The Profound Range and Reach of RPA in the Digitally Transforming Enterprise

November 14th  2018
Infogain & Automation Anywhere joint Roundtable
Hyatt Regency, Santa Clara
11AM-2PM PST

In this era of limitless possibilities, enterprises are changing their operating models to ones that incorporate digitization opportunities that leverage automation. Driven by advancements in the RPA space, Robotic and Cognitive Automation replicates human actions and judgement at tremendous speed, scale and quality at a lower cost.

Join us for a lively discussion debating how RPA implementation strategies drive tangible business outcomes. Learn from technology experts, industry influencers and your peers, as we discuss:

  • Key topics of RPA led enterprise transformation, enterprise adoption and industry trends.
  • RPA experiences, challenges and success stories
  • Strategies for defining the RPA roadmap from Rule based operations to Cognitive.

Agenda highlights:

  • Topic for the event “The Profound Range and Reach of RPA in the Digitally Transforming Enterprise”
  • Keynote by Anubhav Saxena, EVP, Partnerships, Strategy & Operations at Automation Anywhere.
  • Presentation by Shyam N, Head- Enterprise Automation at NetApp.
  • Presentation by Gans Subramaniam, VP & Head Digital Solutions Infogain.
  • Moderator-led discussion and case studies
  • Lunch & Networking

If you are an IT Automation expert , business head, senior executive or IT leader driving technology-related initiatives within their organizations, click here to register

Meet our Team at GITEX

October 14-17, 2018
38th GITEX Technology Week
Dubai World Trade Centre

Make plans to meet Mukesh K. from Infogain team at GITEX, the fastest growing technology hub event at Dubai World Trade Centre in Dubai. Schedule time to speak with our team to learn how Infogain can accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, microservices, robotic process automation and artificial intelligence in your organization.

Conference information: https://www.gitex.com

Schedule a meeting: Events.India@infogain.com

Meet our Insurance Team at the Guidewire Connections 2018 Conference

October 14-17, 2018
Guidewire Connections 2018
Wynn, Las Vegas, NV

Meet our Insurance team in Las Vegas and learn how our Automation Testing for Guidewire leverages Infogain’s accelerators, open source tools and existing Guidewire assets to maximize your investment.

Our team has over 13 years of P&C expertise and dedicated insurance professionals with Guidewire expertise. We deliver high-end automated solutions for multiple business lines across Guidewire InsuranceSuite™ that include:

  • Out-of-the box automation across Guidewire InsuranceSuite™
  • Full support for API and integration points to external systems
  • End to end scenario testing, including cross product use cases
  • Integration to standard DevOps tools

Conference information: http://www.cvent.com/events/connections-2018/event-summary-a5fabd22a85b46d4bb5fa2eb563d23ad.aspx

Contact us at GuidewireSolutions@infogain.com to schedule a meeting time with Girish Kannalli, VP & General Manager and James Patterson, Solution Head for Guidewire.

Infogain & IDC Roundtable: “Platforms and Cognitive: Transforming QA Engineering Technologies, Roles and Expectations”

October 18, 2018
IDC & Infogain Roundtable
Gaylord Texan Resort, Grapevine, Texas
3pm – 6pm CDT
Architecture patterns are changing in NextGen software platforms with the adoption of Microservices, Containerization, Cloud Native designs, API integration and Auto-Scaling Cloud Infrastructure-as-Code.  In this session, we will discuss how Quality Assurance is embedded in dev, test and deployment, with greater focus on automation and use of cognitive approaches.

Event participants will discuss and debate key topics including QA Transformation, benefits of test automation, cognitive technologies, enterprise adoption and industry trends. In addition, they will learn from technology experts and influencers regarding the successful implementation of QA process and technologies.

  • Agenda Highlights
  • Keynote by Peter Marston, Research Director IDC
  • Presentation by Nishith Mathur, Chief Solutions Officer & Ramandeep Singh, Global Head- Quality Assurance, Infogain
  • Sharing Sabre Point-of-view by Andy Munns, Senior Director, Sabre Travel Network
  • Case studies and open discussion
  • Cocktails and networking

If you are a senior Testing practitioner and IT leader driving technology related initiatives within your organization, contact events.us@infogain.com to reserve your spot.

Meet our Insurance Team at the Mitchell 2018 mPower Conference in Palm Springs

October 1-3, 2018
Mitchell 2018 mPower Conference
La Quinta Resort & Club, CA

Meet our insurance team at the conference and discover intelligent and powerful automation. Ask about our Guidewire expertise and Infogain’s Unified Automation Platform (UAP).

