BrightStar – Remote Application Management Services


BrightStar provides Application Management Services…

  • Complete remote application support services by BrightStar team

Why Application Management Services with BrightStar?

Our Remote Application Management Services include management of your business software regardless of its location, giving you the flexibility and control you need over your enterprise applications. Remote Application Management by BrightStar infrastructure experts frees internal staff to focus on key business initiatives while enabling quick and easy remote application troubleshooting and ensuring proactive management.

Remote Application Management Services

  • Functional Application Support for end-users
  • Technical Application Support
  • Knowledge Management & Transfer
  • Application Administration
  • Application Analytic’s
  • Remote Hardware Management

Benefits of Our Services

  • Increase utilization of your software investment with complete 24/7 technical and  functional support
  • Gain more time to focus on business results, while BrightStar handles day-to-day application management with a dedicated support team
  • Improve software performance with a configuration optimized for your specific application portfolio

BrightStar Application Expertise

  • Oracle® E-Business Suite,
  • Oracle Hyperion,
  • Oracle Fusion & Oracle Taleo
  • Oracle ATG Commerce
  • Oracle WebCenter
  • Oracle Endeca

Questions? Contact an expert: at


Reduce Costs and Increase Productivity with State-of-the-Art Oracle® Fusion Applications


Reduce Costs and Increase Productivity with State-of-the-Art Oracle® Fusion Applications

Designed using the latest technology advances and best practices gathered from Oracle’s thousands of customers, Oracle® Fusion applications are open-standards-based business applications that set a new path for the way companies innovate, work, and adopt technology.

BrightStar’s Oracle Cloud Expertise

BrightStar’s services for Oracle Fusion are based on a similar perspective: that your enterprise applications should be as agile as your business needs to be. BrightStar provides expertise across Oracle Fusion applications, including Financials, HCM, and SCM, and throughout the Fusion application life-cycle—enabling your company to increase productivity and reduce ongoing, application management costs.

With more than a decade of experience supporting Oracle applications, and unique expertise in running Oracle Fusion, BrightStar is your partner for moving to the next generation of Oracle solutions.

BrightStar’s service capabilities for Oracle Fusion:

  • Initial Assessment: This two week engagement includes a Fusion road-map, support plan, resource requirements, change-management plan, and related cost estimates.
  • Implementation: BrightStar provides world-class, professional services around the implementation of Financials, Procurement, Order Management, Manufacturing, Customer Relationship Management and Human Capital Management.
  • Fast-Track Upgrade methodology: Our proven methodology ensures a trouble-free upgrade from planning to support, with a delivery and pricing model designed to minimize a customer’s traditional reliance on CAPEX to fund a large implementation.
  • User education and training: Our Oracle application experts are highly experienced in running Oracle Fusion applications, not just implementing them.  We can provide education and training that ensures your Fusion application supports your workflow the way you need it to.
  • Managed Application Services: BrightStar can manage your Oracle Fusion deployment on an ongoing basis, offering both technical and functional support to help your team generate the greatest benefit from your Oracle investment.

BrightStar’s Oracle Cloud Services:
+Oracle Cloud Managed Services
+Oracle Cloud Consulting
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Contact us at and our expert team would be happy talk to understand your requirement.


How to hire your first VP Sales.

Came across a wonderful article Posted by Sudip on March 18, 2016 at 3:29pm in Talking Points.  Sharing the same for you all to enjoy the read and learn from the suggestions given…

Having been a sales person most of my life and now CEO of a SaaS company. Few things I look for in a sales person that I hire (relevant for VP Sales too, you just need to go a lot deeper).

Every person is different and every sales person has a different style of selling, some are Relationship based sales professionals, some are Challenger based. Identify your customer base, would your product be sold to CXO level or Director level. Would it be sold to SMB’s or Enterprises. A sales professional who can sell to a Product Manager in an SMB might not be a good fit to sell to CXO in an enterprise. You also need to understand the price point of your product before you hire the VP Sales. Has the person sold smaller SaaS deals $10/ license or $1000/ license.  Both require different skill sets.

