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Developing new IT Strategy for Big Basket
- 1. IT STRATEGY BIG BASKET Guided By: Prof. Michael Parfett Team 1 Akshay Agrawal Utkarsh Agrawal Anandu Anilkumar Shraddha Barde Shefali Chhabria
- 2. What is Big Basket? 2Shefali Chhabria
- 4. Problems ďľ Rising costs to maintain hardware in a growing application environment ďľ Use of old antiquated hardware (out of support: Eg: Windows 2003 servers) ďľ Need to effectively utilize unstructured and structured Big Data information ďľ Network issues, website with delay and latency in accessing any of the pages 4 Shefali Chhabria
- 5. Strategic Solution ďľ Improving Network infrastructure, creating cloud computing environment and cost effective ďľ Removing in-house storing using AWS Cloud computing which is the on-demand delivery of compute power, database storage, applications, and other IT resources ďľ Using a cloud services platform via the internet with pay-as-you-go pricing. 5 Shefali Chhabria
- 9. Purpose of the Big Basket ďľ It saves time. Shopping online alleviates the need to walk up and down store aisles. You can log in any timeâeven at 2 amâand still have the advantage of a fully stocked store. Plus, going the delivery route saves you a trip to the store, which not only saves time, but money as well. ďľ Price ďľ Convenience ďľ Service ďľ Product variety 9 Shefali Chhabria
- 10. Industry ďľ Public Sector ďľ Technology ďľ Retail Stores ďľ Manufacturing Products 10 Shefali Chhabria
- 11. Size, growth rate, outlook 11 Shefali Chhabria
- 12. Customers 1. The Millennial Consumer: They are known for being on the go, social and tech savvy. They are also looking for a good deal and want to eat healthy. 2. The Health Conscious Consumer: Nutrition continues to be a strong influence in shopper marketing, not just with the Millennial group, but across most consumer groups. 75% of consumers choose which store to do their shopping based on the storeâs produce department. 3. The Budget Conscious Consumer: Loyalty program discounts, mobile coupons and personalized email coupons to win shopper loyalty. 15% of shoppers obtain coupons online and print at home, while only about 4% redeem direct mail coupons. 9% of mobile users are using their phones to find coupons while in store. 12 Shefali Chhabria
- 14. Corporate strategy ⢠Create Financial Flexibility ⢠Increase the profitsMission ⢠Connect using the cloud ⢠Reduce latencyVision ⢠Improving the customer satisfaction ⢠Utilizing the resources efficientlyObjective ⢠No more old antiquated hardware ⢠Excellent quality of networkValue Statement ⢠AWS development environment ⢠Analyzing and organizing the informationStrategy 14 Shefali Chhabria
- 16. Business strategy ⢠Predictive search function using customer information ⢠Developing efficient websiteMission ⢠Expanding the business to remote areas ⢠Increasing the product diversityVision ⢠Reorganizing the brand name ⢠Focusing on managing customer dataObjective ⢠Increased range of customers ⢠User friendly websiteValue Statement ⢠Hiring more tech developers ⢠Using data to predict customer requirementsStrategy 16 Shefali Chhabria
- 18. IT STRATEGY MISSION Big Basket aims to use Amazon web services to automate the network and slide all the data storage into the Cloud for increasing the efficiency in data storage and management VISION Be the largest food and grocery store for helping customers in every corner of India 18 Shefali Chhabria
- 19. IT STRATEGY Objective Big Basket aims Speed of Innovation and Delivery along with Real-time analytics, big data, machine learning and modeling. Value Statement Increase in speed since all the data will be on Cloud, IDENTIFICATION + CONVERSION + REALIZATION = IT VALUE Strategy Growing information, Reducing physical storage, Increasing the processing power 19 Shefali Chhabria
- 20. IT STRATEGY: AMAZON WEB SERVICE 20 Shefali Chhabria
- 22. IT Strategy Alignment Life Cycle Management ďľ Integrate cloud platform by excluding external sources of data to gain better customer insight ďľ Deploy additional use cases one at a time to contain risks and costs ďľ Ensure Support of stake holders at all levels Change Management ďľ Assemble a strong cloud computing team to avoid business disruptions ďľ Ensure participation from both Business and IT ďľ Develop efficient Communication plans - involve all employee levels Value Management ďľ Provide standardized Metrics at top level management to track benefit realization Information Management ďľ Circulate to all employees and stakeholders (i.e. Communication Plan) ďľ Create information technology infrastructure to support and manage the cloud environment 22 Shefali Chhabria
- 23. 5 Pâs of the IT Strategy 23 Shefali Chhabria
