Supplier Scorecards have become the Holy Grail of supplier performance measurement, although most companies are less than satisfied with their systems in place to measure supplier performance.
Learn how to:
- Leverage internal and external data sources to foster collaboration with suppliers and get up-to-the minute visibility across your extended supply chain.
- Improve supplier relationships through on-time payments and rapid problem resolution.
Enriched Insights in Finance: Blending Data, Boosting PerformanceProphix Software
Join Prophix and Aberdeen Group’s VP and Principal Analyst Michael Lock for a webinar. We will cover:
• Top data challenges companies face today
• Best-in-Class strategies for data management and integration
• The strategic and operational impact of analytics in the finance department
Governing and Preparing Data for Analytics and BusinessMark Smith
As business becomes more self-sufficient in accessing and putting data to work for analytics, there are many steps that are circumvented that can jeopardize the quality of business decisions. While it might seem easy to do one-off data preparation cycles that create analytic silos, the importance of placing governance on the data and users is essential to ensure accuracy of information used by business. The solution for these challenges can be addressed by applying effective processes and systems that are shared across business and IT. In this presentation, you'll will learn the latest best practices and steps to increase data governance and preparation processes that will shorten the time to efficiently connect users and data at any time
Managing Supplier Performance with Advanced AnalyticsDan Traub
2017 NAEP Annual Meeting presentation by Dan Traub of FinVantage Solutions LLC and Judy Smith of HHMI. Reno, NV.
The Howard Hughes Medical Institute has implemented an innovative program based on advanced analytics which is elevating their strategic supplier management efforts. Utilizing data from multiple sources, including the latest Consumer Pricing Index, HHMI created a supplier scorecard which presents metrics on spend channels, top customers, order trends, freight percentage, and more. An in-depth pricing analysis measures pricing variation and computes a market basket for comparison to the CPI. Suppliers also receive a view into their relative market share with competitors. Attendees will learn the techniques involved and hear anecdotes of suppliers’ reactions to the new program.
Data Sourcing Best Practices for Reporting (Webinar slides)Yellowfin
Why watch?
Are you trapped in reporting hell?
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
Watch this on-demand Webinar from SolveXia and Yellowfin – Data Sourcing Best Practices for Reporting – to discover how to build reliable supply chains of data in just 30-minutes. Learn how to quickly and easily go from source data to killer report – every time.
Only dependable and repeatable processes can produce quality data and reports. Ensure your reporting generates the business insights you need. Let SolveXia and Yellowfin show you how.
What will you learn?
Think the ability to deliver world-class, up-to-date and accurate reports that anyone can access, analyze and act on is important? Then this Webinar is a must.
Watch the on-demand version to learn how to:
•Create business critical reports on which you and your organization can rely
•Deliver sleek, sexy and intuitive charts, reports and dashboards to anyone, anywhere, anytime on any device
•Become the information Superhero you were meant to be!
The data that underpins any reporting system must be managed properly to make sure it’s clean, relevant and delivered in a timely manner to maximize the ability of enterprise BI solutions to produce actionable insights. Do you know how?
Enterprise Analytics Strategy: Taking Business Analytics to the UserRubén Mancha
The last mile of the business analytics transformation--taking business analytics to the user--requires the alignment of goals, data, and models with business processes, technology and key performance indicators.
Enriched Insights in Finance: Blending Data, Boosting PerformanceProphix Software
Join Prophix and Aberdeen Group’s VP and Principal Analyst Michael Lock for a webinar. We will cover:
• Top data challenges companies face today
• Best-in-Class strategies for data management and integration
• The strategic and operational impact of analytics in the finance department
Governing and Preparing Data for Analytics and BusinessMark Smith
As business becomes more self-sufficient in accessing and putting data to work for analytics, there are many steps that are circumvented that can jeopardize the quality of business decisions. While it might seem easy to do one-off data preparation cycles that create analytic silos, the importance of placing governance on the data and users is essential to ensure accuracy of information used by business. The solution for these challenges can be addressed by applying effective processes and systems that are shared across business and IT. In this presentation, you'll will learn the latest best practices and steps to increase data governance and preparation processes that will shorten the time to efficiently connect users and data at any time
