IBM Digital Center Bangalore Hybrid Cloud Digital Campaigns
IBM Digital Center, Bangalore Hybrid Cloud Digital Campaigns Data and AI
Value Proposition Modernize-Collect-Organize Value Proposition IBM Hybrid Data Management offers a complete suite of capabilities delivering a fully unified data journey. It translates queries across vendors, languages and structures so enterprise architect leaders can build the right foundation for their data and gain actionable insights around customer behavior and market opportunities to grow market share, reduce costs, and deliver superior customer service. Analyze Value Proposition IBM Watson Studio is the enterprise data science platform that allows teams to explore, build and put their data science practice into production faster. • Data Science teams of any skillset can use the top Open Source and advanced data science tools across the analytics lifecycle. • No need to move your data, build and deploy where you want in a multi-cloud environment, whether your data exists behind the firewall or in the cloud. • Data science can be put into production faster with ease of deployment, model management and auto-retraining to increase your team’s productivity.
Summary of Content Showcase Approach Analytics Business Unit Goal: Establish IBM as a partner of choice for clients on their journey up the Artificial Intelligence (AI) ladder. Modernize-Collect-Organize Campaign Analyze Campaign Objective Meet 2019 $58 M VLR, by driving responses from target markets and progressing opportunities Campaign Objective Meet 2019 $30 M VLR target, by driving responses from target market and progressing opportunities Campaign Theme MODERNIZE: Make your data ready for AI and cloud COLLECT: Make your data simple and accessible ORGANISE: Create a trusted analytics foundation Campaign Theme ANALYSE: Scale insights on demand with AI everywhere Market Coverage ANZ, ASEAN 5, ISA, KR, Singapore Target Audience Modernize-Collect Primary: Director of Enterprise Architecture & Strategy, CIO Organize Primary: Chief Data Officer Target Audience Analyze Primary: Chief Analytics Officer, Data Science Leader, CDO Hero Offerings (10) ICPD, Db 2 Warehouse on Cloud, Big SQL, Hadoop, IIAS, Info. Sphere Info Server, Watson Knowledge Catalog, Info. Sphere MDM, Cloudant, Mongo. DB, Cloud Pak for Data Hero Offerings (5) Watson Studio, SPSS Modeler, Cognos Analytics, Watson Explorer, Planning Analytics
Typical Business Pain Points Modernize-Collect-Organize Campaign DISCOVER EARLY LEARN LATE LEARN TRY / BUY • Is my organization’s potential restricted by where my data and applications reside? • Data underpins digital transformation, unable to provide rapid access to the data across the organization. Delaying new IT projects due to scalability and poor data quality • Accelerating analytics and data preparation to keep up with the speed of business is essential for digital transformation. • The biggest barrier to using AI is my data. Is my data trustworthy? I have conflicting information from various reporting sources • What if you had access to a wealth of insights from your data that could help identify new business models, while meeting ROI goals? • I want to extract value from open source, I want to accelerate the path to AI • What makes this solution different to others? • How disruptive will it be to my business? • How to I get to see solutions in action • What trial or no cost options do I have for purchase? Are there developer options? • What support and services are available? Analyze Campaign DISCOVER EARLY LEARN LATE LEARN TRY / BUY • Moving Data is costly, risky and slow. How to harness multiple sources and volumes of data to make more precise decisions faster? • How do you get to the real drivers of what is (or is not) working, and move beyond a hunch? • How to overcome the spreadsheet dilemma to deliver financial insights to guide profitable business decisions? • How to foster business processes and a culture that is analytically driven to broadly help business leaders make smarter decisions? • How to find blind spots on your own without tying up other resources, then share & collaborate across your business? • How do I easily use data across all corporate sources to model strategic initiatives, build driver-based plans and automate rolling forecasts? • How to translate data into analytical insight and turning insight into business action? • How to find patterns in the data, surfacing insights without manual intervention and find the right triggers in and outside of my view? • How do I understand what is driving the business, see the impact of current or future trends and then incorporate those insights into plans? • It’s hard to trust how models perform in production. How to operationalize ML? • How to work with your data or data built by others to find precise, timely answers? • How can I incorporate predictive capabilities in order to drive better informed business decisions?