- 24. Mintzbergâs 5 Pâs Strategy 24 Pattern ⢠Removing in-house Storage of data ⢠Acquiring online market ⢠Consolidate global environment Position ⢠Indiaâs largest online food and grocery store ⢠Pan-India presence in about 30 Indian towns and cities ⢠Vast customer base of 6 million Ploy ⢠Compete on price by giving discounts and deals online ⢠Target the right customers ⢠Market monopoly Perspective ⢠Constantly improve other businesses ⢠Maintain a balance between innovation and reputation ⢠Outsourcing +in-house food development Plan ⢠Build a cloud computing environment ⢠Development of resources ⢠Expand business opportunities ⢠Acquire new competencies ⢠Build a website without any delay and letency Shefali Chhabria
- 26. The use of Information Management Develop an IM policy â˘A policy outlines the terms of reference for making decisions about information â˘Provides guidance for accountabilities, quality, security, privacy, risk tolerances, and prioritization of efforts for IM Articulate operational components â˘Components of IM Operations â˘Strategy â˘People â˘Processes â˘Technology and Architecture â˘Culture and Behaviors â˘Governance Establish information stewardship â˘Clearly articulate IM roles and responsibilities â˘Information stewards are responsible for meaning, accuracy, timeliness, consistency, validity, completeness, privacy and security, and compliance of information Build information standards â˘Standards ensure quality, accuracy and control goals can be met â˘Use metadata repositories to cross-reference models, processes, and programs that reference information â˘Standards help reduce information redundancy 26 Shraddha Barde
- 27. Use of Master Data Management 27 Shraddha Barde
- 28. Use of Big Data and social media 28 Shraddha Barde
- 29. Improve customer experience â Smart Basket 29 Improve Products and Services ďWith deep analysis of customer feedback, product updates and innovations can be driven by consumer insight. Patterns will become more evident. Consistency a nd reliability ďDelivering products and services that constantly perform over time, and as promised. Earlier Identification of Problems ďBy using Big Data as a strategy to gather customer feedback we can now analyze many more data sources to begin to discover issues and problems sooner than previously. Respon d more quickly to the market because of faster more knowledgeable decision making. Build More Impactful Marketing Campaigns ďCustomer data will help create marketing campaigns and messaging that resonates with our target audience. This will improve brand awareness. Shraddha Barde
- 30. Business IT Relationship â˘Gain trust by providing valuable solutions â˘Constant communication between IT and business will increase trust. ⢠Build mutual trust â˘Encourage interaction at all levels â˘Development should be on time and within budget â˘Delivery wrt compliance needs and targets â˘Establish leadership business touch points and intermediate milestones â˘Importance should be given to innovation â˘Business expansion should be leveled with depth of business â˘Business metrics such as ROI can become success criteria Competence Credibility Trust Leading to Value Intepersonal Interaction 30 Shraddha Barde
- 31. Compliance impact and needs 31 Shraddha Barde
- 32. Compliance impact and needs 32 â User passwords â Two-factor authentication â Terminal access â Data in transit needs to be RSA encrypted / SSL protocol tobe used. We respects and are committed to protecting customerâs personal information. Our privacy statements reflect current global principles and standards on handling personal information â notice and choice of data use, data access and integrity, security, onward transfer and enforcement/oversight. â Communication to the customer needs to be legally approved on the content and frequency of touches. â Upsell of products need to be consented by the customers. Shraddha Barde
- 34. IT Governance ďľ Refers to creating accountability in the organizations model such that a clarity is established between the business goals and IT strategy. ďľ The strategy should be designed in such a way that it should be properly aligned with the business strategy. ďľ IT Governance should always incorporate these 5 components. 34 Anandu Anilkumar
- 35. IT Governance 35 1. Strategic Alignment: All the strategies in the organization should be aligned with the cumulative organizational goals. 2. Performance Management: Performance of the all the employees and other crucial projects should be monitored and documented. 3. Resource Management: Allocation of resources in IT should always align with the strategy in hand and organizational vision. 4. Value Delivery: Value for money is a key factor in every customerâs mindset. The IT strategy used for achieving the goals should also be chosen such that it yields highROI. 5. Risk Management: This includes analysis of the risk ie; risk impact and likelihood. It also deals with strategies for risk management Anandu Anilkumar