Managing Supplier Performance with Advanced AnalyticsDan Traub
2017 NAEP Annual Meeting presentation by Dan Traub of FinVantage Solutions LLC and Judy Smith of HHMI. Reno, NV.
The Howard Hughes Medical Institute has implemented an innovative program based on advanced analytics which is elevating their strategic supplier management efforts. Utilizing data from multiple sources, including the latest Consumer Pricing Index, HHMI created a supplier scorecard which presents metrics on spend channels, top customers, order trends, freight percentage, and more. An in-depth pricing analysis measures pricing variation and computes a market basket for comparison to the CPI. Suppliers also receive a view into their relative market share with competitors. Attendees will learn the techniques involved and hear anecdotes of suppliers’ reactions to the new program.
Data Sourcing Best Practices for Reporting (Webinar slides)Yellowfin
Why watch?
Are you trapped in reporting hell?
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
Watch this on-demand Webinar from SolveXia and Yellowfin – Data Sourcing Best Practices for Reporting – to discover how to build reliable supply chains of data in just 30-minutes. Learn how to quickly and easily go from source data to killer report – every time.
Only dependable and repeatable processes can produce quality data and reports. Ensure your reporting generates the business insights you need. Let SolveXia and Yellowfin show you how.
What will you learn?
Think the ability to deliver world-class, up-to-date and accurate reports that anyone can access, analyze and act on is important? Then this Webinar is a must.
Watch the on-demand version to learn how to:
•Create business critical reports on which you and your organization can rely
•Deliver sleek, sexy and intuitive charts, reports and dashboards to anyone, anywhere, anytime on any device
•Become the information Superhero you were meant to be!
The data that underpins any reporting system must be managed properly to make sure it’s clean, relevant and delivered in a timely manner to maximize the ability of enterprise BI solutions to produce actionable insights. Do you know how?
Enterprise Analytics Strategy: Taking Business Analytics to the UserRubén Mancha
The last mile of the business analytics transformation--taking business analytics to the user--requires the alignment of goals, data, and models with business processes, technology and key performance indicators.
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
One of the easiest ways to improve the quality of information that you are able to provide is by simply sourcing good data. This presentation will show you the best practices for sourcing data to ensure that it is trusted, credible and reliable.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
As organizations continue to embrace digital transformation, they are looking to their data to power these initiatives. The chief data officer (CDO) is quickly emerging as an integral role in ensuring this process runs smoothly. While the role is relatively new to many organizations, the value a CDO adds is widely acknowledged by other C-level executives. In fact, 82% of CIOs believe there is a compelling case to hire a CDO in most organizations today.
Yet, not all CDOs are set up for success equally. Less than half of CDOs are given a clear remit or objective when they join an organization. For many of them, they’re pioneering their role as they go along. In order for businesses to become data-driven, they need to empower their CDO to ensure quality information that can be used in a meaningful way throughout the organization.
Join us for an informational webinar in which we’ll share our findings from more than 50 CDO interviews. We’ll discuss how the role has changed over the last several years, and how the realities of the position may differ from the expectations set forth. Other topics will include:
A snapshot of the average CDO
Core responsibilities of the CDO
The CDO’s reporting structure
The relationship between the CDO and CIO
Underpinning all data management initiatives is the fundamental need to get data quality right. Poor data quality can be costly, impact customer service, lead to errors in risk management and regulatory reporting, and more. So, how can you improve data quality? How can you use rules, standardisation and technology to make improvements? And how is ‘right’ data quality measured?
Listen to the webinar to find out about:
Requirements for data quality
Challenges of achieving data quality
Data quality metrics
Supporting tools and technology
Operational and business gains
Capturing Value from Big Data through Data Driven Business models prensetationMohamed Zaki
This presentation demonstrates a study which provides a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so. The Data Driven Business Model (DDBM) framework represents a basis for the analysis and clustering of business models. For practitioners the dimensions and various features may provide guidance on possibilities to form a business model for their specific venture. The framework allows identification and assessment of available potential data sources that can be used in a new DDBM. It also provides comprehensive sets of potential key activities as well as revenue models.The identified business model types can serve as both inspiration and blueprint for companies considering creating new data-driven business models. Although the focus of this paper was on business models in the start-up world, the key findings presumably also apply to established organisations to a large extent. The DDBM can potentially be used and tested by established organisations across different sectors in future research.