Does your start-up/ company at this stage need a VP Sales from SalesForce, Dropbox, LinkedIn or another growth stage Start-up would do the trick?

  1. VP Sales at early stage startup is a Sales/ marketer/ growth hacker – is a sales Hustler. This person will get you more deals closed.  Look for this person if you around $500,000 revenue.
  2. VP Sales at a more stable growth stage is one who is looking to grow revenue from existing customers and also getting new business. Look for this person if you are around $2,000,000 revenue
  3. VP Sales at a SMB company would go for few big leaps. S/He can open few enterprise deals for you.  Look for this person when you are around $10,000,000 revenue
  4. VP Sales at a enterprise. This is the person who analyses your growth daily. Lives by reports and dashboards. This is the person you need when you are around 50,000,000+ revenue

So before you go out to hire a VP Sales, see which stage of the company you are at currently and what does your company sell to understand who can help you at which stage.  There are few things to do before you hire your VP Sales.

  1. Sell yourself.
  2. See what the customers are saying.
  3. Get a feel of the market.
  4. What questions are your customers asking.
  5. What are your customers saying post they have tried your product.
  6. Hire 1 /2 Sales Reps.

Once you have sold the product yourself,  hire a 1/2 Sales Managers/ Reps before you hire your VP Sales. With their help, without spending a lot you will get an idea of how others (other than the Founder/ CEO) sells and the challenges they face. VP Sales would be an expensive hire and you want to make sure that you have tried something, built a pipeline before you take and hire your VP Sales. Few things that you should ask your to-be-hired VP Sales:

  1. The questions that your customer asked you while you sold, ask the ‘to-be-hired” VP Sales the same questions and see how he responds. One of the reasons you need to sell first. They won’t have answers to all the questions about the product but this will give you a good idea about how this person thinks and his analytical thinking. Thinking on the feet is one asset all VP Sales should have.
  2. Who does the “to-be-hired VP Sales” thinks are your competitors – This would give you an idea about how much s/he knows about your product and the market.
  3. How would they sell the product? – Based on how you have sold and the feedback you have received would give you an idea if that will be successful or not.
  4. Sales Strategy
    1. Ask them what should be the annual target for the coming year. – This will give you an idea if the person is aggressive or conservative. Before you ask them, you have to give them an idea of what you current pipeline looks like
    2. Give them a situation, give them your expected growth number and how will they achieve the same
    3. Give them example of a company and the revenue you are generating from them. How will s/he increase the revenue from this company? How can s/he take 10k to 100k/ year revenue from that company?
    4. How did you handle a situation where your competitor was already selling their product to the company?
  5. Have they sold something themselves recently. Most VP Sales that you will hire, would have had a decent team to support him/ her. Make sure that they have closed deals themselves. Ask pointed questions to figure out what they did and how they did it. Challenges they faced. Is s/he  confident of owning part of the quota.
  6. How has this person handled the growth in the previous organization. What was his contribution. Map it to your current state and see if this person will be a good fit.
  7. Team Player –
    1. Make sure that he gives credit to his team. A VP Sales who hogs the limelight is not one you would want to hire. Rest assured that his/ her team members would never be happy.
    2. How does he hire sales professionals? What does s/he looks for when hiring team members – His/ her answers should give you an indication of how balanced s/he is. Does s/he have the same qualities s/he is looking for?
    3. Who was the most successful team player he has in his/her current organization – what was his/ her role in making that player successful
    4. Who is the worst sales person in his current organization. What has s/he done to make sure that person becomes successful.
  8. What was the worst quarter s/he faced? By how much did s/he missed their number? What did s/he do about it?

A great VP Sales can take your company with limited traction to great sales, and a good VP Sales can stop your company’s growth. Make sure you hire the right person at the right time.

Oracle Application Professional Services


BrightStar’s Professional Application Services consultants become an extension of your team to optimize your enterprise software based on an understanding of your day-to-day business operations.

Leverage our consultants’ expertise in successfully completing thousands of application implementations, upgrades, migrations and integration, designed with operability in mind.