We can help you achieve reduced cost of ownership with our automation accelerators, tools and processes. Infogain delivers high-end automated solutions for multiple business lines across Guidewire InsuranceSuite.

Conference information: https://www.mpower.mitchell.com/event/mitchell-2018-mpower-conference/

Let’s Connect:  Contact us at GuidewireSolutions@infogain.com to schedule a meeting. Let’s discuss how Infogain’s Automation Testing Pilot Program for Guidewire can maximize your investment.

Delivered significant savings in license cost and test execution effort for a product engineering company

The Client

The client develops software used by the automotive industry to manage Collison and medical claims, replacements and so on. It operates throughout the United States and Canada and processes more than 50 million transactions a year.

 

Business and Technical Challenges

  • Long test cycle of 3 weeks negatively impacting time-to-market
  • Production issues for a desktop product used by large number of users led to huge support and patch fix cost
  • Lack of scalable test automation platform
  • Heavy dependence on Licensed Microsoft Test Automation tools
  • Lack of reusability of test automation scripts between scrum teams and system t
    esting teams
  • Manual testing wasn’t able to validate all data combinations leading to a high production defect backlog

TechGig & MapMyIndia Boardroom Dialogue

TechGig, India’s largest tech community and MapMyIndia, India’s leading geo tagging-based service provider, hosted an exclusive Boardroom Dialogue on Aug 23, 2018 in Gurgaon. The purpose of the event was to discuss the optimum use of location intelligence for FMCG domain. Dr. Hemen Goswami, VP Solutions at Infogain, participated as a panelist at the round table event which highlighted how location intelligence can become a crucial competitive advantage for FMCG/Retail & Healthcare companies in the future. Upakul Barkakaty, the head of Infogain’s mobility practice, participated as well.

About MapMyIndia

MapMyIndia is India’s leader in premium quality digital map data, APIs, GPS navigation, telematics, location-based SaaS and GIS Solutions. MapMyIndia’s offerings include:

  • Map data solutions with cutting-edge location technology products and solutions in the areas of Navigation, Tracking, IoT and Analytics for products, services and solutions
  • Fleet Tracking & telematics which allows the monitoring of location, movement, status and behavior of a vehicle or a fleet of vehicles.
  • GeoAnalytics & Decision Support, using location knowledge to frame marketing efforts by adding location intelligence to business analytics provided valuable insights into where to pitch, open a new branch, penetrate a new market.

The main focus of the event was about applications within India with examples of how retailers use MapMyIndia’s offerings for inventory replenishment and location, personalization, and location-based marketing campaigns.

Other location-based intelligence approaches that help businesses in India were discussed as well, including Unified Commerce, a business design that that leverages the integration of retail processes and systems to provide full transparency of consumers on the back end and seamless customer experiences on the front end, regardless of the journey taken to make a purchase.

“Retailers are making a transition from Omnichannel to Unified Commerce,” said Infogain’s Hemen Goswami, “Omnichannel talks about integrating brick and mortar but still at the backend it is diverse enterprise systems.  Unified commerce applies omnichannel to the system environment. The primary focus is to leverage data, captured from distributed sources and multiple channels, to ensure that the end consumer’s experience achieves precedence over everything.”

“An excellent example of Unified Commerce, outlined by Justin Guinn of Software Advice, a Gartner Company, looks like this:”

On the back end:

  • A Retailer tracks customer’s movement throughout the store. RFID tags, shelf labels and perhaps even computer vision and other sensors communicate with a newly designed consumer app on the customers’ phone.
  • Retailers can record products that a customer looks at, picks up and even carries around but doesn’t purchase. Interaction with these products will be stored with previously in-store and online interactions.
  • Past recorded interactions with similar products will prompt a targeted social campaign that features the product(s) in question in an Instagram post. The post includes a link to purchase that opens the retailers’ app to the checkout screen with the item in customers’ cart.

On the front end:

  • Customer revisits a physical store, browsing products on shelves while looking at special in-store deals featured in the store’s app.
  • Customer picks up a few products, even carries one around for a while, but doesn’t make a purchase.
  • While browsing Instagram later in the same day, the customer sees an ad for the product that was almost purchased. There’s a link in the text of the Instagram post stating the customer can get the product for 10 percent off the store price by clicking the included link.
  • Customer clicks the link in the Instagram text and it prompts the retail store’s app to open. The app opens directly to the checkout screen and features the product in question already in the cart. Related items are listed below that can be added to the cart with one click.
  • The customer adds two of the related products to the cart and purchases them with the original product in question. The customer receives a message on the store’s app confirming the purchase and asking if the customer wants to receive a 5 percent-off coupon for use in-store by sharing a notification about the purchase across social channels or directly to contacts.

