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Analytics in the Cloud and the ROI for B2B

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Analytics in the Cloud:
Transform the Value
Chain with Data-Driven
Insights
VERONICA KIRN
JEANNINE CALANDRA
Please Note:
• IBM’s statements regarding its plans, directions, and intent are subject to change or
withdrawal without no...
Today’s Topics
• Introductions
• Transformative Shifts in Analytics
– Institute for Business Value (IBV) 2014 findings
– W...

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Analytics in the Cloud and the ROI for B2B

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Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.

Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.

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Analytics in the Cloud and the ROI for B2B

  1. 1. Analytics in the Cloud: Transform the Value Chain with Data-Driven Insights VERONICA KIRN JEANNINE CALANDRA
  2. 2. Please Note: • IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. • Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. • The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. • The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. 1
  3. 3. Today’s Topics • Introductions • Transformative Shifts in Analytics – Institute for Business Value (IBV) 2014 findings – Why does speed matter? – How to turn data into insights? • The Importance of Analytics in B2B Integration – What is B2B Cloud Services? – How Analytics are integrated into the portfolio • B2B Services Reporting & Analytics – Is your business at risk? – Report, Alert, Predict – Why transactional reporting matters – Process Visibility – Demo 2
  4. 4. Analytics: The speed advantage Introduction: The speed advantage Capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics 1 2 3 4 A solid majority of organizations are now realizing a return on their big data investments within a year Customer centricity still dominates analytics activities, but organizations are increasingly targeting operational challenges Integrating digital capabilities into business processes is transforming organizations The value driver for big data has shifted from volume to velocity Four transformative shifts occurred in 2014 IBM Institute for Business Value Source: Analytics: The speed advantage, IBV, ©2014IBM 3
  5. 5. In 2014, IBV captured over 1,000 business & IT professionals from 67 countries About the research IBM Institute for Business Value Source: Analytics: The speed advantage, IBV, ©2014IBM 4
  6. 6. Shift 1: Most organizations realized a return on their analytics investments within year 1 Return on investment period of surveyed organizations realize a positive return on their analytic investments within one year 63% n = 913 Introduction: The speed advantage IBM Institute for Business Value Source: Analytics: The speed advantage, IBV, ©2014IBM 5
  7. 7. Shift 2: Customer centricity still dominates analytics activities in addition to operations •are using •data and analytics •to improve customer acquisition •are using •data and analytics •to improve customer experience Organizational objectives for use of data and analytics 22% 31% Introduction: The speed advantage IBM Institute for Business Value Source: Analytics: The speed advantage, IBV, ©2014IBM 6
  8. 8. Introduction: The speed advantage n = 1036 IBM Institute for Business Value Source: Analytics: The speed advantage, IBV, ©2014IBM Shift 3: Integrating digital capabilities into business processes is transforming Create agility, flexibility and precision enabling new growth Change how people connect, transact and engage with companies, institutions and government 7
  9. 9. Shift 4: The value driver for big data shifted from volume & variety to velocity & veracity Introduction: The speed advantage Data in many formsVariety Data at speed Velocity Data at scaleVolume Data as trustworthy Veracity 4 Vs of big data 2012 differentiators 2014 differentiators Scalable / extensible infrastructure Scalable storage infrastructures enable larger workloads High-capacity warehouses support the variety of data Data integration topped the data priorities of most organizations Agile and flexible infrastructure Big data landing platform expands the structured and unstructured data available for usage Real-time analysis processing enables ‘in the moment’ actions Trustworthiness is now the top data priority across majority of organizations Source "Analytics: The real-world use of big data. How innovative organizations are extracting value from uncertain data." IBM Institute for Business Value in collaboration with the Saïd Business School, University of Oxford. October 2012. 8
  10. 10. Today’s Topics • Introductions • Transformative Shifts in Analytics – Institute for Business Value (IBV) 2014 findings – Why does speed matter? – How to turn data into insights? • The Importance of Analytics in B2B Integration – What is B2B Cloud Services? – How Analytics are integrated into the portfolio • B2B Services Reporting & Analytics – Is your business at risk? – Report, Alert, Predict – Why transactional reporting matters – Process Visibility – Demo 9
  11. 11. Multi- National Organization Trading Partners Global requirements, adaptability for change, and sheer volume of trading partner transactions Collaboration SLAs Reliability Protocols Governance Visibility Integration Technologies Data formats Standards 10 Increasing complexity, velocity of data and cost pressure are the issues
  12. 12. Reduce the time and complexity of securely and flexibly integrating 100% of partner communities Seamlessly automate and extend internal business processes to external partners Provide visibility into actionable information across key IT and business processes Accelerate the ROI of B2B projects and use their internal resources where they need them most The Modern Solution = visibility + security
  13. 13. Extend a customizable website capability to your small business partners Services Reporting & Analytics Webforms Transform how you monitor incoming and outgoing B2B transactions We can help you Modernize to the Cloud Flexible cloud technologies and expert services; fully managing your communities File Transfer Service Integration Services B2B Cloud Services Address complex integration challenges of partners, suppliers and customers Sterling Collaboration Network offers a Global connection to 340,000 trading entities Secure, reliable file-based business to business Integration in the cloud 12