Our professional services team offers business and technical expertise on a project basis. Our program is a short engagement during which our certified experts will perform a business needs analysis and chart a road-map to meet your objectives. Once complete, you will receive a Business Case, Measurable Objectives, Resource Plan and a Project Plan.

Our Application Professional Services

Our Application Professional Services team provides services to support the full life-cycle of your software. Get the business and technical expertise you need for application events. All of our services are delivered with operability in mind.

  • New Implementations
  • Design & Configuration
  • Upgrades, Migrations & Integration
  • EDI Data Mapping, Monitoring & Support
  • Workflow & Performance Optimization
  • Report Writing & Design
  • Customization & Interface Projects
  • Training Workshops

Enterprise Applications Consultants

BrightStar offers professional consulting across the spectrum of leading enterprise applications.

  • Oracle E-Business Suite,
  • Oracle Fusion Application,
  • Oracle Hyperion,
  • Oracle Fusion & Oracle Taleo
  • Oracle ATG Commerce
  • Oracle Endeca
  • Oracle Mobility – Mobile Application Framework
  • Oracle Remote Server Support Services – EBS, Database, WebLogic, SOA

Questions? Contact an expert: at

Predictive Analysis In Fraud Risk

Predictive Analysis In Fraud Risk

by Deepali Dharwadker

After spending over a couple of decades in Data and Analytics, I am often asked “What kind of Analytics are most suitable for my organization?” There are many kinds of Analytics. In this article I will focus on Predictive Analytics in the Fraud Risk domain which constitutes the major play in the Analytics world in this segment.

Industry survey states that over 70% of BFSI executives believe that Big Data can play a key role in Fraud Prevention and Detection provided they embrace the technology for Statistical and Algorithmic Techniques along with continuous transaction level data monitoring.

“BI delivers Insight, Predictive Analytics delivers Action”

These days there is a shift in the concerns for the Chief risk Officer (CRO) – in addition to concerns about regulatory risks, business continuity they now seek solutions for RADAR (Risk Assessment Data Aggregation& Reporting) i.e. –

  • Having an integrated picture of risk across the enterprise
  • Extending risk coverage and information dissemination to the larger business community to help strategize
  • Predicting risk

Fraud Risk:

Assuming we are all familiar with RADAR, lets focus on the most popularly used Predictive Analytic Techniques for Fraud Risk :-

Predictive  analytics thrive on models – which is a mathematical formula or an equation that takes in data and produces a calculation, such as a score. It applies itself to data as a set of instructions to deliver a particular kind of result.

The result is a score which is a numerical value generated by the model when applied to a data set. However not all models generate scores

Predictive models are often embedded in operational processes and activated during live transactions. They analyze historical and transactional data to isolate patterns e.g. :-

  • What a fraudulent transaction line entry looks like ?
  • Look for identical or repetitive patterns in the transaction details e.g. location, threshold amount, business unit, dates like month end, weekend etc
  • What a risky customer looks like ?

These analysis draw the relationship between hundreds of data elements to isolate each customer’s risk or potential, which guides the action on that customer. This way, the customers may be tagged GREEN (good customer), RED (bad customer potential fraud) with varying scores.

Below are some popularly used Predictive Analytics in Fraud Risk

  1. Neural Networks :-

In environments with heavy data traffic, huge transaction volumes and abnormal data patterns, Neural Networks provide some help. However they work the best with pre-transformed smooth data and hence potentially viable for use in an RADAR ecosystem

The hidden layer is the mathematical core of a neural net. It selects the combinations of inputs (e.g., dollar amount, transaction type) that are most predictive of the output—e.g When your credit card is used or a claim is processed for payment.