- 36. Risk Management Risk management is the process of systematically identifying, assessing, and providing for risks 36 RISK EVENT LIKELIHOOD IMPACT AWS SERVICE LIMIT MEDIUM LOW LACK OF EMPLOYEE KNOWLEDGE MEDIUM HIGH SUPPORT FEE LOW LOW DOWNTIME MEDIUM HIGH Anandu Anilkumar
- 37. Risk Management Strategy 37 1. Avoidance: Refers to elimination of threat by elimination of the cause. If an AWS service is not available for a particular deliverable, depending on its impact we can skip the particular deliverable. 2. Mitigation: Refers to lowering the probability of occurrence of the risks. This is carried out by choosing only the AWS provisions that are effective and helps in improving storage efficiency. 3. Transfer: Refers to passing the responsibility of dealing with the risk. It includes having a backup virtual storage or even a physical storage in case of emergency. 4. Acceptance: Refers to proceeding with the plan knowing the risk might occur. But this strategy require swift and effective contingency plans. Anandu Anilkumar
- 40. Communication Plan 40 For an effective communication plan: 1. Perform a situation analysis. This has ⢠Brainstorm with communication staff. ⢠Conduct surveys and focus groups. ⢠Talk to other departments in your company. 2. Define the objective. The objectives: ⢠Specific ⢠Measurable. ⢠Achievable. ⢠Realistic. ⢠Time-focused 3. Establish Timetables 4. Evaluate the results. This includes ⢠Annual reports. ⢠Monthly reports. ⢠Progress reports Anandu Anilkumar
- 42. As Is - To Be Analysis As Is To Be PHYSICAL SERVERS CLOUD SERVERS No uptime or recovery time guarantees. If multiple servers go down, it is a major risk requiring additional hardware and redundant physical servers. Full data recovery could prove very time- consuming and impactful on systems. Protected in the data centre. Only the administrators have access to that area. Threat of data compromise exists with thousands of people on the cloud. Can be requested by the provider for a separate server. Offers limited flexibility. Though can be configured or customized with increased hardware and cost. Increased flexibility with infrastructure. Downtime is very high. Hardware management requires more time and suffers huge cost. Provides increased uptime as server uptime is part of lease contract and high levels of service provided. 42 Utkarsh Agrawal
- 43. As Is To Be PHYSICAL SERVERS CLOUD SERVERS Downtime is very high. Hardware management requires more time and suffers huge cost. Provides increased uptime as server uptime is part of lease contract and high levels of service provided. Maintenance costs are high. Requires suitable environment with risk of heat, dust and damage. Maintenance costs are very low. Can be effectively designed and architected according to requirements. Requires large space Instant access to an almost limitless pool of computing resources. Difficult to manage and move. Does not allow control on hardware and data. 43 Utkarsh Agrawal
- 44. Porterâs 5 Forces 44 Competitive Rivalry (High threat) 1.Diverse Competitors 2.Rate of Growth 3.Size of Competitors New Entrants(Mediu m Threat) â˘Switching Costs â˘High Initial Costs â˘Company Identity â˘Market Penetration Suppliers (Low threat) â˘Size and number of suppliers â˘Differentiation of Inputs â˘Volume of Suppliers Substitutes (High Threat) ⢠Cost of switching ⢠Quality of alternates available Buyers (Medium Threat) â˘Identifying various key factors like performance and quality â˘Exploring substitutes Utkarsh Agrawal
- 45. SWOT Analysis for physical server STRENGHTS â˘A lot of cost savings can be done. â˘Time Saving â˘More flexibility â˘Faster recovery WEAKNESSES â˘Dependent on the underlying physical machine. â˘Performance degradation â˘Licensing Limitations OPPORTUNITIES â˘Allow business in newer systems that are server intensive and specific to certain hardware. â˘Ability to gain new business. THREATS ⢠Environmental issues with recycling old hardware ⢠Loss of space contract or capital to acquire newer hardware ⢠Breach or attack on data center, need to increase security 45 Utkarsh Agrawal
- 46. SWOT Analysis for Cloud 46 STRENGHTS â˘Managing efficiency â˘Saving of space and resources â˘Higher Scalability â˘More robust â˘Greater adaptability â˘Lower costs involved WEAKNESSES â˘High cost of data recovery â˘Limited data storage â˘Internet required 24/7 â˘Time consuming for data recovery OPPORTUNITIES â˘Expansion of product offerings with new hardware availability. â˘Automation and removal of human intervention for certain tasks. â˘Update with newer technologies and virtual machine templates. THREATS ⢠Technical failure at host site (cloud). ⢠Identity theft. ⢠Economic slowdown causing losses due to dependency ⢠Closure of cloud vendor services ⢠Provider hacks or privacy breach Utkarsh Agrawal