  14. 14. All of your B2B Integration needs on One Global Network Governance &Analytics Actionablevisibilityfor business,operations andcompliance Managed File Transfer Security Commonperimeter services,proxyand authentication Cloud | On-Premise | Hybrid Self-Service | Outsourced | Hybrid Deployment Options Management Options Security-enhanced, reliable data transfers connecting systems, communities and people Integration Gateways Transformation Engines Orchestration and automation for key partner processes Single, universal engine for internal and external file and message transformation needs Financial Operations Orchestrate financial transactions for real time processing Cloud Services Flexible cloud technologies and expert services host business communities
  15. 15. Today’s Topics • Introductions • Transformative Shifts in Analytics – Institute for Business Value (IBV) 2014 findings – Why does speed matter? – How to turn data into insights? • The Importance of Analytics in B2B Integration – What is B2B Cloud Services? – How Analytics are integrated into the portfolio • B2B Services Reporting & Analytics – Is your business at risk? – Report, Alert, Predict – Why transactional reporting matters – Process Visibility – Demo 14
  16. 16. Lack of visibility into B2B transactions puts businesses at risk: • Risk of stock outages at customers • Risk of being known as a poor supplier to customer • Risk of shutting down assembly lines for lack of parts • Risk of increased costs for expedited shipments • Risk of penalties from customers 15
  17. 17. The solution… • Visibility across end-to-end processes • Allows clients to identify and correct negative trends before they impact the business – Obtain information on the go – Manage business processes • Order to Cash, Purchase to Pay, Logistics, Etc • Automated trigger-based alerts • Enables proactive response and mitigation – Manage by exception – Act on anomalies quickly 16
  18. 18. Your analytics and cloud strategy is your business strategy • Pacesetters use cloud to surface insights from data. They reimagine business models, make better decisions and serve customers in new ways to create winning business outcomes. Source: IBM Center for Applied Insights Under cloud cover: How leaders are accelerating competitive differentiation that surveyed 802 cloud decision makers and users, spanning 13 countries and 24 industries. 2xthe revenue growth Almost 2.5xhigher gross profit growth than peers Nearly
  19. 19. Provides in-depth and thoughtful reporting capabilities at your fingertips • Visibility across your B2B transactions • Configurable reports • Customizable alerts • Clarity of trends across your Trading Partners Why transactional reporting matters...
  20. 20. Leverage flexible options for viewing data
  21. 21. Dive into the details
  22. 22. Quickly modify filters based upon your needs
  23. 23. • Set thresholds by Trading Partner, Document Type, Direction, Status • Receive notifications for activity that deviates from the "norm“ • Reach out to your partners to resolve issues Manage by exception with alerts
  24. 24. Monitoring supplier performance in meeting delivery deadlines and SLAs results in: • Reduced costs • Increased customer satisfaction • Competitive advantage • Faster time to revenue Brand Manager – Active Sport Kate Retail’s biggest problem “I need to ensure product is stocked and on the shelf when my customers need it.”
  25. 25. The first step in our analytics continuum that begins to look into the document business content Rather than looking at what is happening with a single document or a single document type, we will look at the interaction between multiple documents and business partners The power of linking documents together
  26. 26. Types of processes that can be modeled… • Orders • Purchase Order, Invoice, Acknowledgement, Ship Notice, etc. • Logistics • Load Tender, Bill of Lading, Shipment Status, Customs Info, etc. • Manufacturing • Inventory Inquiry, Product Activity, Order Status, etc. • Warehousing • Stock Transfer, Inventory Adjustment, Response, etc. • Finance • Credit Adjustment, Authorization, Invoice, Account Analysis, etc. 25
  27. 27. • Identify opportunities • Monitor operations • Spot trends • Be alerted to exceptions and risks • Make informed business decisions B2B Services Reporting & Analytics will help you…
  28. 28. 3 things you’ve learned today B2B Services Reporting & Analytics • Is a valuable option for B2B Services clients to add to their current solution • Is extremely flexible in filtering and displaying data relevant for my role • Is a great way to proactively manage my trading partner relationships IBM B2B Services Reporting & Analytics
  29. 29. • Is my business at risk due to a lack of visibility? • Do I have the tools I need to turn data into actionable items? • Am I keeping pace? The 3 questions you should take away from today…
  30. 30. Questions? 29
  31. 31. Where do I learn more? • Visit our product page for additional information. Download the solution brief, white paper, access short videos and more: www.ibm.com/business-services-analytics • Watch our 20 minute Webinar http://www.rethinkyourcustomer.com/form/B2B- WBR9?pid=SRC&cm_mmc=RTYC-B2B-WBR9-_-email- _-vendorplaceholder-_-2014-12-31
  32. 32. Notices and Disclaimers Copyright © 2015 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law.
  33. 33. Notices and Disclaimers (con’t) Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. • IBM, the IBM logo, ibm.com, Bluemix, Blueworks Live, CICS, Clearcase, DOORS®, Enterprise Document Management System™, Global Business Services ®, Global Technology Services ®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON, OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, SoDA, SPSS, StoredIQ, Tivoli®, Trusteer®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml.
  34. 34. Thank You Your Feedback is Important! Access the InterConnect 2015 Conference CONNECT Attendee Portal to complete your session surveys from your smartphone, laptop or conference kiosk.
  35. 35. Reference 34
  36. 36. Analytics: The speed advantage Why data-driven organizations are winning the race in today’s marketplace 35 Download the study at ibm.biz/2014analytics Listen to the replay of our webinar to hear more about the study findings Ibm.biz/2014analyticswebcast