  1. Clustering :-

Clustering models use demographic data and other customer information in order to find groups or “clusters” of customers with similar behavior, background or interests e.g. one step might be to vary the monitoring threshold of transactions for different cluster of customers. Using this cluster you could build a subset of varying thresholds to monitor his actions closely and accordingly produce Amber Data for caution As a result, clustering can be used as a precursor to predictive modeling

  1. Risk Maps :-

Risk Maps are very popular with the firms. They provide a list of potential risk, the ‘probability of the risk occurring’ and the ’impact size of the risk’. This way high impact risk can be closely monitored, however though this model does not provide the co-relation of 1 risk to another and hence every risk is an isolated find. For instance if we take 2 risk ‘fraudulent values of an asset’ and ‘lender of the asset’ as separate risk items, then the identification of risk is isolated whereas ideally both these risk need to be monitored in conjunction for Fraud Risk.The best way to use fraud related risk maps is through collaborative effort of different business units across varying functions within an organization to provide the business linkages to potential fraud risk.

  1. Simulations :-

Simulation techniques are typically used in getting information about how something will behave without actually testing it in real life. It works on following principle :-

Input=uncertain numbers/values * Intermediate Calculations = Output(uncertain numbers/values)

So how do these uncertain values help Fraud Risk ? The concept here is to do a ‘What-if’ Simulation of data. Each model is executed thousands times with varying data input to determine the probability and respective outputs e.g. Monte Carlo Simulation. Unlike the Risk Map the Monte Carlo Simulation factors in correlations between the variables.

Conclusion :-

While predictive analytics can be very useful and provides an objective view of data related to risk along with mitigation ideas, it is fundamentally important to tie the model appropriately to the business case, business unit and the relevant metrices along with behavioral and economic data.

Deepali Dharwadker – Consulting Practice Director – Business Intelligence for Oracle Financial Services Consulting. She can be reached at deepali.dharwadker AT

The views expressed herein are the views of the author and not necessarily the views of the employer.

Know Your Customer: Moving Beyond Regulatory Compliance

Know Your Customer: Moving Beyond Regulatory Compliance

Know Your Customer (KYC) and Enhanced Due Diligence (EDD) refer to operational tasks carried out by financial institutions in order to mitigate their risk exposure and to comply with anti-money laundering (AML) and counter-terrorism financing laws and regulations that are promulgated by the various financial regulatory agencies.

  • Know your customer (KYC) is a continuous process and not limited to New/prospect customer who is seeking to open new account.
  • The Customer identification process (CIP) is aimed at establishing customer’s identity.
  • Based on the initial risk profile, product usage pattern (Disclosed), transaction pattern (Un Disclosed), customer is subjected to customer due diligence (CDD).
  • Based on Dynamic risk computation/customer profile group, product usage pattern, transaction pattern (Based on value, volume, velocity, geography, channel etc.,.) of the customer required enhanced due diligence (EDD) procedures are validated as per the regulatory requirement/policy.

Due to frequent changes/updates in regulatory requirement/internal policy, financial institution are in great pressure to accommodate required due diligence to assess risk of a customer. As mergers and acquisitions are taking place within the financial industry, managing customers, especially those involved in differing risk profiles, need to be validated to understand the higher risk level than the previously independent entities, which results in major challenges. And the challenges are not unique to banks based on their size; Tier 1 banks such as HSBC and smaller organization such as Brickell Bank, based in Miami, Florida have both been hit with large fines over the last couple of years.

Key Challenges

Despite these ideas of AML, KYC, and EDD being around for many years, there are still significant challenges banks are facing regarding these.  I have outlined some of these below and have followed up with a suggested solution on banks can minimize the challenges.

  • Financial institutions irrespective of Business lines including retails, wholesale, private, investments, securities and capital markets and insurance companies are trying to establish complex global KYC requirements that include geography, customer, product and transaction specific.
  • Increased time to board and apply due diligence over  customer and  transactions, due to the manual and diluted KYC processes, which has resulted in non conformity to Global KYC standards.
  • Diluted manual KYC processes have resulted repetition of documentation on both existing and prospect customers and the amount of time this process takes leads to non-compliance.
  • The lack of financial institutions to derive / accommodate risk rating and KYC process by customer type, by geography, by product and by transactions has resulted in a significant increase of non compliance, and exposes financial institutions to regulatory, constituents and competition risk.
  • Financial institutions are finding it difficult to review the severity of the risk associated (keeps changing based on demographic, geographic and transaction pattern) with the customer, which further results in non compliance.
  • Few institutions have automated their KYC processes that are limited to customer, product and transactions; however the implemented system has a minimum capability to arrive /compute the severity of customer risk exposure at an enterprise level to apply enhanced due diligence.

