THE MOST POWERFUL SET OF TOOLS FOR DISCOVERY, MONITORING, AND AUTOMATION

Business process optimization initiatives.

THE MOST POWERFUL SET OF TOOLS FOR DISCOVERY, MONITORING, AND AUTOMATION

Business process optimization initiatives.

Practia is IBM’s Silver Partner. This allows customers to locally obtain licenses, installation, support, training, methodology, and assistance as part of implementation and adoption services.

Process Mining

Currently, a company’s business is mostly based on processes that themselves are supported by a variety of computer systems.

Managing the complexity of these processes and associated systems severely restricts an organization’s ability to adapt and respond to growing competitiveness challenges. This hinders the identification and monitoring of opportunities for efficiency, transparency, auditing, compliance, cost reduction, mergers, and other factors.

Process Mining offers a solution to this challenge.

Many companies are already working to improve their efficiency

Efforts involve deploying new technology, training employees, or implementing lighter and more robust processes. However, the results are unpredictable, as these actions are defined based on:

ASSUMPTIONS

concerning current business conditions, ascertained by means of internal consultations involving industry-standard frameworks and/or technologies often developed for other cultures or realities.

AMBIGUITY

of information, since data commonly reside on platforms or in systems for which process documentation is out of date and/or relevant knowledge is held by individual employees.

EXPECTATIONS

of change in current business performance can only be measured and quantified once the investment has been generated and action taken.

Process Mining: the evolution of efficiency

Digitization uses the data generated by systems to reflect the reality of the business and achieve better results through application of change to a digitized view of processes. This digital replication of reality is known as the Digital Twin.

The introduction of technology yields greater speed and capacity in the form of systems that support operational processes.

The process view proposes the application of statistical techniques (Lean/Six Sigma), best practices (KANBAN), or a combination of these in order to improve business performance (optimization and transformation).

Process Mining, the evolution of efficiency

Digitization uses the data generated by systems to reflect the reality of the business and achieve better results through application of change to a digitized view of processes. This digital replication of reality is known as the Digital Twin.

The introduction of technology yields greater speed and capacity in the form of systems that support operational processes.

The process view proposes the application of statistical techniques (Lean/Six Sigma), best practices (KANBAN), or a combination of these in order to improve business performance (optimization and transformation).

Companies that survive have done so by generating their Digital Twin

DEFINED THEORETICAL PROCESS

REAL DIGITAL TWIN PROCESS

The gap between your business’ operational reality and its performance is considerable. The technology available to help reduce this gap today is called Process Mining. This technique and methodology allows the creation of a Digital Twin of your business processes in order to confront the digital era with less ambiguity, fewer assumptions, and better expectations.

Digital Twin is considered the key enabler of digital transformation, allowing continuous evaluation of business processes, rapid and economical prototype generation, and extreme innovation without affecting operations.

Process Mining allows the generation of a business process Digital Twin based on the records logged by the systems that support these processes. Processes are reconstituted from these registers—or “system logs”—and presented As-Is.

Extraction, quality assurance, and storage of data from logs and semantic information obtained from the computer systems that embody the organization’s processes.

The digitized processes can then be subjected to modification, trimming, automation, and all kinds of simulations without the need for changes or additional costs when verifying the results.

Digital Twin is considered the key enabler of digital transformation, allowing continuous evaluation of business processes, rapid and economical prototype generation, and extreme innovation without affecting operations.

Process Mining allows the generation of a business process Digital Twin based on the records logged by the systems that support these processes. Processes are reconstituted from these registers—or “system logs”—and presented As-Is.

Extraction, quality assurance, and storage of data from logs and semantic information obtained from the computer systems that embody the organization’s processes.

The digitized processes can then be subjected to modification, trimming, automation, and all kinds of simulations without the need for changes or additional costs when verifying the results.

Visualize and improve your business processes whatever the platform, system, or application that supports them.

Simplify management of your processes in all their complexity.

From any Digital System

Visualize and improve your business processes whatever the platform, system, or application that supports them.

Simplify management of your processes in all their complexity.

From any Digital System

Business processes

%

cost saving in back office processes

%

reduction in process durations

IBM Process Mining allows the identification of focus areas for improvement and innovation within the account closing process.

IBM Process Mining identifies activities suitable for automation, allowing simulation of the initial benefits (ROI) that could be achieved through an RPA implementation.

IBM Process Mining is able to simulate and validate potential cost savings, reduce load, and improve delivery time.

%

cost saving in back office processes

%

reduction in process durations

Process Mining de IBM, permitió identificar las áreas foco para mejora e innovación en el proceso de cierre de cuenta.

IBM Process Mining identifies activities suitable for automation, allowing simulation of the initial benefits (ROI) that could be achieved through an RPA implementation.

