Management teams and boards face unprecedented complexity and speed of change in today’s business environment. Challenges include changing customer expectations, rapid AI / technological advancements, increased competition, geopolitical uncertainty, and more. Companies must be agile, forward-thinking, and ready to adapt to an ever-changing landscape.
Enterprise Intelligence is a decision support system for management teams and boards which provides a holistic view of the enterprise across functions and business units, together with analytics powered by business intelligence and a large language model.
Having the right information is critical to effective risk management. Enterprise Intelligence empowers management with an integrated view of risks across the enterprise. Bank specific risks include credit risk, market risk, and liquidity risk. Operational risks apply to all industries and include IT risk, cybersecurity and privacy risk, regulatory risk, business process risk, supplier and outsourcing risk, facilities risk, and project risk.
Strategy is critical to enterprise success. Elements include financial targets, products and services, sales channels, human resources, information technology, transformation, M&A. Having a holistic view of the enterprise to analyze these factors is immensely helpful. For many companies, collecting this fact base is a one- time, annual exercise. Our view is that this data should be integrated once and continuously refreshed to enable strategic agility.
Achieving operational excellence is central to the success of every enterprise. Monitoring operational performance is therefore critical. Enterprise Intelligence provides a cross-functional view of operational performance to help management quickly understand where issues need to be addressed.
Leaders and teams solve problems every day. Many of these problems are complex and require an integrated fact base to solve. Enterprise Intelligence makes individual contributors and teams more effective as it results in faster learning, more effective problem solving, and collaboration.
The use of standard patterns across the data and analytics stack results in one app with an intuitive user experience along with an ecosystem of applications which work together.
Building analytics solutions for management teams using current methods and tools is costly and time consuming. Resources with the right talent and skills are often in short supply including: functional leaders, business analysts, solution developers, and data architects. Enterprise Intelligence streamlines this process and reduces the need for high-skill resources by providing a detailed blueprint for analytics solutions and data models. The result: high quality solutions can be implemented in days / weeks versus months.
Integrated System and Methodology to Rapidly Build Analytics Solutions for Management
Solutions codify expertise. Rather than building solutions from scratch, your team starts with an 80% solution to a given problem. Solutions can be extended to meet the specific needs of your enterprise.
The Data Mesh is used to organize and connect your data to make sense of it. It helps your teams “wire up” the data needed to manage your company. It is a logical, physical, and extensible data model. Each solution is delivered with a data model, sample data sets, and Excel data loading templates. Solutions can be activated simply by replacing the sample data.
The Data Mesh creates a common languages enabling effective collaboration between domain experts and data teams. The language consists of only three types of tables:
Standard relationships between tables are also defined. Standardization enables automation and seamless integration with a Large Language Model. Automation results in greater speed, efficiency and quality.
The Rapid Implementation Method enables teams to implement solutions in days/weeks. It streamlines three of the most time-consuming and costly steps in building analytics solutions: requirements, data modeling, and development. Select a solution, load your data in the specified data templates and start using the system. Specificity results in greater speed and data quality.
Enterprises are drowing in data. Enteprise intelligence helps teams rapidly focus on the data that matters to run your business. The data mesh specifies the tables and columns that are needed to deliver each solution. While your data lake may have billions of rows of data, our experience is that a much smaller data set can be used to build a holistic and useful view of an enterprise. The guiding principle is to help each organization quickly focus on their high value data then organize it to make it useful.
Cross functional and cross-busines unit analytics are very useful to management teams and boards. Use cases include risk management, operational efficiency, transformation, and shared services. For example, what is the total supplier spend or cost of information technology across the enterprise and are there opportunities to improve productivity in these areas?
Cross-functional collaboration is critical to achieving great customer experience, effective risk management, operational excellence and efficiency. Enterprise intelligence gives you an integrated view of your company across functions to support teams in problem solving.
Visibility across business units provides insights on relative performance, duplication, productivity opportunities, potential risks and more. Use cases include M&A, transformation, cost reduction, and risk management.
The high value data to lead an enterprise is rarely in a single data repository (data lake, data warehouse). Therefore, Enterprise Intellgence provides methods and tools to quickly ingest and integrate data from multiple sources. The guiding principle is to use high value data no matter where it resides.
Drag & drop speadsheets, documents, photos, images, and videos
Connect to data sources such as data lakes, databases, and APIs
Enterprise Intelligence is implemented in a high performance, cloud-native platform which may be instantiated in hyperscalers such as GCP, Azure and AWS.
A library of analytics solutions codifying management expertise
A data model for each solution and a simple language to build data models
Data loading, data wrangling, analytics, visualization, and data storytelling
High performance database and analytics engine for lightning fast response time
Enterprise Intelligence utilizes defined patterns at each layer of the data and analytics stack to create a cohesive analytics application ecosystem. Applications may be added while preserving a unified user experience. This enables a holistic view of an enterprise in a single application.
Pre-built solutions help your team achieve faster time to value. Simply select a use case, load your data in the specified tables then use the system.
To enhance risk management, productivity, operational excellence, and corporate governance.
Visibility and transparency across functions and business units.
Your high value data is organized and connected to make it useful.
A digital assistant combining lightning fast analytics with a large language model.
EI extends your data and analytics stack with:
EI streamlines 3 of the most time-consuming and costly steps in building analytics solutions:
EI goes beyond business intelligence with:
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