Business intelligence and data visualization continue to be powerful ways to turn raw data into meaningful insights. Most critically, these insights allow your team to take profitable actions. BI is still an important part of an organization’s ability to manage performance. A modern BI platform should allow users to view historical results, understand drivers behind those results, and make recommendations to improve outcomes in the future.
Design beautiful interactive graphs and dashboards to highlight trends and identify patterns in data.
Model business logic in a semantic layer, joining data together, applying rules and performing calculations while optimizing the data for performance and usability.
Develop a plan to raise data literacy, deploy and support data solutions across the business, including cloud architecture, data integration, warehousing, BI and data science.
Plan and perform migrations from legacy BI tools to modern platforms, including models, security, reports and dashboards.
Embed powerful visualizations and metrics in corporate apps and websites, enriching both internal user experiences and adding new value to external data products and services.
Design portals and interfaces for non-technical users, allowing them to search, explore, share and use governed data assets without requiring IT support.
Identify tactics that drive your team toward its sales goals, pivot quickly to adapt and grow your sales pipeline.
Better define and target your demographics, understand purchasing and interaction patterns.
Analyze on-time data, identify and resolve potential issues, Iterate and improve operations.
Modern data needs a strong architecture and design to support massive amounts of data and computing power. Newcomp architects know how to start small, and build for the future – from basic data acquisition to the most advanced interactive reports and dynamic dashboards.
These creators have a rare blend of creative and technical skill, refined to develop meaningful experiences for each of your user personas, whether they are line-of-business managers or C-suite executives.
These teams feel the pain of limited insight or access to data. As our champions, they define the target, and help us validate results along the way.
These groups have many names – Centres of Excellence, data provisioning, data warehousing, etc. We need to ensure that data flows from source to user unhindered, but ensure quality, completeness and accuracy to drive precise decision-making.
Deploy machine learning, AI and statistical models and applications
Build structures and processes to collect, manage, and assure the quality of data assets
Design & develop models, templates & processes for financial & operational planning
Design and build elastic infrastructure to accelerate analytical applications