There is a better way to lead.

Enterprise Intelligence

Context

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.

The Data Dilemma: Big on Data, Low on Insights

Despite advances in AI, management teams and boards lack visibility, transparency and insights to lead in this new environment.  Many enterprises manage with spreadsheets and antiquated analytics solutions. This presents a significant challenge on multiple fronts: risk management, productivity, operational excellence, competitiveness, and corporate governance.

Building an Information Advantage

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.

Business Value

Improved Risk Management

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.

Strategic Insights

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.

Operational Insights

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.

Organizational Effectiveness

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.

Faster Time to Value

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.

Making the Complex Simple

Managing an enterprise is complex.  Static reports and fragmented BI applications make it more difficult.  Enterprise Intelligence simplifies your access to information and analytics with one app delivering an intuitive user experience together with a cohesive application ecosystem.

Private Equity Example

Private Equity leaders oversee a portfolio of companies spanning various industries, with the goal of enhancing financial performance and driving business value. This involves a continuous cycle of acquisitions and divestitures. Each company generates its own set of reports and analytics, which makes it challenging for PE leaders to obtain a unified view of financial and operational performance across the portfolio and at the individual company level. PE teams typically manage with Excel and disparate BI solutions.

Typical PE Approach
Teams manage with disparate spreadsheets and BI solutions

Choral's Approach
Teams manage with pre-built analytics solutions which are implemented in days/weeks

Sample Analytics Solutions

How it Works

Integrated System and Methodology to Rapidly Build Analytics Solutions for Management

  1. Pre-built analytics solutions codifying business expertise
  2. Data model and templates for each solution. Data modeling language.
  3. Implement solutions in days / weeks with a rapid implementation method
  4. Quickly focus on your high value data
  5. Integrate your data across functions and business units
  6. Use data from any source
  7. High performance, cloud-native analytics platform with LLM integration
  8. Standards enable a cohesive application ecosystem

1. Analytics Solutions

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.

Cross-Industry Solutions

Industry-Aligned Solutions

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 3 data table types:

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.

All Domains are Built Using Standard Data Tables

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.

Time and Cost

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.

Enterprise Data

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? 

Across Business Functions

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.

Across Business Units

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.

Files

Drag & drop speadsheets, documents, photos, images, and videos

Data Adapters

Connect to data sources such as data lakes, databases, and APIs

Enterprise Intelligence is built in a high performance, cloud-native platform which is instantiated in hyperscalers such as Azure, GCP, and AWS.

Choral May be Used Standalone or to Extend your Analytics Stack

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. Standardized data models enable:

  1. The use of AI for data preparation
  2. Standardized data loading
  3. Automated data model assembly
  4. Standardized analytics methods
  5. Seamless integration with Large Language Models
  6. The creation of a cohesive, extensible analytics application ecosystem

Select from a Wide Range of Pre-Built Use Cases

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.

Empower Your Management Team and Board with Enterprise Intelligence

To enhance risk management, productivity, operational excellence, and corporate governance.

Enterprise Intelligence Transforms How Management Teams and Boards Work

Holistic View of Your Enterprise

Visibility and transparency across functions and business units.

Instant Insights

Your high value data is organized and connected to make it useful.

BI and AI

A digital assistant combining lightning fast analytics with a large language model.

Enabling Data-Driven Management

Featured Resources

Documentation
Managing Complexity in Private Equity with Integrated Data and Analytics
In the high-stakes world of private equity, where every decision can mean millions in retu...
Documentation
Unlocking Banking Success: How Integrated Analytics Drive Cost Efficiency
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Building Your Intelligent Enterprise: Navigating the AI Maze
Picture this: You’re standing at the entrance of a complex maze. The path to the cen...