While intelligent location-based processes for marketing and operations are promising, executives at the Board Room Dialogue discussed the challenges that exist:

  • Internet connectivity issues, particularly in smaller (“tier 2”” and “tier 3”) cities in India.
  • Location information that comes in a convoluted form.   In broad terms, retailers need to obtain the location information, then link it to their customer records, then get insights, then use the insights, then execute targeted actions accordingly.
  • The struggle to use data to get intelligence.  Proper data modeling is needed, as well as data scientists who can use the data to build the intelligence.
  • Determining which devices to use to capture location information, including electronic GSM devices, Radio Frequency Identification (RFID) tags and receivers, GPS satellites.
  • Standard governance.  Location is closely connected to IoT, and location info comes from IoT devices.  We must insure privacy and make sure that government regulations are respected properly.

The event was a great opportunity for participants to collaborate with C-Suite executives and thought leaders from the leading FMCG/Retail & Healthcare industries about driving growth factors, process innovation and technology adoption for tapping growth in both urban/ rural markets.

Infogain’s Unified View platform enables Data convergence and data regulation in conjunction with IoT and location-based solutions. Contact us to learn more.

Microservices: 5 Challenges and How to Solve Them

By : Mohit Kumar Mittal | Senior Architect and Hemen Goswami | Vice President

Introduction

Microservice is an architecture that has been gaining traction in the past few years. MSA (Microservice Architecture) defines an application as a program composed of loosely coupled services. This comes with lots of challenges that we must solve up front.  Below are some such common challenges, patterns to solve, and some potential technical solutions.

Challenge #1: Service Discovery and Registry

Microservices is an architecture style for distributed computing. An application is composed of multiple fine grain independent services that communicate over a network. To use a service, the consumer needs to know its specific network location. This is an issue that will grow even more complex if the network location of services keeps changing.

Some examples of consumers of services are external clients like Mobile App, API Gateway and other (Micro) services.

Recommended Solution

System designers should implement a service Registry and a database of all the services network locations. They can register services themselves or by way of a third party to a common registry. Consumers can use this service registry to dynamically discover network locations of services.

Technical Implementation

Netflix Eureka service registry, Kubernetes Service

Challenge #2: Unified Access of Services

In Microservices architecture, there can be multiple services and multiple consumers. Different consumers may require different services—for example, Mobile App may need to display fine grained information, while web-based applications may need to render coarse grained information.

On top of that, services may be using different protocols like JMS or REST etc. In order to simplify services access, there needs to be a unified access mechanism.

Recommended Solution

A potential solution to this concern would be to implement an API gateway as a single-entry point for all services. All the consumers will call API gateway and API gateway should route them to their required services. Additionally, API gateway can provide services like “Aggregation of Services”, “Security”, “Metering” etc.

Technical Implementation

Spring Cloud Zuul, Amazon API Gateway, Apigee

Challenge #3: Authentication and Authorization

Security is a key aspect in Microservices.

Recommended Solution

Implement a common and centralized authentication service. This service will allow all the consumers to get authenticated before seeking a services access. Individual services should be responsible for the authorization of its consumers.

Technical Implementation

oAuth, JWT

Challenge #4: Logging and Debugging

In a Microservices architecture, there can be use cases that span across services. In a scenario in which each service generates its own logs, it would be nightmare for a developer to troubleshoot a bug, as he/she would have to aggregate all the services log and analyze manually

Recommended Solution

One could instead implement a common logging service, wherein each service can use this service to write logs.

Technical Implementation

Elastich Serach, LogsTash, Kibana (ELK)

Challenge #5: Configuration

Configuring services is an added complexity in Microservices. Since each service is independent, it must be configured separately. This will make it difficult to run applications in different environments without making adjustments. Configurations can be anything like DB Credentials, Environment Variables and Network Locations.

Recommended Solution

Implement a common/centralized configuration service. This service can be backed by a common configuration repository so that all services can request this service to read configurations.

Technical Implementation

Spring Cloud Config Server , kubernetes configmap

How to Optimize Price without Marginal Loss for SKU’s with a shorter shelf life

The shelf life of a product is a length of time an SKU can be stored on shelf without becoming unfit for use. Retailers commonly use the strategy of “Stock Rotation and Rationalization” — moving the SKU’s with the earliest sell dates so that shoppers pick them before the expiration date without any loss to the retailer.

Sometimes it becomes necessary to sell the slow-moving SKU’s with a shorter shelf life at a lower price point to increase the velocity of SKU.

When a SKU/Product Line is sold at a lower price point or a discounted price, it results in a Marginal Loss to the retailer. For retailers, coming up with maximum possible discount without incurring a Marginal Loss is a challenge.