- 47. Super Swot Analysis 47 â˘Higher scalability due to expansion of product offerings â˘Managing efficiency by automation â˘Update the current servers by adapting newer technologies â˘Update with newer tech to delimit data storage â˘Less time consumption of data recovery by expansion of products â˘Add more layers of security to avoid identity theft and privacy breach â˘Host own cloud servers to avoid no activity in case of technical failure at host site â˘Economic slowdown should not be a reason to worry as there are lower costs involved here. â˘Internet and technical failure should not be of worry if everything is in- house. STRENGTHS OPPORTUNITIESTHREATS WEAKNESS Utkarsh Agrawal
- 48. Ansoff Matrix Market Penetration â˘Gaining competitive advantage by virtualizing â˘Better services to existing customers â˘Increased market share â˘Cloud servers for small businesses Product Development â˘Advantages â˘Data Protection â˘Replication â˘Better Storage Market Development â˘Strategy is to shift complete data on cloud servers â˘This has huge investments in new technologies and data centers â˘With this, it becomes lot more efficient and cheap Diversification â˘Using Amazon AWS â˘Elastic web scaled computing â˘Completely controlled â˘Reliable and secure 48 Existing Products New Products Existing Markets NewMarkets Utkarsh Agrawal
- 49. Market Analysis and Demand ďľ Worldwide server revenue went up by 16 percent in the last year due to strong demand for cloud services ďľ Sale of Unix servers declined -- with shipments down 23.5 percent and revenue down 18.3 percent -- x86 servers increased 5.3 percent in shipments and 16.7 percent in revenue over the same quarter last year. 49 Utkarsh Agrawal
- 51. Design Stages 51 Defining Design Attributes Evaluating Design Concepts Implement the design Performance Improvement Performance Measurement Anandu Anilkumar
- 52. Design Stages 52 ⢠Defining Design Attributes: ď Identify the key customers of the service. ď Determine the needs that customers expect the service to fulfill. ď Prioritize the needs in order of importance. ď Determine the most important attributes. ⢠Generating and evaluating design concept: ď Define the key functions needed to provide the service. ď Assemble these functions into processes. ď Document these processes using flow charts ď Evaluate and select a concept for detailed design Anandu Anilkumar
- 53. Design Stages 53 ⢠Implementing the design - ď Develop implementation project plan, development plan, communication plan and service plan. ď Implement all the plans. ⢠Measuring performance- ď Select key attributes to be analyzed. ď Measure performance of attributes relative to standards. ď Measure efficiency of key processes ď Perform any corrective active, if necessary ⢠Improving performance - ď Estimate relationship between financial objectives and overall satisfaction. ď Evaluate the benefits and costs of different improvement alternatives. ď Set strategic satisfaction targets Anandu Anilkumar
- 55. Technology Roadmap Use cloud for web hosting Utilization of analytical capabilities 55 Present Future Shraddha Barde
- 56. Enabling analytical strategy 56 Shraddha Barde
- 57. Data Management ⢠Data collection & creation ⢠Data integration, mashing ⢠Information management ⢠Scaling ⢠Physical storage & cloud options Visualization ⢠Executive dashboards ⢠Granular drill down ⢠Real time transactional ⢠Sharing & collaboration Data Science ⢠From simplest to most sophisticated ⢠In-house vs. service ⢠Scale, variety & complexity ⢠Time to market Integration ⢠From concept to production ⢠Enabling business processes and downstream business applications ⢠Collecting feedback ⢠Time to market ⢠Operating models & governance Technology Roadmap 57 Shraddha
- 59. 59 ⢠Amazon Web Services EC2 ⢠Cloud computing experts ⢠Local Merchants ⢠Warehouse partners ⢠Employees ⢠Management ⢠Stakeholders ⢠Payment processing merchant ⢠Joint ventures ⢠Strategic alliance ⢠Cost reduction ⢠Easy management ⢠Easily scalability ⢠Improved speed and performance ⢠Almost no downtime ⢠Faster customer service ⢠On demand supplies with convenience ⢠AWS subscription ⢠Data analytics ⢠Product development (web+App) ⢠Warehouse maintenance ⢠Timely delivery ⢠Employees ⢠AWS developer ⢠Reliable network ⢠Brand/Culture ⢠Office space ⢠Customer care support ⢠Blogs ⢠Newsletter ⢠Discount & Offers ⢠Social Media ⢠Website ⢠Mobile Apps ⢠Word of mouth ⢠Multi product sales Mass Market Local vendors Tech savy population Diversified individuals Students Young professionals Salaries â AWS developer, website/mobile app developer, UX developer Hardware/Software expenses, storage + logistic cost, product procurement cost Merchandise sale, store sales, delivery charges, sales commission from local retailers, sponsored content, feature listing Shraddha Barde Business Model Canvas
