Analytics Engines is a global leader in big data and analytics. They develop powerful and scalable open source analytics platforms that can be optimized for a customer's specific data, tools, and business needs. Their process enables adding diverse data sources like sensors, meters, and public/private companies to build a data cooperative network that can transform areas like supply chains, compliance, consumer experience, and operational efficiencies. For example, linking weather data to waste water sensors could improve runoff issues in locations and decrease costs while improving standards, opportunities, and perceptions.

1. Building a Data Co-Operative

2. Analytics Engines
• Founded in 2008 from the world leading ECIT (Electronics,
Communications & Information Technology) Institute at Queens
University Belfast
• Analytics Engines is a global leader in high performance
Big Data & Analytics
• We develop powerful, scalable, click-to-deploy open
source analytics platforms that can be optimally tuned
to your specific data, software tools and business
needs.
• Headquartered in Belfast, Northern Ireland we work
internationally across North America and Europe with a
customer base from multinationals to niche specialists

3. Common Problems
Tool kit to focus on those specific to you
Siloed data Complex infrastructure Varied
stakeholders
Scalable data
storage
Centralized,
optimized
analytics
infrastructure
Single data
view with
access control

4. Initial Project and Architecture
Definition – Designed for your
specific needs
Analytics Platform
Designed for you

5. Benefits and measurable outcomes
• Supply chains
• Compliance monitoring
• Consumer experience
• Tracking leakage
• Operational efficiencies
• Reducing energy use
Our pipeline process enables easy
addition of data sources e.g. Sensors,
meters, lines of business,
public/Open, private companies etc.
This would build a data network that
could be published appropriately,
creating a data co-operative including
customers and partners. This enables
transformational solutions to
problem areas such as :

6. Use Case
Our Design Thinking expertise allows us to focus on the end
users and customers, and to prioritise the right projects.
For example, by linking predictive weather data to historic
waste water data and level sensors, together with the
expertise of local engineers, the appropriate actions can be
taken to improve run off issues in locations such as
Ballyholme. This would lead to:
• Decreased costs and potential fines
• Improved customer experience and perception
• Improved water and beach quality standards
• Increase in tourism and fishing opportunities
What is good for NI Water is good for communities and NI
plc.

7. info@analyticsengines.com
www.analyticsengines.com