EDA - EngX Data Analysis Automated Flow & Value KPI Calculation Tool
EDA - EngX Data Analysis
Solution Overview
EngX Data Analysis (EDA) is KPI tracking software, that easily plugs into your project tracking software and with the help of unique automated scripts shows user-friendly KPIs measurement dashboards. These easy-to-understand dashboards are built with the help of Power BI and are ideal for quick and customized analysis on different levels. EDA pulls data from various data sources (like Jira or Git) via APIs and reports KPIs which are the most demanded by stakeholders and organization leaders, who work with multiple teams.
Additionally, these dashboards can be set up as a communication tool to track and discuss trends, detect possible bottlenecks, see potential improvements and build your own organization's KPI Pyramid.
Customer Problem
Organizational leaders are constantly facing the lack of consistent KPIs measurement on different levels. Every business unit or organization level reports success in their own manner, which makes it challenging to compare performance and understand the real situation.
EPAM Solution
EngX Data Analysis tool is a solid Power BI based solution that ensures comprehensive, real-time KPI measurement. This KPI tracking software automatically pulls projects and teams quantifiable measures and calculates their performance against forecasted business outcomes. It not only minimizes the time spent on manual KPI entries and mitigates human errors but also provides continuous insights into Flow & Value KPIs across all organizational levels, from top management to operational teams.
Key Differentiators
Unique Scripts for Data Pulling and Calculation
EDA can take data from Jira/Git/Jenkins/ADO and build customizable Flow & Value KPIs dashboards in Power BI
Metrics/KPI Aggregation
KPIs aggregation on multiply levels: organization > unit > product > team
Benefits
Consistent measurement of SDLC efficiency
Measures key metrics across all teams, products, tribes, business units, etc.
FLOW metrics calculation
Provides metrics based on Flow framework with drill-down from org level to teams
Historical CvC trends display
Saves and displays the history for up to last 7 sprints
Average velocity (predicted and completed) estimation
Calculates average velocity for all teams with their historical trends
Features
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Comprehensive KPI Measurements: Includes a wide array of Flow and DORA KPIs such as Lead Time, Release Frequency, Defect Containment Efficiency, Flow Efficiency, Flow Distribution, etc.
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Customization and Scalability: Offers unlimited options to add new metrics or adjust formulas in a centralized manner.
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Data Source Integration: Connects to various data sources, including Jira, Git, Jenkins, and Azure DevOps, using APIs.
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Power BI Integration: Provides customizable, scalable, and timely updated Power BI dashboards that seamlessly integrate with the client's Office 365 environment.
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Robust BI Functionality: Features out-of-the-box BI capabilities including effortless drill-down, personalized dashboards, notifications, alerting, etc.
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Streamlined Status Reporting: Enables configuration of message exchanges and task creation within the tool.
Use Cases
Business Information Services
Problem Statement
The organization was struggling to understand the performance of platform/product teams that were based on fragmented and inconsistent measurements.
Solution Proposed
EPAM suggested the EDA KPI management software with Python scripts pulling data from Jira, Bamboo CI, Grafana, Zabbix, Kibana and further measuring EngX (flow) KPIs (Lead/Cycle Time, Release Frequency, Defect Containment efficiency, etc.)
Achieved results
- Automatic and consistent measurements for all platforms/products in scope
- Dashboards with individual selection of the valuable KPIs, auto-updated several times per day
- Teams productivity indicators alignment within the whole organization
Logistics Industry
Problem Statement
Manual KPI reporting by engineering teams and low traceability of non-reliable KPIs.
Solution Proposed
As KPI tracking software, EDA solution automatically pulls data from Jira and measures the organization's individual EngX (flow) KPIs.
Achieved Results
- Significant time reduction previously spend on regular manual KPIs inputs
- Measurements data quality enhancement due to the human-made mistakes exclusion
- Power BI dashboards with an individual set of metrics, auto-updated daily
- Lead time improvement by 15-20%
Data Analytics and Brand Consulting Company
Problem Statement
- Inconsistent KPI measurement across business units and streams
- Inconsistency of how user stories, features, epics are understood in various units
- Lack of data-driven culture in Product development
Solution Proposed
PowerBI-based KPI tracking software (EDA) providing automated KPI measurement with:
- Easily customizable and scalable dashboards
- API-based integration with ADO
Achieved Results
- KPIs aggregation on multiply levels: organization -> unit -> product -> team
- Consistent measurement of key metrics across 90+ teams, 20+ products, 8 Business Units
- Streamlined status reporting with focus on SDLC (flow) efficiency
Additional Information
Questions & Answers
Can we implement EDA by ourselves?
Posted on April 1, 2022 by Rajveer
What is the typical timeline for the full EDA implementation?
Posted on February 27, 2022 by Dionne Martinez
Are there limitations to the number of organization hierarchy levels?
Posted on February 27, 2022 by Dionne Martinez
How soon can I get the first results from your solution?
Posted on February 12, 2022 by Mariyam C
Integrates with
Jira
Git
Azure DevOps
categories
license type
type
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