- 60. Business Model Alignment Develop expertise: o AWS integration o Tech. platform o Operation o Research & Development o Data Management & analytics Be a differentiator: o Personalized, customized experience customers o Insightful data analytics o Lowest churn in the industry o Work with local company o Secured payment and delivery options 60 Shraddha Barde
- 63. 8 pâs of service marketing 63 â Product â People â Physical Evidence â Process â Promotion â Place â Price â Productivity and Quality Akshay Agrawal
- 64. Value proposition ď By using aws technology in big basket we would be able to store the data more securely and effectively on cloud. ď Customer Satisfaction would be there because the website would be easily accessible. ď Most of the competitors of big basket are not using aws technology. 64 Akshay Agrawal
- 66. Customer Satisfaction & Loyalty ď Customer Satisfaction is a measurement of customer attitudes regarding products, services, and brands. ď Customer Loyalty on the other hand has two definitions. ď Customer Loyalty consists of loyalty behavior (also referred to as customer retention) which is the act of customers making repeat purchases of current brands, rather than choosing competitor brands. ď Secondly, Customer Loyalty encompasses loyalty attitudes which are opinions and feelings about products, services, brands, or businesses that are associated with repeat purchases. 66 Akshay Agrawal
- 70. Revenue Predictions Revenue 2018 2019 2020 Customer Increase $ 3.5M $ 7M 100% increase from prior year $ 10.5M 50% increase from prior year New product offerings $ 4M $ 5M $ 6M Total per year $ 7.5M $ 12 M $ 16.5M Total â 3 years $ 36M 70 Shraddha Barde
- 72. Customer Service Strategy ď Putting the âcustomer firstâ has to be anchored from the top ď Reward people for the right behavior ď Hire and train the right people ď Follow through on your promises 72 Akshay Agrawal
- 74. Delivery Options ď In-House: There is team of people who will maintain the website and applications and the database. ď In-Source: Services like customer service will provide with the additional problems or issues faced by a customer. ď Outsource: Not Applicable. ď Partnership: They are partnered up with different food companies for their supply and services. 74 Akshay Agrawal
- 76. Human Resource 76 ⢠BigBasket has currently 12,000 employees across various states in India. ⢠As part of inclusion of AWS service in the BigBasket model, a considerable expansion in the employees is definite. ⢠Major updates in the BigBasket resourcing includes: ďą Hiring new employees. ďą Training for the new employees ďą Retaining existing employees ďą Additional training for existing employees. Anandu Anilkumar
- 77. Human Resource 77 ⢠Hiring New employees â ď SQL developers ď Data Analysts ď Data Scientist ď AWS experts ⢠Training for new employees- ď Provide inhouse training and knowledge transfer. ď Training on the working of AWS ď Training on organizational data standards. Anandu Anilkumar
- 78. Human Resource 78 ⢠Retaining existing employees- ď Provided added responsibilities ď Leverage in the existing positions ď Provide competitive salaries. ⢠Additional training for new employees- ď Training for additional roles ď Training to get hold of the new strategy ď Training to mentor new employees. Anandu Anilkumar
- 80. Implementation Strategy â Roll Out Plan 80 Phase 1 - Data Analysis Analyze the data present in existing storage server Data Manipulation Manipulate the data present to remove garbage data Data Standardization Standardize the data to obtain a uniform format Anandu Anilkumar
- 81. Implementation Strategy â Roll Out Plan 81 Phase 2 - Inclusion of AWS Include the AWS service in the IT infrastructure Data Migration Migrate the standardized data to the AWS server Live Database Lock the AWS database so that any upcoming data is stored in it. Anandu Anilkumar
- 82. Implementation Strategy â Roll Out Plan Data Analysis and Manipulation Data Transfer
- 83. Measurement and Metrics 83 Utkarsh Agrawal
- 84. Traditional Return on investment Market growth rate Market share Net profit margin 84 Utkarsh Agrawal
- 85. Data Security Network and Host Traffic Infrastructure Changes Identity Management 85 Utkarsh Agrawal
- 87. Vision and Strategy Financial Internal Business Process Learning/ Growth Customer 87 Increased CUSTOMER satisfaction based on: ⢠Faster delivery time for new product and service offerings ⢠NPS increase ⢠Improvement in customer satisfaction surveys Increase or sustained quantifiable profit- related measures: ⢠Stock Valuation ⢠Market Share ⢠Market Capitalization Improvement on employee intangible benefits, such as: ⢠Manageable by employees as per their requirement ⢠Improved IT production performance as a result of increased uptime. Internal Business Process improvement : ⢠Improved business processes as instant access to limitless pool of resources Utkarsh Agrawal