Simplify Supplier Risk Management Across Your Procurement Processes - SID 51538SAP Ariba
Suffering from sporadic supplier due diligence and fragmented risk information? Getting burned from engaging with at-risk suppliers? You are not alone. Come learn how to simplify supplier risk management across your procurement processes. Industry experts will share their experience using the SAP Ariba Supplier Risk solution to help ensure focused risk due diligence during supplier selection, detect early warning signals, and proactively monitor and address risks for each supplier engagement.
Learn How Memorial Hermann is Using Microsoft Dynamics CRM for Customer Engag...Perficient, Inc.
The presentation will discuss key components of Memorial Hermann’s deployed CRM solution:
Community outreach for potential patients to attract and track their interactions with the hospital, and to ultimately obtain more patients
Specialty group on-boarding process to automate the method of bringing rehab patients into the system for both inpatient and outpatient tracking
Call center technology replacement from an older stand-alone system to a connected CRM system, allowing the hospital to track inquiries concerning events and patient referrals via the phone and online
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Navigating data strategy is difficult, there are entire books and careers focused on the topic.
For the rest of us that are in need of quick consumable advice, here's a flywheel that articulates the high-level approach our teams are using to create exponential data value for products.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
One of the easiest ways to improve the quality of information that you are able to provide is by simply sourcing good data. This presentation will show you the best practices for sourcing data to ensure that it is trusted, credible and reliable.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
As organizations continue to embrace digital transformation, they are looking to their data to power these initiatives. The chief data officer (CDO) is quickly emerging as an integral role in ensuring this process runs smoothly. While the role is relatively new to many organizations, the value a CDO adds is widely acknowledged by other C-level executives. In fact, 82% of CIOs believe there is a compelling case to hire a CDO in most organizations today.
Yet, not all CDOs are set up for success equally. Less than half of CDOs are given a clear remit or objective when they join an organization. For many of them, they’re pioneering their role as they go along. In order for businesses to become data-driven, they need to empower their CDO to ensure quality information that can be used in a meaningful way throughout the organization.
Join us for an informational webinar in which we’ll share our findings from more than 50 CDO interviews. We’ll discuss how the role has changed over the last several years, and how the realities of the position may differ from the expectations set forth. Other topics will include:
A snapshot of the average CDO
Core responsibilities of the CDO
The CDO’s reporting structure
The relationship between the CDO and CIO
Underpinning all data management initiatives is the fundamental need to get data quality right. Poor data quality can be costly, impact customer service, lead to errors in risk management and regulatory reporting, and more. So, how can you improve data quality? How can you use rules, standardisation and technology to make improvements? And how is ‘right’ data quality measured?
Listen to the webinar to find out about:
Requirements for data quality
Challenges of achieving data quality
Data quality metrics
Supporting tools and technology
Operational and business gains
Capturing Value from Big Data through Data Driven Business models prensetationMohamed Zaki
This presentation demonstrates a study which provides a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so. The Data Driven Business Model (DDBM) framework represents a basis for the analysis and clustering of business models. For practitioners the dimensions and various features may provide guidance on possibilities to form a business model for their specific venture. The framework allows identification and assessment of available potential data sources that can be used in a new DDBM. It also provides comprehensive sets of potential key activities as well as revenue models.The identified business model types can serve as both inspiration and blueprint for companies considering creating new data-driven business models. Although the focus of this paper was on business models in the start-up world, the key findings presumably also apply to established organisations to a large extent. The DDBM can potentially be used and tested by established organisations across different sectors in future research.
Simplify Supplier Risk Management Across Your Procurement Processes - SID 51538SAP Ariba
Suffering from sporadic supplier due diligence and fragmented risk information? Getting burned from engaging with at-risk suppliers? You are not alone. Come learn how to simplify supplier risk management across your procurement processes. Industry experts will share their experience using the SAP Ariba Supplier Risk solution to help ensure focused risk due diligence during supplier selection, detect early warning signals, and proactively monitor and address risks for each supplier engagement.
