CenProM (Centralised Production Management)   | INFORMIS - Informatica MIS   | 

NeGeAn (Next Gen Analytics) |  Business Analytics & MIS 

A conceptual product from SANREK which would be a must for all organizations with multiple systems needing specialized IT Event Management. It provides a top down MIS approach to the business owning the IT systems.

An open framework product based on the messaging system, CENPRO provides a single window for the stakeholders and business management for the statuses of their systems and components, real time. The product implementation involves bugs inserted who keep reporting the status continuously or on completion of an important event to the master center. The master center listener will be up and receiving messages all day and will keep processing and updating the interface which is the window for the MIS for the business stakeholders.

It is a product framework for the one stop information center for all systems having  simple message based framework for minimum customization time and scalability.

With the organizations relying more and more on Informatica as an ETL tool for their DWH solutions, it becomes imperative that businesses would require a quick turnaround and information for their ETL platform.

INFORMIS is a unique tool providing simple and sensible MIS information to business for their Informatica platform. In addition to being a powerful performance profiler and Informatica processes statistician, it also gives a direct access to the technical core for swift root cause analysis for the service disruptions at the platform. We suggest it as a must for all Informatica production systems.

INFORMIS is built upon a beautiful concept of SPY feeder which captures data at runtime to avoid concurrent connection issues. While it can showcase the minute process execution details of Informatica production system, it also includes the command line performance statistics as an icing. In line with idea of our simple solutions, INFORMIS uses the Data Collection -> Data Modeling -> Data Presentation analogy.

Fraud Analysis is an important part of Risk Management.

• The existing Fraud Analysis is always post mortem. Frauds at Enron, Citibank, Barclays, Beary’s bank incidents have always been postmortem to find out patterns which confirms on how fraud has happened.
• So a possible FRAUD can be defined as any pattern which is not NORMAL
• Possible FRAUDS can be caught real time if systems can identify PATTERNS.

Possible Fraud PATTERNS can be any SURGE OR any ABNORMALITY in the data compared to data from previous timeline. Few examples are

• A brokerage house which had not bought shares of ABC company for past 3 years suddenly buying that stock in increasing numbers daily for past 7 days.
• An employee of an organization making a payment to a particular account every day or month.
• A financial statement of a company showing increasing revenues and profits quarter after quarter but the tax returns are the same.

All these patterns are indication of POSSIBLE FRAUDS. If real time information can be provided about these POSSIBLE FRAUDS to business management, they can either

• Analyse the fraud and mitigate it at right time.
• Identify the fraud as FALSE ALERT and the system will be intelligent enough to allow this FALSE ALERT scenario not to happen again.

This will ensure we have a FRAUD identifying system which is very intelligent as time passes by.

The Concept

A essential by-product of our technical line of experience and expertise. We generally provide customized solutions for requirement.

The approach is essentially case study based. We are quite an expert on data mining and cube analysis. We do recommend on latest and most appropriate market tools available for your requirement.

We come up with MIS solutions on your existing data keeping your requirement in our mind.Our recent experience include Data modeling, Data Intelligence and Architecture design