- 89. Government regulations and policies ď Since they are a grocery logistics company, they have to make sure everything is in compliance with the government regulations and policies. ď File the taxes on time and practice the trade according to the government norms. ď Regular FDA license renewal. ď Be ready for unannounced government inspections. 89 Akshay Agrawal
- 90. Technology Environment ď Regular maintenance of websites and provide regular updates for the applications. ď Keep up to date database of customers and items. ď Practice security measures which consists of saving customer information like personal, payment methods, etc. 90 Akshay Agrawal
- 91. Demographic environment ď Since India consists of different types of people with different religion and culture, they have to provide goods and services according to the demographics. ď Logistics may be challenging where customers have certain special demands. ď Use the analysis of demographics in the location and fulfil the needs according to it. 91 Akshay Agrawal
- 93. Recommendation 93 Easy to use Low Cost Smart solutions Cloud computing Business Intelligence Data Analytics Shraddha Barde
- 94. Conclusion â Golden Thread 94 Business Strategy ⢠Grow revenue ⢠Customer Satisfaction ⢠Find new market opportunities ⢠Develop new products IT Strategy ⢠Implement AWS EC2 as opposed to physical servers ⢠Implement Data Analytics and Business Intelligence on data collected from cloud Alignment True Partnership The project will enable strong business relationship and intelligence within IT on the patterns of customer behavior Drives Improved Business Performance Enables business to configure next best actions ,. Competitive Advantage Providing full end to end experience with improved product and services, ensured consistency and reliable solutions Shraddha Barde
- 95. References ďľ http://dsim.in/blog/2016/03/23/case-study-how-big-basket-has-changed- the-online-grocery-marketplace/ ďľ www.bigbasket.com ďľ https://www.digitalvidya.com/blog/case-study-bigbasket-online-grocery- marketplace-digital-marketing/ ďľ http://www.cmo.com/interviews/articles/2016/4/6/the-cmocom-interview- vipul-parekh-big-basket.html#gs.O_uH2vI 95
- 96. Thank You! 96
Editor's Notes
- Customers have different types of interactions with organizations whether it is survey, in-person, via web, blog, social media, voice or text. With so many options available for data collection, there is a necessity for information management. The challenge that every organization has is how to pull all of this together and make sense of the customer experience. There is a definite value in each of these interaction forms whether data collected if structured or unstructured. The best form of information collection is via survey, where data is collected in structured form. Here the company encourages the customers to get their opinion and feedback on services, products and experiences. This allows them to get insight on information they value most. Drawback, is that it does not capture data in its full capacity. The customer is unwilling to provide valuable feedback especially when asked at the wrong time. The best way to capture the true opinion is when the customers come to the organization, however, the data here is highly unstructured yet very valuable. Once youâve gathered customer data, make the most of it. Donât limit yourself by over-simplifying data as good or bad. Customers' feelings about products go far beyond simply liking or disliking a product, which means you can learn a lot more from feedback than overall satisfaction or dissatisfaction.Â
- Source: - http://david.dbsdataprojects.com/tag/master-data-management/ MDM usually is needed where there is allot of data overlap and inconsistencies in data management throughout the organization or where a particular department needs to be brought into line with the rest of the organization. Good data quality will be complete, timely, consistent, valid, have integrity and be accurate. Master Data is information about customers, suppliers, partners, products, materials, employees, accounts and more, Master Data is at the heart of every business transaction, application and decision therefore Data Governence and Master Data Management go hand in hand and should be developed together wherever data management is important in an organisation and then the strategy should be monitored and tweaked as conditions change and the business develops into the future.
