What is Enterprise IT Intelligence?
Business Intelligence for your IT Organization
An umbrella platform which allows you to capture “holistic” real-time information across your IT Landscape (Environments, Data, Releases & Operations) with the intent of streamlined analysis, end-to-end insight, improved decision making and ultimately leading to better operations, orchestration and continual optimization.So, what is Enterprise IT Intelligence?
Well like its overarching parent, Business Intelligence, “Enterprise IT Intelligence” is fundamentally the embracement of certain activities and the capture of key information that supports the management of your IT Delivery Lifecycle and your IT Solutions. Key Activities:- Information Discovery
- Information Aggregation (Mapping / Relating Data)
- Reporting & Dashboarding (Historical & Real-Time)
- Event Alerting & Notification
- Information Consolidation i.e. Grouping e.g. By Team or System or Function
- Measurement e.g. Key Performance Indicators
- Prioritize (Identify Best Opportunities)
- Optimize (Collaboration / Act Upon the Data)
- Ensure commitment from senior stakeholders e.g. CIO, CFO & IT Executive Managers
- Identify benefits of implementing such a solution. Think Cost, Agility, Stability & Quality.
- Understand where valuable information resides and understand data gaps.
Key Information
The following is a selection of information that you might want to consider as part of implementing an Enterprise IT Intelligence solution: Your Data “Information Points”- Think Data-Sources, Databases, Grids, Structure, Content, PII Risks & Relationships
- Think People e.g. Data Subject Matter Experts, DBAs & Data Scientists
- Think Data Delivery Operations like ETL, Fabrication & Security Masking
- Think Lifecycle Lanes, Systems, Instances, Components, Interfaces & Relationships
- Think People e.g. Ent/Solution Architects, System Owners & Application Developers
- Think Application Delivery Operations like Design, Build, Release & Test
- Think Servers, Clusters (Swarms), Cloud & Network (Firewalls, Router & Load Balancers).
- Think People e.g. Infrastructure, Network & Cloud Architects & Engineers Think Infrastructure Delivery Operations like Provision, Configure & Decommission
- Project/Release Planning, Collaboration, Architecture Tools, Configuration Management, Version Control, Application Build, Continuous Integration, Packaging, Deployment, Infrastructure as Code, Data Integration/ETL, Test Management, Test Automation, Issue Tracking, IT Service Management, Logging & Monitoring.
Benefits of Enterprise IT Intelligence
The potential benefits of an Enterprise IT Intelligence platform include spotting problems early, trend behavioural analysis, accelerating and improving decision-making, optimizing internal IT processes, increasing operational efficiency (being agile at scale), driving IT cost optimization and gaining competitive advantage over your competition by providing better service and delivering solutions quicker.Learn More
If you want to learn more about implementing Enterprise IT Intelligence then speak to enov8 about our Ecosystem Solution. Enov8 EcoSystem is a complete platform that takes information from across the IT Spectrum and helps you better understand and manage your IT Fabric (Applications, Data, & Infrastructure), IT Operations & and Orchestrate them effectively.Relevant Articles
SAP HANA Data Masking: A Complete Guide
Using production data makes development and testing much more effective, but it also introduces a challenge: How do you give teams realistic data without exposing sensitive information? SAP HANA data masking solves that problem. In this guide, you'll learn what it is,...
Databricks Data Masking: Best Practices, Techniques, and Tools
Organizations use Databricks to build data pipelines, power analytics, and develop machine learning and AI solutions on a unified lakehouse platform. Much of the data stored in Delta Lake tables includes personally identifiable information (PII), financial records,...
Why Generate Everything? Generate Only What’s Missing
There's a quiet assumption baked into a lot of synthetic data strategies: if you need test data, you generate it. All of it, from scratch, every time. It feels like the modern, AI-powered answer to test data. But it's often the slow, expensive answer to a problem...
MongoDB Data Masking: Benefits, Challenges, and Best Practices
MongoDB powers many modern applications, from customer-facing platforms to analytics systems and cloud-native services. As organizations store increasing amounts of customer, employee, financial, and operational data within MongoDB, they must protect that information...
Test Data Management for Salesforce: A Practical Guide
Salesforce environments contain some of an organization's most valuable information, including customer records, sales opportunities, support cases, financial information, and business process data. While teams need realistic data for development, testing, training,...
What is a QA Environment? A Beginners Guide
Software development is a complex process that involves multiple stages and teams working together to create high-quality software products. One critical aspect of software development is testing, which helps ensure that the software functions correctly and meets the...





