Model, analyze, explore, share, and surface actionable business decisions.
It's critical to apply the right BI tool to the problem at hand. Our team of BI professionals can help distil and curate project candidates for best possible outcomes and highest returns on investment. We have seen these 3 areas commonly in the analytics practices and consultative engagements.
Low-code and no-code automation workflows augment data storytelling capabilities and help expand analytics beyond simply data visualization; creating dashboards filled with enriched contextualized insight.
Interaction methods like Natural language query (NLQ) and natural language generation (NLG) increases data democratization throughout an organization, allowing data to reach all important decisions-makers.
Large companies understand that building, deploying, and managing data visualization applications in the cloud increases the types and volumes of data available to visualize. Cloud analytics allows a level of analytics complexity unavailable in standard BI onsite systems.
Bad data costs the US economy $3.1 trillion each year.
Companies worldwide use data /visual data to boost process and cost efficiency
Businesses using business intelligence are 5x more likely to reach decisions faster than those that do not.
Business executives report that business adoption of Big Data / AI initiatives is a major challenge
As organizations scale, their analytics solutions become quickly obsolete. Enterprise level analytics models and platforms require some refactoring and replatforming to fully and comprehensively address the needs of larger organizations.
Business intelligence tools allow users to connect to and ingest data from multiple types of storage platforms. Data visualization software like Qlik, Tableau, and Spotfire allow drag-and-drop functionality that enables users to define their measures, sets, groups, and hierarchies.
Conversational business intelligence allows companies to build customizable chatbots that are linguistically rich and provide data in a conversational and interactable way. Natural language query (NLQ) and natural language generation (NLG) help democratize data so decision-makers can access data when and where they want it.
Today’s business intelligence tools give users the ability to build, deploy, and manage analytics and analytic applications across multi-cloud deployments. On-prem data analysis no long needs to be a prerequisite for success. Flexible and serverless cloud architecture lets organizations scale BI deployments across an organization as needed.
Data visualization options go beyond simple pie, bar, and line charts. Heat and tree maps, geographic maps, scatter plots, sunburst, Sankey, and other special-purpose visuals are easily added to dashboards to create pixel-perfect, parameterized, and paginated reports, which can be automated and sent on schedules to a large user community.
The global business intelligence market was worth $24.05 billion in 2021 and is expected to reach $43.03 billion by 2028.
2019 Yellow Brick
– Chad Collins, Senior Consultant, Product Perfect
“Using data analytics... to support your arguments and your recommendations, you’re going to be influential.”
Jan Hammond Harvard Business School Professor
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.