Enterprise Analytics

How to Calculate Financial and Technical Analytics with No-code Algorithms

 

Strong data analysis is now an essential part of executive reporting. It is also central to the value that architects and digital strategy managers offer the business.

The most effective enterprise architecture metrics are tailored precisely to your business and technology environment. Calculations also need to be transparent and easy to adjust. Metrics which are transparent are more trustworthy and much more practical.

“Corporate leaders must expand their analytical range from monitoring and control (operational analytics) to forecasting and planning (strategic analytics)”

– MIT Sloan Management Review

ABACUS Dashboards for Financial and Risk Management
What Metrics Matter To Your Business?

Each enterprise needs to decide on a set of numbers which guide decision making, specific to its datasets, its goals, projects, requirements and risks.

Use algorithms to set up the calculations you need to track the health of these projects and roadmaps in real-time.

  • Financial analytics (Cost, TCO, ROI, NPV etc.). These can be used to weigh up migration options and recommendations, Aggregate budgets and project financials and Automate your cost attribution calculations.
  • Risk, Security and Maturity metrics etc. to identify risks and threats and map out scenarios and strategies to avoid them
  • Monitoring technical metrics with analytics for Performance, Reliability, Complexity, Openness, Modularity, Cloud Readiness, Resource Utilization, Response Times, Availability

You can also set up algorithms which allow you to keep an eye on trends in key business and IT metrics.

Build Your Own Algorithm

For architects and business leaders who need to set up quantitative analytics to build an understanding of their chosen enterprise metrics, algorithms can be used to do the heavy lifting of both business and technical analysis.

ABACUS no-code Visual Algorithm Composer provides a block-based workflow which EAs can use to assemble calculations from across their data and architectures and to tailor their analytics as they map out scenario options.

ABACUS Visual Algorithm Composer Graphic Representation Demonstrating the ease of drag-and-drop algorithms
ABACUS Visual Algorithm Composer

Using simple no-code algorithms, users can pull together an algorithm workflow in a matter of minutes.

ABACUS Visual Algorithm Composer

Just like other block-based coding platforms, the first step in setting up an algorithm involves using a set of building blocks to describe a calculation.

Start with something simple, such as a “sum” algorithm which adds the values in two columns and presents the results of the calculation in a third.

More complex algorithms may involve other operations including:

  • Add, Subtract, Multiply, Divide
  • Min, Max, Average, Count
  • Power, Log, Atan

Users can set properties on each “block” in the Algorithm Composer.

Select operations to:

  • Aggregate multiple data qualities
  • Vary data processing order
  • Attribute values across various data types
  • Measure impacts on projects based on dependency limitations

As well as creating from scratch, users can also adjust, import and modify pre-built algorithms in ABACUS and export these to XML to run across multiple other projects.

Who Can Build & Edit Algorithms?

 

Everyone. A big advantage of using a no-code platform for setting up analytics is that users from across the business can get involved and learn to set up algorithm workflows themselves.

No experience of coding is required, just an understanding of what information the department or managers need. Users may include:

Enterprise Architects
Solution Architects and other Architecture team members
IT Financial Analysts
Business Strategy Managers
Data Scientists
Department heads
and Data Owners
“The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science.”

– (Gartner “Top 10 Data and Analytics Technology Trends”)

Graph Analytics: Real-Time Reporting

Having a graph database behind the scenes provides real advantages. Users enjoy faster processing times and are ideal for capturing complex information and relationships.

Users can also set up graph algorithms. Graph databases give organizations greater ability to move analysis and reporting into a real-time or near-real-time mode.

The ABACUS toolset has used graph database technology for over 15 years, and it’s a key enabler of algorithm-based analytics.

Discover ABACUS

 

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