Learn How Memorial Hermann is Using Microsoft Dynamics CRM for Customer Engag...Perficient, Inc.
The presentation will discuss key components of Memorial Hermann’s deployed CRM solution:
Community outreach for potential patients to attract and track their interactions with the hospital, and to ultimately obtain more patients
Specialty group on-boarding process to automate the method of bringing rehab patients into the system for both inpatient and outpatient tracking
Call center technology replacement from an older stand-alone system to a connected CRM system, allowing the hospital to track inquiries concerning events and patient referrals via the phone and online
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Navigating data strategy is difficult, there are entire books and careers focused on the topic.
For the rest of us that are in need of quick consumable advice, here's a flywheel that articulates the high-level approach our teams are using to create exponential data value for products.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
Understand the value of simulation based predictive analytics for distribution center, supply chain, logistics, or warehouse design, operations and performance improvement
Cloudway Consulting Pvt Ltd Is a SAP Strategic Sourcing Consulting Company For SAP, SAP S4 Hana, SAP Ariba, SAP C4C, Success Factor and Business By Design for More Call us at +0120-4226511
Data Governance That Drives the Bottom LinePrecisely
The financial services sector is investing heavily in data governance solutions to find, understand and trust customer data, while also managing compliance risk around an ever-evolving regulatory landscape more effectively.
But do you still find it difficult to get management support for data governance budgets? Do you have the tools you need to determine the “business cost of data” accurately? Can you show the CFO an ROI projection he can count on? Are you able to answer, “Will I see results on the top line or the bottom line?” Are your business line leaders able to identify areas that are losing money due to data problems?
If you answered no to any of these questions, join Precisely in our upcoming webinar that will focus on how Financial Services companies can monetize the return on investment for data governance and how to relate it to business results that every senior leader understands.
Join this on-demand webinar to learn about:
- How to select data initiatives based on corporate goals and strategy
- How to connect the dots from data challenges (quality, availability, accuracy, currency) to specific business metrics around
- How to quantify the data contribution to improving business performance around
- How to leverage metadata and linage to get a 360-degree understanding of your data
- How to evaluate data assets by assigning measures and defining scores.
- How to assign accountability to assets and processes
- How to define and execute the workflows needed to implement corrective actions
- How to highlight the benefits of data governance
Predictive Analytics & Decision Solutions [PrADS], a subsidiary of Dun & Bradstreet provides cutting edge analytics solutions and actionable insights to leading organizations globally , The following presentation provides an overview of the services offered
Innovative Data Leveraging for Procurement AnalyticsTejari
This webinar will explore the types of problems and questions faced by procurement executives that can benefit most through the application of analytical solutions (e.g. innovation, strategic cost management, risk mitigation, etc.). In addition, we will cover the different forms of cognitive solutions that are emerging to drive real-time decision-making and predictive sourcing capabilities.
Interoperability is a key to improving supply chain performance. As disparate systems silo information about specific processes, a holistic picture about corporate health and performance is lost. In a recent webinar we speak with Cindi Hane from Elemica and Rafal Porzucek from Procter and Gamble who attended the Shaman’s Circle on Amelia Islandto discuss solutions to close the gap on inter-enterprise visibility by creating greater connectivity through business networks. These slides are from that webinar.
Interoperability is a key to improving supply chain performance. As disparate systems silo information about specific processes, a holistic picture about corporate health and performance is lost. In this webinar we speak with experts that attended the Shaman’s Circle on Amelia Island to discuss solutions to close the gap on inter-enterprise visibility by creating greater connectivity through business networks. These are the slides from that webinar
Gain a Holistic View of your Customer's JourneyPlatfora
Today, companies are capturing information about customers at every touchpoint, but the reality is that most companies are working with siloed marketing data because they’re using disparate tools to track online, offline, web, social, mobile, and advertising data.
In this presentation, Rod Fontecilla, VP of Application Modernization at Unisys, explains how his team uses Platfora to analyze, interact and understand data to drive customer success at Unisys.