Note: The term customer includes the notion of account holder, joint-account holder, power of attorney holder, beneficial owner, founder and occasional clients. These actors can be physical persons or legal persons.

Building Blocks – Moving KYC Beyond Regulatory Compliance

The G7 leading nations created the Financial Action Task Force (FATF)  to fight against money laundering, however financials institutions are supported by contribution from various organization like International monetary fund (IMF), United Nations (UN), and the Basel committee on banking supervision for development and economic co-operations. Global KYC standards address its concerns for integrity, direct and indirect losses that may be incurred by financial institutions that do not adhere to the key KYC due diligence process.

The primary role of a financial institution is to make profit such that they can better serve the  customer and retain them. In order to fulfill the same, the financial institution needs to know their customer better than before, but as a business objective, rather than a compliance regulatory requirement.  Key drivers for building a profitable financial institution are to have a strong KYC process / policy / Guidelines.

Revision of Existing KYC Process

KYC processes within the bank need to be evaluated on a regular basis to ensure there are no defects; it is best to have the organization fix the process before the regulator catches the issue(s).

Listed below are the criteria which needs to be validated before reviewing the existing KYC process:

  • Should the Revision effort be at Enterprise level vs. Business unit level?
  • Source/existing systems where existing KYC data needs to be collected
  • What different KYC data/information are required for completing KYC revision process?
  • Missing KYC data/KYC information that needs to be collected under law vs. internal policy
  • Gathering information from a specific group/category of customer vs. total customer
  • Processing KYC data which were available in current system vs. Data which were captured from public sources

In most financial institutions, a high proportion of customer data are stored in electronic format, a gap analysis can be carried out to find out find the missing KYC data considering all the accounts held by the customer with in the financial institution, In case if the multiple account relation of customer are stored in multiple system, cleaning and interlinking the customer relationship with in the enterprise needs to be established.

The risk severity of the customer depends on type of customer, product usage, transaction pattern, geography in which the customer operates, it is very imperative to financial institution to prioritize the receipt of information from customer who is deemed to pose higher risk, however financial institution can gain a insight into customer risk severity based on the customer’s transaction patterns. Effective prioritization logic would help financial institution to maximize KYC compliance for high risk customers at an optimal cost.

While the financial institution is in process of reviewing KYC data, the customer should not be inconvenienced or find out the FI is seeking information to rectify an issue that should have been addressed during customer boarding. However, the  financial institution needs to  assess how to collect the missing information via own records, public records or through investigative / verification agencies. It is preferred that a relationship manger reach out to the high net worth customer to continue the personalized services and to gather the missing KYC information.

Financial institutions should also clearly define response management such that following listed activates are managed efficiently:

  • Training – Various people who connect with customer needs to be trained on the script, how to assess the collected data and required further action.
  • Scalability – All the required hardware, software and infrastructure needs to tested for performance, speed and capacity to hold huge volume of revised KYC data.
  • Response Metrics – Metrics needs to be formulated at enterprise level such that Number of customer Whom all information has been received, Number of customers for whom information has been received in part, number of customer for whom no response has been received, however the above said parameters needs to consider other attributes like customer risk severity, medium used to reach customer, product usage, transaction patterns, geography, Branch etc.

Please join me next week as I continue to outline the best strategy on how to move beyond just checking the regulatory box and ensuring your KYC program is a sound business strategic initiative.

Gururaja Prasanna is Principal Sales Consulting at Oracle.  He can be reached at gururaja.prasanna AT

10 Reasons why Banks should move to Exadata

10 Reasons why Banks should move to Exadata

by Reshmi R (Kurup)

Oracle Exadata Database Machine has been around since 2008 and many financial institutions are already reaping the benefits of moving to Exadata. If your organization has still not moved on, here are some reasons why you should.

