We help clients build high-performing organizations powered by smart data and advanced analytics platforms.
- Cloud Data Platforms
- Real-time Data Processing
- Data Integration and Engineering
- Data and Analytics Strategy
- Data Architecture
- BI Reporting and Dashboards
- Data Governance
- Data Platform Managed Services
What companies do with data depends on the tools they use. The need to organize and process data to build smarter organizations is unquestionable and cloud platforms make it possible for non-technical users to consume critical information. Our data architects help clients choose the right data platforms and build data pipelines that will make the most impact for their business operations and innovation roadmaps.
Better customer experiences are a result of being able to access the right information at the right time. Organizations unable to access the right data for days struggle to launch competing services on time. We help companies build real-time data pipelines and data platforms that enable organizations to report and use data the moment it's created.
Building a smart business without immediate access to data is impossible. Data is being stored all over the organization without a clear approach to centralizing how it's stored and processed. Our data engineering team architects and develops data pipelines that integrate with many data sources so that organizations can visualize and process the information meaningfully.
With more data than ever, organizations look to uncover new opportunities but don't always know how to leverage IT. We help companies establish a high performing data and analytics strategy to make sense of the information they already have.
Through a data assessment, solution development, and data architecture programs, we help companies organize and access the right data securely and efficiently.
Having a single source of truth that's accessible by the right users, enable organizations to make confident decisions using their BI reporting tools and custom dashboards. We partner with organizations who are looking to transform how business decisions are made across the organization using Enterprise BI and Visual Analytics solutions.
The truth in data matters and for many organizations, compliance with regulations is an absolute must. We help companies develop and implement lean data governance models that allow them to comply with regulations while focusing on the integrity, accessibility and security of their data.
Keeping track of data is a lot of work, and any missteps can lead to business or security failures. We help organizations create a data center of excellence, and monitor and govern your data holistically. This includes compliance and threat monitoring, management, improvements and administration.
The Answer is Analytics
Data architecture is important because it enables advanced analytics, data discovery, and data democratization for companies that rely on analytics to improve customer experience and cut costs. Our Business Intelligence advisors share their experience around enterprise data management, data governance, and enabling high-performance analytics.
As the largest nonprofit provider of palliative and supportive care in Illinois, JourneyCare was looking to introduce new reporting tools and analytics dashboards that would inform better patient care decisions and improve revenue cycle operations.
IT decision-makers and C-suite executives get all fired up about BI tools and are onboard about implementation but have no game plan on how to make it all happen. The following 10 steps are my field-tested recommendations on what to include in order to ensure a successful roll-out of your BI tool strategy.
The 3 Reasons Why Most Data Analytics Projects Fail — and a New Strategy to Make Sure it Doesn’t Happen Again
A majority of enterprise analytics projects fail. Not just fail, but fail before they even start. Why does this happen? We became really intrigued and wanted to find out the answer, so we got our team together to conduct a study by interviewing 20 senior IT executives in the Chicago area regarding their biggest challenges with analytics projects.