Rod will highlight three specific Unisys use cases of Platfora, one of which involved a timely text survey sentiment analysis that produced insights enabling a course correction in favor of improved customer satisfaction.
As the strategic importance of data has increased, new approaches to customer analytics have emerged as well. As customer interactions with companies grow and diversify, the need to integrate data faster and deliver real-time insights is critical. This presentation explores the underlying trends driving companies to become more data-driven and invest in customer analytics. And, it outlines three types of approaches to capturing, managing, analyzing, and activating customer knowledge and insights.
Delivering Aha Moments through Procurement Performance Analytics (part II)Dan Traub
2016 NAEP Annual Meeting presentation by Dan Traub of FinVantage Solutions LLC and Sandy Hicks of the University of Colorado. Delivered in San Antonio, TX.
In this update to the 2015 presentation, we explore the rollout and impact of the departmental scorecard program as it was introduced to over 215 financial managers across the University of Colorado System.
Learn how the University of Colorado Procurement Service Center launched an innovative program to gain valuable insights into its performance using the latest data visualization tools. Utilizing and analyzing data from multiple sources, CU has built a 360-degree platform to explore outcomes from procurement, payables, travel management, payment card, customer outreach, and other functions. The transition to a data-driven mindset will be examined, including a few surprises they learned along the way. The team will demonstrate how these metrics are driving new levels of collaboration with campus stakeholders, thanks to the popular departmental scorecards and executive dashboards.
Building a Complete View Across the Customer Experience on Oracle BICSShiv Bharti
Many organizations today are using a Modern Business Intelligence Platform or Big Data to eliminate Customer Blind Spots. When most firms refer to Big Data, they are not necessarily using “BIG” data, the term is used interchangeably with Analytics by most of our Customers.
Organizations today are increasingly relying on Data to make strategic decisions. Marketing Departments are using Predictive analytics to identify the Prospects or segments that will give their firms the most “lift” and thus highest ROI.
What are Customer Blind Spots?
Gaps in your view of the customer relationship across time
No formal social media listening data
Lack of cross-device identity
Inability for organizations to deliver personalized customer experiences
Inability to apply predictive analytics to customer behavior to optimize products and services
What are the Challenges to eliminate blind spots?
Disparate Data sources
Multiple Sources of the truth
Growth in Data Volumes
Data Migration Challenges
Fundamental Considerations for a Customer 360 project
Customer 360 project should focus on making substantial improvements in 5 key areas: Improve data quality, create Linkages across our various systems, centralize disparate information, transform the data to enable action and insights, and streamline the manner in which data is accessed and available.
Each pillar contains a stream of work broken into parallel paths to accelerate the rollout and adoption of the platform.
If you’re attending @Oracleopenworld (#oow16) and are considering a project to build a Customer 360-degree view by eliminating Customer Blind spots, please join us for our session to learn more on this subject including a customer case study. We look forward to a great session and stimulating conversations.
Building a Complete View Across the Customer Experience on Oracle BI Cloud Service [CON3730]
Monday, Sep 19, 4:15 p.m. – 5:00 p.m. | Moscone West – 2006
A Business-first Approach to Building Data Governance ProgramPrecisely
Traditional data governance programs struggle to make the connection between critical policies and processes and its impact on business value and results. This leaves data management and governance practitioners having to continually make the case for data governance to secure business adoption.
Watch this on-demand webinar to learn about the proven methods to identify the data that matters, connect governance policies to business objectives, and quickly deliver value through the life of the program.
Data-Ed Webinar: Data Quality Success StoriesDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.
Learning Objectives:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Case Studies illustrating data quality success
Data quality guiding principles & best practices
Steps for improving data quality at your organization
Overlooked issues in procure to-pay may 28-webinar vpa_v2Tradeshift
According to leading experts The Hackett Group and sharedserviceslink.com, there are three main areas that are often overlooked by finance, AP and procurement leaders when optimizing their P2P systems. See how these common oversights affect P2P performance, and how to stay ahead of the curve.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
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Using Analytics to Build Solid Supply and Supplier Management Relationships
1.
