PRISM Informatics provides services including SAP HANA implementation, predictive analytics, mobile application development, and cyber security. SAP HANA is an in-memory database that provides high performance analytics capabilities. Predictive analytics processes historical data to make predictions about future events. Mobile applications are developed for personal and professional use across various platforms. Cyber security services help protect critical data and systems from threats.

1. PRISM Informatics
We Drive

2. Devisions
• SAP HANA
• Hardware
• Predictive Analytics
• Mobile Application
• Cyber Security

3. SAP HANA
1. License Sale
2. Implementation Support
3. Application Support

4. SAP HANA
• HANA stands for High Performance
Analytic Appliance
• Let us see one by one what is High
Performance, Analytic and Appliance
separately

5. SAP HANA
High Performance
• High performance is achieved by moving
the Data Base from slow Hard Disk to fast
RAM memory
• High Performance is achieved by changing
the table structure from row to columns for
faster search

6. SAP HANA
Analytics
• OLAP is an acronym for Online Analytical
Processing. OLAP performs
multidimensional analysis of business data
and provides the capability for complex
calculations, trend analysis, and
sophisticated data modeling.

7. SAP HANA
Online Transaction Processing
• OLTP is a class of software programs
capable of supporting transaction-oriented
applications on the Internet. Typically,
OLTP systems are used for order entry,
financial transactions, customer relationship
management (CRM) and retail sales.

8. SAP HANA
Appliance
• SAP HANA is available with pre-
configured servers, with all software,
securities and industry best practice reports
and dash boards. This reduces the
implementation time from months to weeks

9. SAP HANA
• All the reports and dash boards can be
viewed on personal devices like Smart
phones and tabs on the go.
• Real time reports can be viewed and
decisions can be taken on the spot
• No more waiting for any critical reports

10. Hardware
• Servers
• Data Centre
• Back up Servers
• Disaster Recovery
• Cloud Solution
• Network
• Firewall
• Cloud Security
• Routers
•

11. Hardware
•Office Access Control
•Big Data Security
•Video Surveillance
•

12. Cyber Security
• Information is Power
• Power is Money
• So information is stolen to make quick
money or create damages
• So it becomes necessary to protect our
data
• Here comes our Cyber Security division
•

13. Cyber Security
• Computer security is critical in almost any
industry which uses computers. Currently,
most electronic devices such as computers,
laptops and cellphones come with built in
firewall security software, but despite this,
computers are not 100 percent secure and
dependable to protect our data – Wikipedia
•
•

14. Cyber Security
• There are many different ways of hacking
into computers. It can be done through a
network system, clicking into unknown
links, connecting to unfamiliar Wi-Fi,
downloading software and files from unsafe
sites, electromagnetic radiation waves, and
many more – Wikipedia
• .
•

15. Cyber Security
• However, computers can be protected
through well built software and hardware,
by having strong internal interactions of
properties, software complexity and prevent
software crash and security failure -
Wikipedia

16. Cyber Security
• Red Team Consulting
• Application Security
• Security Operation Center
• Testing and Validation – FIPS 140-2
• Threat Analytics and Predictive Modeling
• Cyber Forensic and e-Discovery
• Cyber Security Culture Building
• Cyber Security Capacity Building
• Industrial Control System and SCADA
Security

17. Predictive Analytics
• Predictive analytic is an upcoming
technology which processes historical
data and gives a lot of insights,
understanding and guides us towards
future course of action in all the aspects
of enterprise

18. Predictive Analytic
Predictive analytic encompasses a variety of
statistical techniques from predictive
modeling, machine learning, and data mining
that analyze current and historical facts to
make predictions about future or otherwise
unknown events

19. Predictive Analytic
• In business, predictive models exploit
patterns found in historical and
transactional data to identify risks and
opportunities. Models capture relationships
among many factors to allow assessment
of risk or potential associated with a
particular set of conditions, guiding decision
making for candidate transactions

20. Predictive Analytic
• Predictive analytics is used in actuarial
science, marketing, financial services,
insurance, telecommunications, retail,
travel, healthcare, child protection,
pharmaceuticals, capacity planning
• and other fields.

21. Predictive Analytics
• One of the best-known applications is credit
scoring, which is used throughout financial
services. Scoring models process a
customer's credit history, loan application,
customer data, etc., in order to rank-order
individuals by their likelihood of making
future credit payments on time.

22. Predictive Analytic
• In future industrial systems, the value of
predictive analytics will be to predict and
prevent potential issues to achieve near-
zero break-down and further be integrated
into prescriptive analytics for decision
optimization. Furthermore, the converted
data can be used for closed-loop product
life cycle improvement which is the vision of
the Industrial Internet Consortium.

23. Mobile Application
• Mobile devices have become part of
parcel of human life. We use them in day
to day environment for communication,
entertainment and in profession too. So
customers look for new application to suit
their personal and profession requirement.
We develop such apps in all platforms