Notes de l'éditeur

  • IBM Institute for Business Value
    Source: Analytics: The speed advantage, IBV, ©2014IBM

    POV statement
    In 2014, several important shifts occurred in the world of big data – shifts that business executives around the globe cannot afford to ignore. The most significant change is that velocity is now the value driver for big data. Our sixth annual analytics study revealed a group of organizations differentiating themselves with speed-driven data and analytics practices that significantly impact business performance and competitive position. To compete in today's digitally infused marketplace, other organizations need to emulate these outperformers by acquiring, analyzing and acting on data with a focus on speed to action.

    Capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. In addition to this focus on speed, our latest analytics research reveals several significant evolutions in the era of big data.

    Based on survey responses of more than 1,000 business and IT executives from more than 60 countries, our 2014 analytics research revealed four transformative shifts affecting the fast-paced digital marketplace:

    A solid majority of organizations are now realizing a return on their big data investments within a year.
    Customer centricity still dominates analytics activities, but organizations are increasingly solving operational challenges using big data.
    Integrating digital capabilities into business processes is transforming organizations.
    The value driver for big data has shifted from volume to velocity.

    Let’ walk through the data behind each one of these.

    About the research
    The IBM Institute for Business Value’s 2014 analytics survey was a comprehensive look at the use of data and analytics by companies, governments and other organizations around the globe. We surveyed more than 1,000 business and IT executives from 67 countries (see Figures below).

    The survey was available online for eight weeks in 2013 (July through August) and offered in six languages: English, Simplified Chinese, French, Japanese, Russian and Spanish. Some respondents self selected based on interest in the topic, and additional invitations were sent based on IBM relationships. Survey topics included executive activities, business process activities, data management practices, human resources management, competency measures, software usage and hardware implementation.