- Image source: https://www.slideshare.net/EuroITGroup/big-data-in-ecommerce Use of Big Data: (source - https://cio.economictimes.indiatimes.com/news/business-analytics/how-analytics-drives-business-at-bigbasket/55556202) Making sense of the unstructured data The team deals with the big data (unstructured), which is generated using the online customer behavior and studying their transaction records. Customer analytics contributes to larger sales and helps in understanding the correlation between delivery matrix and customer loyalty. They also analyze customer feedback which is unstructured data to understand the sentiment expressed by the customer and the areas on which they are providing feedback. Their big data environment is helping BigBasket analyze structured and unstructured data to draw key insights and upgrade their customer experience. Analytics helps in driving the personalization Analytics team is focused on enhancing and personalizing customer experience by delivering a variety of solutions. âWe identify our customers and enable the targeted customer engagement like offers, communications to/with customers. Second, analyze their buying behavior and design their Smartbaskets using products they need immediately and products they usually buy. Smartbasket reduces the time-to-buy for customers and allows them to discover products that they may need or not usually buyâ Subramanian added. Predictive analytics reduces flux in the inventory âWe have developed an array of solutions that help in optimizing the supply chain. And ensures that we are neither over stocked nor under stockedâ he said. The solutions include, forecasting the demand that helps the supply chain team plan capacity like vans, drivers, CEEs, equipment needed in various facilities. The historical analysis of the sales data helps in categorically planning the inventory. It helps analyze types of orders and their volumes to allow the supply chain team to plan suitable delivery options to minimize cost. Analyzing massive data for visualizing trends Big data platform and machine learning algorithms are help in analyzing large volumes of data to devise point as well as scale solutions. Point solutions like smartbasket, communication and offers help in personalizing customer experience on the product while scale solutions help in business planning that enhances overall customer experience.
- Use of Big Data: (source - https://cio.economictimes.indiatimes.com/news/business-analytics/how-analytics-drives-business-at-bigbasket/55556202) Making sense of the unstructured data The team deals with the big data (unstructured), which is generated using the online customer behavior and studying their transaction records. Customer analytics contributes to larger sales and helps in understanding the correlation between delivery matrix and customer loyalty. They also analyze customer feedback which is unstructured data to understand the sentiment expressed by the customer and the areas on which they are providing feedback. Their big data environment is helping BigBasket analyze structured and unstructured data to draw key insights and upgrade their customer experience. Analytics helps in driving the personalization Analytics team is focused on enhancing and personalizing customer experience by delivering a variety of solutions. âWe identify our customers and enable the targeted customer engagement like offers, communications to/with customers. Second, analyze their buying behavior and design their Smartbaskets using products they need immediately and products they usually buy. Smartbasket reduces the time-to-buy for customers and allows them to discover products that they may need or not usually buyâ Subramanian added. Predictive analytics reduces flux in the inventory âWe have developed an array of solutions that help in optimizing the supply chain. And ensures that we are neither over stocked nor under stockedâ he said. The solutions include, forecasting the demand that helps the supply chain team plan capacity like vans, drivers, CEEs, equipment needed in various facilities. The historical analysis of the sales data helps in categorically planning the inventory. It helps analyze types of orders and their volumes to allow the supply chain team to plan suitable delivery options to minimize cost. Analyzing massive data for visualizing trends Big data platform and machine learning algorithms are help in analyzing large volumes of data to devise point as well as scale solutions. Point solutions like smartbasket, communication and offers help in personalizing customer experience on the product while scale solutions help in business planning that enhances overall customer experience.
- Gain trust by providing valuable solutions Constant communication between IT and business will increase trust. Trust is an enormous benefit at the project and organization level.
