Roles

Data Analyst

Process Optimization: Data Analysts

Process mining and automation is the key to unlocking operational excellence. Data analysts play a crucial role in analyzing and interpreting data to extract valuable insights and inform decision-making within an organization.

You work with large datasets, apply statistical and analytical techniques, and use various tools to uncover patterns, trends, and relationships in the data.

Process mining complements the work of data analysts by providing a specialized approach to understanding business processes.

Platforms like Perceptif are cost-effective solutions to extracting data from event logs or digital footprints in an organization's processes. This data contains valuable information about the sequence of activities, timestamps, users involved, and other relevant attributes. Perceptif pioneers an approach to unleash business excellence through Process Intelligence Automation.

This powerful tool opens doors to improve your operational performance, ensuring competitive advantage.

Solution Snapshot
with Process Mining

Unlock operational excellence with process mining & automation. Businesses unprepared to take the next step in digital transformation will quickly get left behind in challenging times.

1. Monitor Performance

Data analysts should be able to track and monitor process performance in real-time.

You want an efficient tool to identify key performance indicators (KPIs) and track them over time to assess process efficiency and effectiveness. This continuous monitoring helps identify deviations from expected performance and enables proactive decision-making. Perceptif mines real data from the many points in your system to reveal analytics that show what's actually happening in processes, rather than a perceived flow. 

These crucial insights into the inefficiencies by quantifying their actual impact enables decision-makers to tweak processes accordingly and work towards improvement.

Monitor how recovery action affects your data, and soon you'll be on the road to a fully-optimized organization.

2. Root Cause Analysis

How can problems be effectively solved?

By addressing the root cause and taking recovery action.

As a data analyst, you know that similar issues that continue to affect productivity are often symptoms of a deeper problem. But when there are so many processes happening simultaneously, it's a huge challenge to accurately pinpoint root causes just by pouring over paperwork and data manually.

By analyzing event logs and process traces with Perceptif's, you can now easily  identify the underlying causes of process inefficiencies, delay

s, or errors in actual processes. With this root cause analysis, pinpoint specific activities or decision points that contribute to these issues and recommend targeted solutions to address them.

Take data-based recovery action immediately to improve processes and make them work better for your company.

Eliminate issues even when processes are still happening. All you need is data that you already have, like Case ID, Activity, and Timestamps in every entry log that you want to dive into for an in-depth analysis.

3. Data-Driven Decisions

Process mining provides data analysts with objective and factual insights into process performance. Perceptif analyzes digital breadcrumb trails of every step in real time, giving you a complete view of all transactions and processes.

It automatically reveals violations, delays, and/or conflicts that are costing you precious resources. It is vital to understand the "why" and "where" behind these deviations.

Use these insights to make data-driven decisions, prioritize improvement initiatives, and optimize resource allocation. Take it further to streamline operations, minimize costs, reduce deviations, and maximize results. Your company wants to make decisions based on data and facts, not guesswork or assumptions.

You want any variation that strays from desired operational flow to be pinpointed clearly for you to suggest a clear solution. With AI-driven analytics, your business can take data-driven action to harmonize operation processes for a seamless, functional flow.

4. Maximize Productivity

With increased visibility into real-time operational insights, Perceptif drives productivity for tangible business benefits.

Process mining gives you a clear visual representation of how processes and procedures are executed in an organization. With this, data analysts gain a clear understanding of the sequence of activities, decision points, and potential bottlenecks in a process.

This understanding helps identify areas for improvement and optimization. This data can also be used to compare the actual flow with the expected flow based on established procedures.

It helps detect any deviations or unauthorized activities that are holding back productivity. As you are aware, actual processes don't always follow the same steps each time, there are often different variations. Let us help you understand why, which, and how deviations happen to maximize operation productivity.

Process mining offers the opportunity to automate these analysis, saving your precious time and effort. You can quickly and accurately extract valuable insights from large datasets, allowing you time to focus on interpreting the data rather than spending long hours on manual data extraction.

What Is Perceptif?

Perceptif is a powerful tool to unlock operational excellence with process mining & automation. It harnesses the power of big data technology and AI to pinpoint areas of process improvement. This is applied to multiple aspects of your business to save time, effort, and cost with minimal effort.

Request a demo or subscribe to any of Perceptif's Plans for immediate access. Got a question? Get in touch with our expert team of consultants.

Stop wasting resources. Now, start optimizing processes for record-breaking performance.

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