IBM Process Mining is able to simulate and validate potential cost savings, reduce load, and improve delivery time.

PROCESS MINING. How we can help.

Business objectives

Increased profitability

Customer satisfaction

Process optimization and transformation

Areas of activity

Areas of activity

1. Operational excellence

  • Operational excellence is key to business efficiency.
  • Practia’s Process Mining services facilitate identification of inefficiencies and determination of the best efficiency initiatives.
  • Analyze different locations, geographies, etc. to make process and organizational decisions.

2. Increased quality of service

  • A lack of process homogeneity affects service quality.
  • Practia’s services allow quantification of the real performance of each process in order to improve it.
  • Rapid adaptation of customer-focused processes is the key.

3. Improved products and services

  • From ordering to payment, Practia’s services allow you to analyze the complete flow of sales, delivery, and collection by service and by product, providing comprehensive profitability analysis by product and service.

4. Differentiation and competitiveness

  • Customers demand services and schedules that meet their expectations.
  • Process Mining helps to identify the real “customer journey” and thus implement measures to differentiate, increase loyalty, and ensure competitiveness.
  • It also provides a complete profitability analysis per customer.

5. Mergers and acquisitions

  • Ensuring a rapid and successful merger requires an in-depth understanding of the entities’ processes.
  • Process Mining provides detailed modeling of processes and people to support decision-making.

6. Efficiency in supplier purchasing management

  • Process Mining facilitates identification and monitoring of the entire purchasing process, allowing comprehensive analysis of the behavior of categories and suppliers. Perform simulations and predictions that save our customers hundreds of thousands of dollars.

Digital transformation

Digital transformation

  • Practia’s Process Mining services reveal the flow of business value to our customers and allow identification of the most suitable initiatives for digitization.

Hyperautomation

  • Process automation is key to operational efficiency and the backbone of digital transformation.
  • Process Mining allows you to identify the best automation opportunities and simulate ROI before implementation.

multiple process analyses

%

cost reduction

%

process transparency

multiple process analyses

%

cost reduction

%

process transparency

Simple visualization of complex processes

Organizational processes often contain highly complex relational entities. Traditional process consulting techniques cannot handle the divergence of related data or the convergence issues that characterize these complex business processes.

IBM Process Mining provides end-to-end visibility of complex multi-tier processes, providing you with next-generation insights.

The ability to process everything in the cloud allows unlimited scaling of information.

Decision rules mining

Using decision rules mining, IBM Process Mining automatically discovers correlations within the available business process data in order to identify the decision rules that determine why the process follows a certain path.

IBM Process Mining provides information regarding the accuracy and reliability of the discovered decision rules, allowing you to pursue an iterative approach to increase the accuracy of your Digital Twin.

Simulation

IBM Process Mining performs analysis of the As-Is derived model in order to set up a simulation of your process.

Running a simulation with IBM takes no time at all: simply update the automatically derived information in the As-Is process to reflect the desired changes.

Once a simulation is set up, IBM operates as a time machine, generating new instances of the To-Be process from historical process data, enabling discovery and analysis of To-Be process behavior and providing reliable ROI estimates.

Process view for decision making

  1. COST
  2. TIME
  3. VOLUME
  4. BOTTLENECKS
  5. KPI
  6. REWORK
  7. AUTOMATION
  8. CRITICAL ROUTES
  9. DEVIATIONS
  10. USER RELATIONSHIPS (ORGANIZATION)
  11. USER GROUPS (ORGANIZATION)
  12. AND MORE…

Process analysis Cost and Timings

Identify rework costs and costs related to those activities that take the most time. Define process adjustments to avoid rework and shorten timings.

Simulation Cost and Timings

Digital application of process adjustments is straightforward using the tool, and simulations are conducted to digitally test efficiency hypotheses prior to implementation of process changes.

Analysis and hypothesis testing allow the refinement of improvements prior to application.

Additionally, these tests serve to advise key stakeholders of the differences and gains associated with changes, improving organizational change management.

Organization Analysis 

IBM permits analysis of the process from the point of view of the organization and of people.

This facilitates analysis of teams that carry out similar activities, connections, productivity, relationships, interactions, and more.

Additionally, criteria can be established for the definition of “span and layer” initiatives according to growth or cost reduction requirements.

Automation Analysis

IBM Process Mining selects those activities most suitable for automation.

Automation analysis and hypothesis tests can also be conducted, allowing validation of the corresponding ROI.

Continuous monitoring:    Assurance

Following implementation of the improvements, the innovative characteristics of Process Mining allow continuous monitoring of each process.

This provides evidence that the efficiencies are taking effect.

Additionally, monitoring helps to identify compliance violations and inefficiencies, and to facilitate tracking of all reference KPIs.

Finally, monitoring makes it possible to define new efficiency objectives and thus extend the continuous improvement cycle.

How we can help you

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