- https://www.quora.com/Why-should-Indian-companies-do-sox-audit https://www.bigbasket.com/privacy-policy/
- Strengths 1. A virtualized computing environment allows multiple physical servers to be configured so as to increase or decrease the number of logical servers. This means youâre able to be flexible to the needs of your business without spending on any additional physical servers. 2. Speaking of server provisioning, bootable images and virtual server templates can be kept on-hand for when theyâre needed. This saves you from those ever-so-enjoyable tasks of installing and re-installing Windows, configuring firewall settings, restoring backups, and what have you. 3. To add to the whole flexibility theme, how often have you wanted to test a new configuration or to try out a new sales application, only to discover that you didnât have the necessary hardware? Testing new hardware and software is crucial to the continuity of any business making use of IT. For more elaborate set-ups or labs, a dedicated virtual server environment allows testers to configure and reconfigure various scenarios at the drop of a hat. This saves them time and lots of frustration. 4. Just like testers would boot up a server that theyâve configured for a specific purpose â with relevant applications installed and network settings already done â so your live systems can be made redundant with an equivalent or similar server environment running alongside it. This server environment doesnât have to be active â depending on your business of course â but will provide the necessary backup systems in case of an outage. Weaknesses 1. A problem with virtual servers is that theyâre still dependent on the underlying physical machine/machines. If a physical server suffers a mechanical fault, and thereâs no redundancy in place, multiple virtual servers will be affected. This can spell serious financial consequences if thereâs prolonged downtime. 2. Separate applications might be installed on separate virtual servers, but these programs are still inextricably linked â they share the resources of their supporting physical server. As more demand from more virtual servers is placed on the physical servers/servers, a serious degradation in performance could be experienced across the board, and could negatively affect service-oriented or real-time business operations. 3. Some applications are not supported on shared environments and could even be in breach of the licensing agreement. Furthermore, depending on which operating system you choose to go with, make sure itâs properly licensed for your environment â there could be a significant cost impact depending on whether itâs installed on a physical or number of virtual servers. Opportunities 1. Allow business in newer systems that are server intensive and specific to certain hardware. 2. Ability to gain new business by marketing data center standards Threats 1. Breach or attack on data center, need to increase security 2. Loss of space contract or capital to acquire newer hardware 3. Environmental issues with recycling old hardware
- Strengths No need for onsite hardware or capital expenses. Well-suited to smaller companies that may outgrow storage too quickly. Storage can be added as needed. Solutions are often on-demand, so you only pay for what you need. Backup and restore can be initiated from anywhere, using any computer, tablet, or smartphone. Data can be backed up in the cloud as regularly as 15-minute intervals, minimizing data losses in disaster situations. Small data set recovery time is improved. Weaknesses The costs of the data recovery could outweigh the benefits for companies that are not as dependent on uptime and instant recovery. Every organization will have a limit to data that can be stored in the cloud due to storage availability and cost. If the Internet goes down on your side or on your cloud providerâs side, you wonât have access to any of your information. Full data recovery could prove very time-consuming and impactful on systems. Opportunities Update with newer technologies and virtual machine templates. Automation and removal of human intervention for certain tasks Expansion of product offerings with new hardware availability Threats Technical failure at host site (cloud). Identity theft Economic slowdown causing losses due to dependency Closure of cloud vendor services Provider hacks or privacy breach
- To enable utilisation of analytical capabilities: How to provide and manage the data? How to enable data science and analytical experts? How to democratise analytics with end users? How to reduce time to value and integrate with business
- A business model describes the rationale of how an organization creates, delivers, and captures value The Business Model Canvas tool helps discuss, design, and invent new business models . There are 9 basic building blocks as above show how value can be added with the IT strategy of virtualizing website hosting for a leading online grocery store: BigBasket The 9 basic building blocks: Customer Segments : Role or people in org for who you are creating value â simple users and paying customers Value proposition for each segment : Bundles of products / services that create value for customers Channels to reach customers : Touch points through which you are interacting with customer and delivering value Customer relationships we establish : Type of relation ship you establish with your customer Revenue streams we generate : How and through what pricing mechanism our business model is capturing value Key resources : Infra structure to create deliver and capture value. Ke y resources which assets are in dispensed. Key Activities : Key activities which you need to perform to obtain value. Key partners : Who can help you leverage your business model . Cost structure : Once we understand infrastructure we can understand cost structure : Its important to map them out in a pre structured canvas
- Return on Investment: Very high due to more robust nature of cloud servers Market Growth Rate: More demand will lead to more growth. Market Share: Market share is increasing every quarter due to its adaptability and higher efficiency. Net Profit Margin: Increased profits as you pay for only the amount of space you use.
- Infrastructure Changes: A lot of changes related to infrastructure can be seen as compared to physical servers Identity Management: Additional layers of security should be added to avoid identity theft.
- So large Data that it becomes difficult to process it using the Traditional Systems. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity. Despite these problems, big data has the potential to help companies improve operations and make faster, more intelligent decisions. STRUCTURE CHARACTERISTICS CLOUD COMPUTING Cloud Computing provides a simple way to access servers, storage, databases and a broad set of application services over the Internet. Cloud Computing providers such as Amazon Web Services own and maintain the network-connected hardware required for these application services, while you provision and use what you need via a web application. (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.com. Web services are sometimes called cloud services or remote computing services. The first AWS offerings were launched in 2006 to provide online services for websites and client- side applications RELATIONSHIP Using cloud computing in BigData for storage and computing the data , so it will has number of benefits : 1. Easy to use 2. Low cost 3. Reduce the use of equipmentÂ