    The questions were designed to help us understand how and why organizations are using data and analytics today. To identify which capabilities were most responsible for value creation though the use of data, we started with a wide ranging survey to examine more than 50 analytic processes, as well as understand the collection level of 18 types of data; the competency level of data and analytics skills for key analysis techniques; and implementation levels of hardware, software and data management components.
  • About the research
    The IBM Institute for Business Value’s 2014 analytics survey was a comprehensive look at the use of data and analytics by companies, governments and other organizations around the globe. We surveyed more than 1,000 business and IT executives from 67 countries (see Figures below).

    The survey was available online for eight weeks in 2013 (July through August) and offered in six languages: English, Simplified Chinese, French, Japanese, Russian and Spanish. Some respondents self selected based on interest in the topic, and additional invitations were sent based on IBM relationships. Survey topics included executive activities, business process activities, data management practices, human resources management, competency measures, software usage and hardware implementation.

    The questions were designed to help us understand how and why organizations are using data and analytics today. To identify which capabilities were most responsible for value creation though the use of data, we started with a wide ranging survey to examine more than 50 analytic processes, as well as understand the collection level of 18 types of data; the competency level of data and analytics skills for key analysis techniques; and implementation levels of hardware, software and data management components.
  • Shift 1:
    A solid majority of organizations are now realizing a return on their big data investments within a year.
    Most organizations (63 percent) realize a positive return on their analytic investments within one year, and more than one-in-four respondents (26 percent) realize a positive return within six months.
    This marks the start of a trend toward positive returns, with a 10 percent year-to-year uptick over the 57 percent that reported a return within a year in 2013.

    Moreover, 49 percent of organizations that have implemented one or more big data technologies into production reported that returns met or exceeded their expected returns; another 45 percent of implementations were under evaluation. Only 6 percent reported that returns failed to meet expectations.
  • Shift 2:
    Customer centricity still dominates analytics activities, but organizations are increasingly targeting operational challenges.
    While customer-centric objectives are still the primary focus for a majority of organizations, more are starting to integrate big data technologies into back-office and operational processes.
    In more than half of all organizations, business executives are demanding more data insights primarily to create stronger relationships with customers:
    31 percent are working to improve customer acquisition through the use of data and analytics, while the other 22 percent are targeting improvements in customer experience

    But it’s not all about the customer. Two out of five organizations – 40 percent – are focusing data and analytics on operational objectives, a significant increase from 2013 when only 25 percent of organizations were focused on operations. In the past year, as executives have seen front-office analytics deliver powerful results, they have started to apply these new technologies to manage operational costs even more tightly.
  • Shift 3
    Integrating digital capabilities into business processes is transforming organizations.
    A near majority of organizations (46 percent) are re-inventing business processes by integrating digital capabilities. By transforming processes, these organizations are creating the agility, flexibility and precision that enable new growth. And they are using digital capabilities -- like social and mobile technologies -- to change the way people connect, transact and engage with companies, institutions and governments, as well as how they create mutual value.

    In a digital transformation, organizations are focused on ways to better leverage the available data to either to grow revenues or cut costs, although the majority of digital transformations are focused on customer-centric outcomes. Meanwhile, new forms of data and advanced analysis methods have opened up new avenues of cost reduction and agility within business processes.
    In a combined digital and process transformation, organizations examine the end-to-end process or experience and both integrate analytics into the business process and streamline its operations simultaneously.
  • Shift 4:
    The value driver for big data has shifted from volume to velocity.
    Big data's initial impact on organizations came in 2012 as the deluge of data crossed its tipping point. Organizations initially aimed big data investments at managing the often overwhelming amount and types of data suddenly available. In our 2012 analytics study, "Analytics: The real-world use of big data," we identified the characteristics differentiating organizations most was a scalable and extensible infrastructure. But just managing the volume and variety of data is no longer enough to outperform competitors.
    Organizations using big data technologies broadly throughout their business functions -- capabilities that enable business functions to consume the data rather than just absorb it -- are creating the greatest impacts on business performance. Now we find the components most differentiating organizations creating the most value from data and analytics are those capable of creating an agile and flexible infrastructure, one designed to manage data efficiently and move it through the analytics process quickly.
    Schroeck, Michael, Rebecca Shockley, Dr. Janet Smart, Professor Dolores Romero-Morales and Professor Peter Tufano.
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  • March 13, 2015

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