Infogain’s Analytical Approach

Co-efficient Estimate for price variables

(Co-efficient = Delta Y / Delta X) Step 1: Co-efficient Estimation
Based on the distribution of the data, the appropriate Statistical Equation is applied to the data to estimate the co-efficient of price Variables.:

Y = Velocity of a Product Line of perishable Product Line/List of SKU

  1. X1 = Discounted Price (Percent)
  2. X2 = Relative Regular Price Index (Our price / Competition regular Price) +
  3. X3 = Digital Media+
  4. X4 = Seasonality
  5. X5 = Non-Digital Media
  6. X6 = Competition Media
  7. X7 = Any Other Macro / Micro Factors

Key Factors of the Co-Efficient Price Equation

  • The Non–Price variable data will help in estimating the co-efficient of Price Variables accurately.
    If Non–Price data is not available; the equation will be run with price variables alone.
  • The contribution to revenue other than price will be attributed to Base.
  • In order to accurately simulate a scenario with an optimal discount without any marginal loss, it is critical to measure the influence of all factors (including competition and media). Based on the category and market, seasonality could be removed from the data if it is not provided.

Infogain’s Price Optimization to estimate Optimal Discount

Infogain’s Algorithm uses the co-efficient obtained from the co-efficient estimate for price variables equation, running Optimization to arrive at an optimal discount price point based on Marginal ROI Analysis:

  • Marginal ROI at a time (t2) = Delta Total Value Sales (t2-t1) / Delta Total Cost (t2-t1)
  • Total Revenue at a time (t) = Total Units sold at a time (t) * Selling Price at time (t)
  • Total Cost = Total Units Sold * Marginal Cost.
    Marginal Cost = Cost of producing one additional unit of product
  • Delta value sales = Values sales at 30% discount rate minus value sales at 25% discount rate

Although the Volume Sales will go up with the increased discount, Value Sales won’t necessarily go up as well.

Infogain’s Optimization Approach Illustrated

Optimization: Mathematical Linear Programming and Optimization

Objective Function: Minimize the Delta Value Sales

Variable: Discount Percent

Constraint: Marginal ROI should be equal to 1

Optimal Discount Percent based on Marginal ROI Analysis = Discount percent 15%
Discount Percent Point without incurring Marginal loss = 30%
Any Discount beyond 30% will lead to Marginal loss

Infogain’s Value Addition—Scenario Planning for data driven decision making

  1. BASE SCENARIO:

What is the base /current scenario? Marginal cost and profit evaluation of current Situation

(Are you currently below optimal Discount or above Optimal Discount or incurring loss? Or is there any scope of improvement)

  1. SCENARIO WITH OPTIMAL DISCOUNT RATE:

What is the Optimal Discount Rate? (15 % as seen above)

  1. MAXIMUM DISCOUNT RATE WITHOUT INCURRING MARGINAL LOSS:

What is the highest possible discount rate that can be offered without incurring marginal loss? (Ex. Scope to increase discount rate up to 30% as seen above)

Assumptions and Complexities

  1. According to the Managerial Microeconomic price-demand theory, price and demand always has an inverse relationship. With a decrease in regular price (increase in discount rate) an increase in demand is observed.

This relationship is mostly linear in nature.  Infogain has suggested Linear Programing for optimization based on the Domain experience, managerial economic price demand function theory and APAC Market Knowledge. If we don’t see a linear relationship between price and demand, however, an appropriate non –linear programming will be applied for Optimization and statistical equation based on trend observed in the data.

  1. Seasonality factor can be extrapolated by Infogain if not provided.
  1. Assumption is made that media and competition data will be available to estimate co- efficient of price accurately

Conclusion

The Marginal ROI Model is used for solving many computational financial problems ranging from Option Pricing to investment decisions such as cost minimization and profit maximization. Several Marketing and Consumer Packaged Goods (CPG) companies have adopted the Marginal ROI Analysis for best pricing in order to achieve Maximize Profitability.

Linear programming Marginal ROI Model can help retailers select the best possible discount strategy for perishable goods without incurring any marginal loss . The Scenario planner can help them evaluate the marginal cost vs profit of various discount alternatives. The Model can also help retailers forecast profitability for future.

To learn more about the Infogain’s  Linear programming Marginal ROI Model, contact analytics@infogain.com.

About Infogain

Infogain is a global business-oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clients’ interactions with their customers to be fast, efficient, and cost effective.

With close to 4,000 employees in the United States, India, the Middle East, U.K., Singapore and Malaysia, we service 5 of the world’s largest 50 companies, and 24 of the Fortune 500. we have million-dollar engagements with over 25 customers, many of which have been with us for 5 years or more.