Business agility: Financial industry demands responding quickly to changing customer requirements by adding products and services quickly. So is the importance of timely information for business application such as ERP, SCM, HCM, and CRM etc to support business decisions. Oracle business applications can run on Exadata and can quickly improve the business operations times and employee productivity.
Improve User Experience and response time quickly: Would you like to gain substantial performance Improvement for existing applications which are running on Oracle Database with no changes to code?  Moving to Exadata can help here. Exadata has Storage Server Software which does Smart Scan – i.e. offloading query execution on to the storage server closer to data and pass only desired results back to the user. Smart Scan can work without any changes to existing oracle database and banks have noticed 10 to 100x performance improvements.
More Transactions per minute or more customers serviced within same time: Exadata feature Smart Flash Cache accelerates Oracle Database processing and speed I/O operations allowing more transactions to be performed. The unified network – i.e. a single network for both server-to-server communication and server-to-storage communication is based on InfiniBand, which is the fastest network technology on the market, running at 40 gigabits per second. In addition, DB optimized flash logging algorithms make Ultra-fast transactions possible. This can help scale the application and also reduce the overall business process cycles.
Adopt Cloud and associated benefits with ease: Exadata Cloud Service allows you to get started with Exadata with minimal investment with its pay per use model. Oracle Experts Manage the infrastructure and the environment is 100% Compatible with on-premise database enabling easy migration and hybrid deployments. Exadata also makes it easy to implement database as a service in your enterprise and walk away with all benefits of cloud – Self service, faster provisioning and agile environment. It saves the IT a lot of effort too.
Elastic Configurations for your specific requirement: Exadata comes in various configurations based on your requirement – DB In-Memory Machine, Extreme Flash OLTP Machine, and Data Warehousing Machine. Say you are looking for a High Performing DB in-memory machine and you already have your enterprise data primarily on Oracle database. Moving to in-memory on Exadata is like a switch option and choosing which data you want in memory.
You want to start small but have big plans: Exadata is pre-configured, saving you months of configuration, performance tuning effort and can give you instant ROI irrespective of size of your enterprise. You can get a Quarter rack if you want to start small and get all the benefits. Scale to Half, Full and Multi-Racks as your enterprise and requirements grow.
Improve Reliability and Availability: Your Bank needs to ensure that you properly manage, store and protect Terabytes or PetaBytes of customer data reliably. When availability and reliability of customer data is a top priority for you, consider Exadata to protect your business from planned and unplanned outages. Fewer or no outages mean fewer IT support calls and more satisfied customers.
Ensure Quality of Service by Optimizing resource usage: Do you want your customer facing applications to be most responsive and given extra resources? Exadata helps you manage and prioritize workload against available resources from CPU to Network to Storage. It allows business to define how the resources should be used for applications. It is seen that with Exadata workload prioritization organizations can support almost 4 times more databases in the same hardware.
Compress large datawarehouse and archived data: If you are a large bank with datawarehouse or archival data growing to unmanageable sizes, Exadata can help in reducing the storage requirements and also increase performance by reducing I/O with compressed data with its Hybrid columnar compression feature. One of the banks recently deployed Oracle Exadata Database Machine to reduce the size of the global trading data warehouse from 40 terabytes to less than 8 terabytes
Supportability from Oracle and partners: Because Exadata is pre-configured and deployed Exadata systems look alike, Oracle’s has an incomparable ability to monitor, maintain and support Exadata. This enables Oracle to offer Platinum Support. Oracle Advanced customer services, Oracle Consulting services and Oracle Financial Services Primesourcing help move customers from Oracle and non-Oracle databases to Exadata with reliability. And, because it all comes from Oracle—from the hardware all the way to the software—you get full end-to-end support, so there’s no finger-pointing between vendors, with the customer stuck in the middle.

Exadata performance manifests itself in many ways delivering clear benefits to various lines of business within a bank – from providing business agility to simplifying IT and allowing customers to work faster and smarter with real time business intelligence and highly available and responsive transactional applications.

When are you moving to Exadata?

Reshmi R (Kurup) is a Solution Architect for Oracle Financial Services Consulting. She can be reached at reshmi.kurup AT