Analyze – Content Blueprint CARE (win hearts) CONSIDER (win minds) CHOOSE (win wallets) Discover Early Learn Late Learn Try / Buy Business Pain points 1. Moving Data is costly, risky and slow. How to harness multiple sources and volumes of data to make more precise decisions faster? 2. How do you get to the real drivers of what is (or is not) working, and move beyond a hunch? 3. How to overcome the spreadsheet dilemma to deliver financial insights to guide profitable business decisions? 1. How to foster business processes and a culture that is analytically driven to broadly help business leaders make smarter decisions? 2. How to find blind spots on your own without tying up other resources, then share & collaborate across your business? 3. How do I easily use data across all corporate sources to model strategic initiatives, build driver-based plans and automate rolling forecasts? 1. How to translate data into analytical insight and turning insight into business action? 2. How to find patterns in the data, surfacing insights without manual intervention and find the right triggers in and outside of my view? 3. How do I understand what is driving the business, see the impact of current or future trends and then incorporate those insights into plans? 1. It’s hard to trust how models perform in production. How to operationalize ML? 2. How to work with your data or data built by others to find precise, timely answers? 3. How can I incorporate predictive capabilities in order to drive better informed business decisions? Content blueprint 1) Blogs (Thought leadership & client stories) 2) 3 rd party analyst reports 3) Whitepapers 1) 2) 3) 4) 5) 1) Interactive demo (Primary try/buy asset) 2) Free trials 3) Talk to Expert 4) Schedule a consult Analyst report – 288 responses White paper – 258 responses Preferred Tactics 1. Search 2. In-country campaign landing pages 3. Display 4. Events (for new accounts) Analyst reports Videos e. Book Web articles whitepaper White paper – 1536 responses Analyst report – 152 responses 1. 2. 3. 4. Search Display CS Events Demo video Animated video Solution brief Case study Webinars Guided demo – 156 responses 1. Programmatic display 2. Virtual Events 3. F 2 F Events Trials – 307 responses 1. F 2 F Event 2. Virtual Events (webinar) 3. Nurture mail
Modernise, Collect & Organise – Content Blueprint CARE (win hearts) CONSIDER (win minds) CHOOSE (win wallets) Discover Early Learn Late Learn Try / Buy Client questions 1) Is my organization’s potential restricted by where my data and applications reside? 2) Data underpins digital transformation, unable to provide rapid access to the data across the organization. Delaying new IT projects due to scalability and poor data quality 1. Accelerating analytics and data preparation to keep up with the speed of business is essential for digital transformation. 2. The biggest barrier to using AI is my data. Is my data trustworthy? I have conflicting information from various reporting sources 1. What if you had access to a wealth of insights from your data that could help identify new business models, while meeting ROI goals? 2. I want to extract value from open source, I want to accelerate the path to AI 3. What makes this solution different to others? 1. How to I get to see solutions in action 2. What trial or no cost options do I have for purchase? Are there developer options? 3. What support and services are available? Content blueprint 1) Blogs (Thought leadership & client stories) 2) 3 rd party analyst reports 3) Whitepapers 1) 2) 3) 4) 5) 1) Interactive demo (Primary try/buy asset) 2) Free trials 3) Talk to Expert 4) Schedule a consult Analyst reports Videos e. Book Web articles whitepaper E-book – 268 responses Demo Animated video Solution brief Case study Webinars Guided demo - 377 responses Case study – 169 responses Analyst reports – 55 responses Preferred Tactics 1. Search 2. In-country campaign landing pages 3. Display 4. Events (for new accounts) Trials – 87 responses 1. 2. 3. 4. Search Display CS Events 1. Programmatic display 2. Virtual Events 3. F 2 F Events 1. F 2 F Event 2. Virtual Events (webinar) 3. Nurture mail
Key assets Whitepapers Webinars Demos & Videos Case Studies IDC Market. Scape 2019 Vendor Assessment Worldwide Network Consulting Services Planning cloud migrations: It's all about the destination Empathy Videos https: //www. youtube. com/watch? v=UH 8 Ep. Krhx 5 s&t Mitsubishi Case study https: //www. ibm. com/casestudies/mitsubishimotors-australia https: //www. youtube. com/watch? v=Bki. L XXQ 89 E 0&t Godrej case study https: //www. ibm. com/casestudies/godrejgroupjourneytocloud Enterprise Applications and Cloud Managed Services: 269 CIOs Share their views The confident move to the cloud Accelerating the journey to virtually any cloud with resiliency, security-rich migration and modernization Forbes Insights "Perception Gaps in Cyber Resilience: Where Are Your Blind Spots? ” IDC Paper: Five Key Technologies for Enabling a Cyber Resilience Framework Gartner Magic Quadrant for Data Center Outsourcing and Hybrid Infrastructure Managed Services, Asia/Pacific 7 © 2019 IBM Corporation 25 October 2020 Navigate multi-cloud complexity with IBM Services Making the move to S/4 HANA easier and smoother SAP: Your road map to cloud featuring author Andy Hacket Orchestrate IT infrastructure with multicloud management Resiliency for the hybrid cloud and multicloud era Protect your digital transformation with cyber resiliency Always-on hybrid cloud platforms for networks IBM Services https: //www. youtube. com/watch? v=kq. W Ozu 9 Wud. M&t https: //www. youtube. com/watch? v=tb 98 jli. QP 7 k Bank of the Philippine Islands (BPI) https: //www. ibm. com/case-studies/bpijourney-to-cloud. Every Second Counts: Rapid Recovery for Finance Dilip Buildcon https: //www. ibm. com/case-studies/dilipbuildcon-limited-ibm-services-sap Cloud Migration Show & Tell demo https: //event. on 24. com/wcc/r/2086340/2 5 A 7807 DBDE 181640621 CC 9 DFCE 1 FF B 5 Whirlpool https: //www. ibm. com/casestudies/whirlpool-corporation-ibmservices-cloud-growth Cyber Incident Recovery demo https: //event. on 24. com/wcc/r/2082695/ FB 6 FCE 5 B 7 A 3 DF 074 CFC 761 E 16572 D A 5 F Aditya Birla Fashion and Retail Limited https: //www. ibm. com/casestudies/abfrljourneytocloud
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