2. The Supply Chain Intelligence Company
Using Analytics to Build Solid Supply and
Supplier Management Relationships
Keith Peterson, President & CEO | Halo
Lora Cecere, President & CEO | Supply Chain Insights
Nate Weaver, Senior Director of PreSales Engineering | Halo
19. Effective Supply Chain Management
Focus on the things that matter
Inventory Management
Sales and Operations Planning
Executive and Financial Analytics
What do I know?
When did I know it
When should I have known it?
What should I know now?
Supply and Supplier
Management
Customer and Channel
Management
Supply and Supplier
Management
20. What we are
• Heterogeneous data from multiple sources
• Sit “on top” of enterprise, supplier, customer,
• Pre-Built Supply Chain templates
• Comparisons and “What-Ifs”
• Data Cleansing
• Easy-to-Change, Configure
• Executive/Manager/User-oriented
• Rapid Time to Value
• Alerting and Collaboration
• Mobile
What makes Halo different?
What we are not
• An ERP System
• A functional process management system
• A workflow system
• A transaction reporting system
21. Halo Business Analytics for Supply Chain Intelligence
Increasing transparency from customers to suppliers
⏵ For business users and data
experts alike
⏵ Leverage legacy tools and
data - No “rip and replace”
⏵ Non-proprietary platform at
fraction of the cost
⏵ Easy to get up and running –
4 to 6 weeks
⏵ Collaborate with external
suppliers and data experts
⏵ 252 global customers 96%
retention
23. The Supply Chain Intelligence Company
Applying Business Analytics to Supplier Development
An Example
24. ⏵ 7–10% average annual improvement
in delivery responsiveness
⏵ 10–13% average annual
improvements in quality
⏵ 22% lower product development times
The potential of supplier development
Source: Best Practices in Supplier Relationship Management and Their Early Implementation. Rand Corp (2012).
25. Supplier Management
Supplier Scorecards have become the Holy Grail of supplier performance
measurement, although most companies are less than satisfied with their
systems in place to measure supplier performance.
26. Supply and Supplier Management
• Supply delivery network is fragmented
• Data is spread across multiple systems, difficulty in
data integration
• Historical data is not trusted, data lacks credibility
• Assessing trends is time consuming
• Sharing data with suppliers is not easy
• Metrics not strategically aligned with the business
goals
• Too complex and difficult
Why is Supplier Management difficult and why does it fail?
27. • Major supply chain disruptions
• Lost Sales and Revenue
• Delivery problems (late or partial orders)
• Poor quality issues (returns from dissatisfied customers)
• Customer Satisfaction issues(and other issues that damage a company’s brand equity and credibility)
• High Expediting Costs and Penalties
• High Total Acquisition Costs
Failure to Manage Critical Supplier Performance
28. The Time Value of Supplier Intelligence
TIME
“Event Horizon”Product not shippedInventory drops below min. Order Cancelled
No time to respond
Why didn’t I know?
Supplier Information and Metrics not defined
Poor, inaccurate data
Data not available to executives from key sources
Supplier Management
Lost Revenue
Lost Margin
High Total Acquisition Costs
High expediting costs
E2E Supplier Visibility
Suppliers at risk
Alternative Suppliers
Strategic decisions
Standard costs
29. Solution
• Automated Supplier Scorecard, dashboards, and reports to manage your global supplier base
• Instant visibility into the metrics that matter (Cost, Delivery, Quality, Risk)
• Clarity across the enterprise, purchasing and procurement department, and supplier base
• Easily share reports with suppliers (how you measure them and how they can better perform)
Benefits
• Improved efficiency and response times (proactive vs. reactive)
• Reduce overall inventory and manufacturing downtime caused by shortages
• Reduce spend and rush shipment costs (working capital)
• Replace underperforming suppliers by understanding alternate suppliers
• Clear goals
Halo for Supplier Management
The solution and the awesome benefits
30. Supply and Supplier Management
• How does my supplier base look in terms of performance?
• Which of my suppliers are performing the worst? Whom should I be concerned about?
• What is the performance scorecard of a particular supplier? How are they performing?
• Which suppliers should I consider replacing? Should I split my commodity purchases further to mitigate risk?
