1. Accruent Analytics solution in Oracle Cloud
Dmitry Sandovich Senior Data Architect

2. About Accruent
Revolutionizing the way organizations manage their real estate and facilities to materially improve their value and performance
12,000 +
customers
150
countries
Managing
5.3 T
square feet
275k
leases
7.3B
assets
200 B
telemetry data points
Accruent is a global software company with a portfolio of cloud-based software products that enable organizations manage their physical resources. 10,000+ customers in over 150 countries depend on Accruent to optimize all stages of real estate, facilities and asset management, from capital planning to IoT-based monitoring and control.

3. Market Leader Across Industry Segments
Telecom
of Top 5 U.S. Carriers
100%
Retail
of Top 100 Retailers
50%
Education
of Top 50 Universities
40%
CRE
of Fortune 500; 6 of 7 Top U.S. Banks
25%
Healthcare
of U.S. Hospitals
55%
Public
of U.S. Government Departments
60%
& INFRASTRUCTURE
TRANSPORTATION
Utilities
leading utilities in 5 continents
40+
Accruent’s solutions are at work in 50% of the top 100 retailers, 55% of U.S. hospitals, at telecommunications providers managing 1.3 million sites, and at leading service providers managing more than 5 trillion square feet of property.

4. Customer Challenges Explosion of data sources
Functional silos of information
Lack real-time picture of business health
One key challenge customers face today is that there is a huge variety of data used to manage physical resources, and that data is growing every day. Sensor data for individual pieces of equipment alone is large and growing source of key information. There is utilities usage and cost data down to the individual meter level. Add to that information about leases, project plans, SLAs, work orders, construction cost estimates, CAD drawings, BIM data … it’s a huge amount of data and only going to grow as time goes on.
(Functional silos of information)
And even though 85% of users surveyed are involved in multiple real estate management functions, they often have no good way to bring data together from different functional systems. This leads to a lot of time exporting and massaging data – usually in Excel – often up to 4 hours per week for a single weekly report.
(Lack real-time picture of business health)
This all means that it is difficult and time-consuming to bring data together to get view into information needed for business insights. For a retailer this might mean understanding what build outs are at risk that could impact planned revenues? For a service provide, it might mean tracking compliance with service level agreements. And even when this data is pulled together, it’s quickly out of date and can’t always be relied on.

5. Key Customer Needs Multi-source reporting & analytics
Near real-time data
Easy to customize reports & dashboards or create on the fly
Multi-source reporting & analytics
90% of Accruent users surveyed reported that multi-source reporting was important to them. These sources include not only data from Accruent products but from other third-party products and enterprise data sources.
Near real-time data
Some of our products provided real-time data for reporting, while other had periodic job – for example, nightly – to make data available for reporting While real-time data isn’t needed in most instances, customers valued closer to real-time updates for certain content, such as work order response time.
Easy to customize reports & dashboards or create on the fly
Customers noted that no matter how many standard reports and dashboards were available, they would always want to customize them to meet their needs. Ad hoc reporting was not available in some of our products.

6. Technology Drivers Cost of multiple reporting solutions & technologies
OLTP DW
Cost of multiple reporting solutions & technologies
Stale data
Risk of Production impact
Complexity of ETLs
Lack of ad-hoc reporting
OLTP
OLTP
OLTP DW
OLTP DW .
and many more products …
Need to support multiple reporting solutions
There were different reporting solutions in use in each of 12+ Accruent software product. The number was growing as Accruent continued to acquire new products – at the rate of at least 2 per year. This required people with different skill sets to maintain different databases, use different replication technologies, and back and front end development, as well as multiple vendor contracts.
Stale data
Some products only refreshed reporting data once a day.
Risk of Production impact
Since some products pulled data directly from Production OLTP databases when generating reports and dashboards, all of client Production could be impacted by large scale jobs or errors.
Complexity of ETLs
There were a massive amount of hand-written ETL transformations which were not efficient to manage or support.
Need for ad hoc reporting
Some solutions did not offer ad-hoc reporting capabilities that were critical to customers.

7. Evaluation Criteria for Cloud Providers
Common technology in Cloud & on-premise
Existing database expertise
Platform as a Service (PaaS)
Near real-time replication
Graphical ELT tool with incremental processing
The Accruent Team completed extensive research across leading Cloud Providers based on following criteria:
Same technology available on-premise and in a Cloud
Take advantage of in-house expertise with major database platforms like Oracle and SQL Server
Solution available as a PaaS
Near real-time lightweight replication supporting heterogeneous platforms
Graphical ELT tool that supports heterogeneous platforms and incremental processing

8. Accruent Analytics

9. Solution Overview Central BI solution
Support for multiple data sources  
Near real-time data
Cloud-based
Built on best-in-class, third-party solutions
Oracle Cloud
IBM Cognos
Central BI solution
Accruent Analytics will become our central reporting and analytics tool for all Accruent products
Supporting multiple data sources
While we are initially onboarding data from Accruent products, we will also support other data streams in the future. In addition, users can upload ad hoc data set.
Near real-time data
All reporting is based on near real-time data delivered from a central lake into product data warehouses
Cloud-based / Built on best-in-class, third-party solutions
The entire solution is cloud-based, with a data lake and data warehouse in Oracle Cloud, as well as IBM Cognos, the front-end BI tool.

10. Solution Architecture
Public Cloud
Co-located DL, DW & BI
Consolidated data in DL
Product-specific DWs
Common user experience
Solution Architecture
On Premise Data Centers
Public Cloud
OLTP
DWs
Ameliorated Product Data Sets
Data Lake BI
RDBMS
Unified Solution .
Public Cloud
Advantage of Public Cloud – fast time to market; scale on demand; pay for what you use; avoid capital expenses;
DL, DW and BI collocated
DL, DW and BI are collocated to optimize performance, simplify security and avoid network traffic charges
Consolidated data in DL
Consolidating data from multiple products in a DL enables cross-product transformations
Product specific DWs
Each product has its own DW to allow independent scaling and improve security
Easier to maintain
A single BI solution will replace multiple solutions used in different products, allowing Accruent to more easily maintain our reporting solutions
Common user experience
The Unified BI solution will provide a common user experience for reporting and dashboards regardless of which Accruent products a user subscribes to
Initially Data Lake is implemented on top of RDBMS. Big Data ecosystem will be introduced later. Big Data will allow us to store data in the Data Lake indefinitely. It will also open an opportunity to store and process unstructured data.
All data points required for reporting, including data points from other products are available in product specific DW / DM.

11. Technical Architecture
On Premise
Data Lake
DWs
OLTP
Network CS
Database CS
Database CS
VPN
Compute CS
GoldenGate CS
GoldenGate CS
GoldenGate CS
ODI CS
Compute CS
Java Cloud Service
Compute CS
Object Storage
Built in Oracle Cloud on top of Database CS, ODI CS and GoldenGate CS with IBM Cognos Analytics front end.
Backup Service
Block Service

12. Key Outcomes 2 products onboarded; 2 coming end of 2018
Ad-hoc reporting a new capability for some products
Near-real time data for dashboards & reports
Simplified ETL development
Faster & easier deployment and maintenance
With Oracle GoldenGate CS we can deliver data for reporting near-real time. It is easy to configure and use.
ODI CS simplified our ETL development. We don’t need to manually code transformation logic with PL/SQL. We can take advantage of reusable mappings for full and incremental processing. With ODI it is easy to implement parallel execution and exception handling.
With Oracle Cloud (in general) we can provision infrastructure and services on demand. It allows us to scale infrastructure components based on usage. Using PaaS services greatly simplified deployment and maintenance tasks.