analytics
Industry-specific Analytics/ Vertical-based Analytics
Standard Dashboarding
Our data science solutions enable clients to build automated machine learning capabilities that rapidly examine data and recommend the most effective algorithms. We also help them accelerate model development and implement large-scale systems that process vast amounts of data, learn cognitive tasks, and generate near-instant insights. Organizations can then use these actionable insights to predict demand, improve customer satisfaction, and build effective business strategies. They can realize the full value of data as they leverage:
Supervised Learning
Unsupervised Learning
AI/ML Engineering Ops
Predictive Intelligence
iDSP
DataOps helps you coax order and discipline out of the chaos and solve the significant challenge of turning data into business value. Organizations can easily overcome the hurdles and complexities involved in delivering analytics with speed and agility as they turn to our offerings which include:
Virtualized Datasets
Custom Workspaces
Integrated Data Pipelines
CI/CD, DevOps
Data Modernization
We adopt a cloud-first and AI-driven approach to drive non disruptive improvements to an organization’s existing data infrastructure. We modernize data access and reduce time to insight significantly, helping them break free from legacy constraints, decipher patterns, relationships and trends from internal data and attain greater agility. They can respond to real-time requirements of a fast-evolving business environment and gain a competitive edge as we facilitate:
Data Governance
Data Migration
Data Operations
Data Enablement
Data Engineering
Our data engineering solutions include enterprise data warehousing, data lakes, stream analytics and IoT. These enable companies to orchestrate and automate complex data pipelines, store data effectively, and leverage a reliable data flow. We ensure a data infrastructure that is suitable for analysis, helping organizations to optimize the data, turn it into business knowledge, and make better decisions. We help with:
Data Architecture & Design
Master Data Management
Data Integration & Security
Data Visualization
We adopt agile techniques to graphically represent information for more efficient communication and understanding. It enables organizations to view analytics visually, which in turn helps them demystify abstract concepts and identify new patterns. They benefit in manifold ways as we promote creative data exploration and help them utilize:
BI Consolidation
Self-service Analytics
Industry-specific Analytics/ Vertical-based Analytics
Standard Dashboarding
Data Science
Our data science solutions enable clients to build automated machine learning capabilities that rapidly examine data and recommend the most effective algorithms. We also help them accelerate model development and implement large-scale systems that process vast amounts of data, learn cognitive tasks, and generate near-instant insights. Organizations can then use these actionable insights to predict demand, improve customer satisfaction, and build effective business strategies. They can realize the full value of data as they leverage:
Supervised Learning
Unsupervised Learning
AI/ML Engineering Ops
Predictive Intelligence
iDSP
DataOps
DataOps helps you coax order and discipline out of the chaos and solve the significant challenge of turning data into business value. Organizations can easily overcome the hurdles and complexities involved in delivering analytics with speed and agility as they turn to our offerings which include:
Virtualized Datasets
Custom Workspaces
Integrated Data Pipelines
CI/CD, DevOps
Our Solutions
Data Sciences
Harness intelligence and innovation with our Intelligent Data Science Platform (iDSp)
Our Partners
How You Benefit
Tap into high-value opportunities
Make data-driven decisions with a single source of truth
Leverage the access to democratized analytics
Improve existing capabilities while adding new ones
Use near-instant insights to guide future strategies
Meet Our Leaders
John Gilboy
Sr. Data Leader
Rodney Boswell
Sr. Data Leader
Get in touch with us for feasibility studies, joint workshops, pilots and ideation sessions.
Case Studies
Research and Whitepapers
White Paper
DataOps
White Paper
How Data Science Helps Providers in Improving Healthcare Outcomes
Blogs & Insights
Data-driven Healthcare
Welcome to the New Normal. These are the latest words entering the vocabularies of Americans as we enter the new phase post-pandemic.
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