• What information do I need for the next QBR and/or negotiation session?
Concerns and problems we address
31. The road to supply and supplier development
How to achieve the best value
#1
Know your
supplier
#2
Scorecard
every
supplier
#3
P2P
Model
#4
Develop
Supplier
Base
#5
Integrate
d
Partnerin
g
“Golden Record”
Master data mgmt.
Distributed reporting
Solve supplier
deficiencies
Supply sensing
Collaboration tools
Payment-Invoice-
Purchase
Data integration
N-tier development
Supplier networks
Image adapted from http://www.hicxsolutions.com/blog/compliance/purchasing-fraud-prevention/
32. Halo for Supplier Management
Your Control Tower for increased visibility, shared information, and better relationships with
your suppliers.
Visibility Agility Sharing
33. Supply and Supplier Management
Cost: 30% (EPPV = 70%, Pay Terms = 30%)
Quality: 30% (PPM = 100%)
Delivery: 30% (OTD = 75%, Lead Time = 25%)
Risk: 10% (SSI = 50%, SER = 50%)
Economic Purchase Price Variance: the difference between the previous price paid and its current price, multiplied by the actual number of units purchased
Payment Terms: # of days allowed to pay off the amount due
Defective Parts Per Million: calculated based on the total number defects received versus the total number of items received
On-Time Delivery: Percentage of on-time product deliveries against promise dates under normal operating conditions
Lead Time: Days between order date and delivery date
Supplier Stability Index and Supplier Evaluation Risk: Financial health of your suppliers, who is likely to cease operations and close their doors
Completely configurable based on your needs
34. Supply and supplier relationships
How to achieve the best value?
1. Manage the total business with each supplier
2. Measure and shape supplier performance
3. Involve key suppliers in product
4. Promote dialogue with suppliers
5. Recruit skilled personnel
6. Develop personnel to know suppliers in-depth
Source: Best Practices in Supplier Relationship Management and Their Early Implementation. Rand Corp
(2012).
35. Let’s keep talking
Keith Peterson
President & CEO
www.slideshare.net/HaloBI
info@halobi.com |888.300.0219
@Halo_BI
Editor's Notes
This is a sample customer logo slide. More images are available on the Marketing Dropbox folder \\HALOBIFILE\Shares\Dropbox (Halo)\Global\Marketing\Slide deck\Images\Customer logos.
A survey of leading companies found a 7–10 percent per year average improvement in delivery responsiveness attributable to supplier development and management initiatives (Trent and Monczka, 1998).
Rockwell Collins reported that supplier on-time delivery increased from 83.8 percent to 96.5 percent in three years after it developed a portal through which suppliers can gain access to engineering designs and forecasts, download scorecards that monitor their performance, and send invoices to and receive payment from Rockwell Collins.6
Sun Microsystems’ Enterprise Services organization reported improvements in repair-parts-vendor turnaround times from 34–40 days to 4–5 days after it fully integrated its technology platform and systems with those of 12 of its key vendors in the Americas (Pazmany, 2000).
Cessna reported a 113 percent increase in production inventory turns over six years, with dramatically higher material availability. Cessna achieved this improvement by creating a strategic plan and cross-functional commodity teams that rationalized the company’s supplier base;
Few people look at their suppliers’ performance and risk potential in a comprehensive manner that includes delivery, quality, cost and time – whether this is for their broad supply base or for individual suppliers
Suppliers are managed in a fragmented manner through the Procurement organization of Commodity Managers and Buyer-Planners
It is difficult to obtain data from multiple enterprise, provider and supplier systems
Few people look at Supplier performance over time to assess trends and capability
Historical data is often suspect in an organization and is not trusted
Few companies share their performance data with their suppliers with a view towards improving performance
The Consequences of a failure to manage and monitor Critical Supplier Performance can be significant.
How has my supplier base changed over time?
How has my suppliers’ performance changed over time? Should I be concerned? What should I be concerned about?
What are the financial and customer consequences?
What do I tell my Commodity Managers/Buyer-Planners to focus on?
Visibility into Cost, Quality, Delivery, and Risk. Agility is the ability to make better/more informed decisions. Share this information with Suppliers.