Overview
What Is Data Integration, Business Intelligence and Analytics?
Connected, trusted data from across the business, turned into reports and analytics people can rely on.
The Need
- Data spread across systems that do not connect
- Reports that take days to produce by hand
- Numbers that differ depending on who you ask
The Approach
- Connect key data sources into one trusted view
- Improve data quality and agree definitions
- Automate reporting and analytics for decision makers
Assumptions and Dependencies
- Access to source systems and data owners
- Agreed definitions for key measures
- Business owners for each report
Challenges
Challenges This Solution Helps Address
The problems that most often lead organizations to look at data integration and business intelligence.
Solution Fit
Is This Solution Right for Your Organization?
Signs that data integration and business intelligence is likely to help, and what to check before you start.
Business Owners
- Finance and operations leaders
- IT and data teams
- Business unit heads
Typical Triggers
- Reporting that takes too long
- A new system or acquisition
- A plan to use AI that needs reliable data
Environment
- Business applications, databases and spreadsheets
- Cloud and on-premises data platforms
Fit and Dependencies
- Works best with clear data owners and agreed definitions
- Results depend on source data quality and access
What It Includes
What the Solution Includes
The main elements and the role each plays. The exact scope is agreed for each engagement.
How It Works
How It Works
Built in increments, so useful reports arrive early and improve over time.
Assess
Review data sources, reports, definitions and data quality.
Design
Agree the data model, definitions and priority reports.
Deploy and Integrate
Connect sources, build the data platform and automate reports.
Validate
Check numbers against source systems with business owners.
Operate and Improve
Add sources and reports, and improve data quality over time.
Use Cases
Use Cases This Solution Supports
The scenarios this solution addresses. Start with the one closest to your situation.
Services
Services to Help You Implement and Operate It
The Signisys services that deliver this solution.
Technology
Platforms and Technologies
The technology areas involved. Specific platforms and partner status are confirmed per engagement.
Implementation
Planning a Successful Implementation
Points to review early, so the work is scoped accurately.
- Which systems hold the data, and who owns it
- Definitions for key measures
- Data quality issues in source systems
- Security and access to sensitive data
- Who will maintain reports and the data platform
- Engagement model and ongoing support
Measuring Success
How to Measure Success
Example measures, not results achieved by Signisys. Agree a baseline, and keep targets separate from measured results.
Reporting Time
How long it takes to produce key reports.
Data Quality
The share of records passing agreed quality checks.
Report Adoption
How many people use the reports and dashboards.
Manual Effort
Time spent preparing data by hand.
Our Approach
How We Deliver This Solution
How Signisys works, from the first assessment to handover and beyond.
FAQs
Frequently Asked Questions
Common questions about data integration and business intelligence.
What business problem does this solution address?
Data spread across systems, slow manual reporting and numbers that people do not trust.
How does the solution work?
It connects data sources, improves quality and definitions, and automates reports and analytics.
Which environments can it support?
Business applications, databases and spreadsheets, on cloud or on-premises data platforms.
What prerequisites should we assess?
Your data sources and owners, key definitions, data quality and the reports that matter most.
Which services are available to implement it?
Data, Analytics and AI and Consulting and Managed Services, covering assessment, implementation and ongoing improvement where agreed.
How do we know it is working?
Agree a baseline for measures such as reporting time, data quality, report adoption and manual effort, and track them over time.
Turn Data into Decisions
Share your objectives and current environment with Signisys to discuss the approach, requirements and next steps.