We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
Hub16: ”Flexible” supply chain planning technology and its impact on B2B and ...Anaplan
Today, consumers expect retailers to engage and interact with them in the ways that best cater to their habits. Guy Courtin, Vice President and Principal Analyst at Constellation Research, has made his career defining a holistic view of B2B and B2C supply chain of goods and services. This session focuses on the touchpoints between the consumer, whether it's the individual at the B2C level or entities at the B2B level, and the commerce supply chain. As shoppers become more accustomed to multi-channel delivery, he predicts that the distinction between ”omnichannel commerce” and just plain ”commerce” will slowly erode. Hear Guy speak about the future of supply chain plannning in B2B and B2C companies, and how technology can assist in making this digital distruption a reality.
Hub16: How Pure Storage IT is driving rapid value across its business functionsAnaplan
Yousuf Khan, VP of IT at Pure Storage, shares how they rapidly implemented Anaplan to drive integrated business planning across their company, from Sales to Finance and Operations.
Hub16: Taking global compensation to the next level at IntelAnaplan
Intel has a transformational plan underway for its HR processes—and global compensation using Anaplan is just one part of that plan. Hear why the Intel compensation team selected Anaplan and where they want to go next in their transformation journey.
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
Hub16: Workforce planning at Tableau: Finding time compression and process ag...Anaplan
The document discusses Tableau's implementation of Anaplan for workforce planning. It summarizes that Tableau needed better visibility and faster modeling for headcount forecasting driven by growth, initiatives, and attrition. They implemented Anaplan over 5 months, testing for 3 more months. Anaplan provided dashboards and reports for current and forecasted headcount, recruitment pipelines, and Workday data imports. It resulted in better actuals-based forecasting, significantly reduced consolidation time, and gave teams more process agility and ownership of their data. Tableau is now testing Anaplan API integration with Workday and considering using Anaplan for company-wide budgeting and expense planning.
Hub16: Tyco: How to drive growth and efficiency through a global sales compen...Anaplan
Tyco has 7,000 sales employees, 300 different sales plans, and 70 individuals across the globe calculating compensation on a weekly basis across disparate systems for a multitude of verticals and products. In this session, Peter Orlando will discuss how Tyco has alleviated the pain and process of sales transformation. With Anaplan, Peter has led a transition from a local to enterprise-based sales model.
This document discusses how to link analytics to business strategy using a strategy map and decision architecture. It provides a simplified example of a strategy map that connects business objectives and goals to decisions, analytics capabilities, data infrastructure, and IT infrastructure. The strategy map is meant to help prioritize analytics investments by mapping them to immediate and long term business impacts. It also provides tips for implementing an analytics strategy such as starting with a small proof of value project and building incrementally. The document is from a company called Zeno Analytics that provides analytics strategy consulting services.
Sales Operations as the Change Agent of the Sales OrganizationApttus
Modern sales operations professionals manage more than tactical operations. They are the change agents of the sales organization, serving vital, strategic roles in organizational restructuring, compensation roll-outs, system deployments and more. Attend this session to learn how leading organizations have leveraged technology to better enable change management in constantly evolving sales organizations and enhance adoption of sales solutions.
Hub16: ”Flexible” supply chain planning technology and its impact on B2B and ...Anaplan
Today, consumers expect retailers to engage and interact with them in the ways that best cater to their habits. Guy Courtin, Vice President and Principal Analyst at Constellation Research, has made his career defining a holistic view of B2B and B2C supply chain of goods and services. This session focuses on the touchpoints between the consumer, whether it's the individual at the B2C level or entities at the B2B level, and the commerce supply chain. As shoppers become more accustomed to multi-channel delivery, he predicts that the distinction between ”omnichannel commerce” and just plain ”commerce” will slowly erode. Hear Guy speak about the future of supply chain plannning in B2B and B2C companies, and how technology can assist in making this digital distruption a reality.
Hub16: How Pure Storage IT is driving rapid value across its business functionsAnaplan
Yousuf Khan, VP of IT at Pure Storage, shares how they rapidly implemented Anaplan to drive integrated business planning across their company, from Sales to Finance and Operations.
Hub16: Taking global compensation to the next level at IntelAnaplan
Intel has a transformational plan underway for its HR processes—and global compensation using Anaplan is just one part of that plan. Hear why the Intel compensation team selected Anaplan and where they want to go next in their transformation journey.
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
Hub16: Workforce planning at Tableau: Finding time compression and process ag...Anaplan
The document discusses Tableau's implementation of Anaplan for workforce planning. It summarizes that Tableau needed better visibility and faster modeling for headcount forecasting driven by growth, initiatives, and attrition. They implemented Anaplan over 5 months, testing for 3 more months. Anaplan provided dashboards and reports for current and forecasted headcount, recruitment pipelines, and Workday data imports. It resulted in better actuals-based forecasting, significantly reduced consolidation time, and gave teams more process agility and ownership of their data. Tableau is now testing Anaplan API integration with Workday and considering using Anaplan for company-wide budgeting and expense planning.
Hub16: Tyco: How to drive growth and efficiency through a global sales compen...Anaplan
Tyco has 7,000 sales employees, 300 different sales plans, and 70 individuals across the globe calculating compensation on a weekly basis across disparate systems for a multitude of verticals and products. In this session, Peter Orlando will discuss how Tyco has alleviated the pain and process of sales transformation. With Anaplan, Peter has led a transition from a local to enterprise-based sales model.
This document discusses how to link analytics to business strategy using a strategy map and decision architecture. It provides a simplified example of a strategy map that connects business objectives and goals to decisions, analytics capabilities, data infrastructure, and IT infrastructure. The strategy map is meant to help prioritize analytics investments by mapping them to immediate and long term business impacts. It also provides tips for implementing an analytics strategy such as starting with a small proof of value project and building incrementally. The document is from a company called Zeno Analytics that provides analytics strategy consulting services.
Sales Operations as the Change Agent of the Sales OrganizationApttus
Modern sales operations professionals manage more than tactical operations. They are the change agents of the sales organization, serving vital, strategic roles in organizational restructuring, compensation roll-outs, system deployments and more. Attend this session to learn how leading organizations have leveraged technology to better enable change management in constantly evolving sales organizations and enhance adoption of sales solutions.
Pure Storage + Gainsight | Delivering Customer Success at an Infrastructure C...Matthew Klassen
Pure Storage disrupted the infrastructure technology industry by simplifying data storage and adopting an innovative subscription model. Go behind the scenes to learn how Pure Storage drives success at every stage of the customer relationship.
Managing the Customer Journey to Drive RenewalsApttus
Effectively managing a renewal business is critical to driving growth of predictable, recurring revenue streams. However, many considerations must be carefully addressed like pricing, packaging, different types of renewals & assets, and even partners. Hear how one organization is managing the customer journey more effectively to cultivate a healthy renewal business.
Optimizing Inventory with Service Level Driven PlanningGreg Hartunian
The benefits of an optimized inventory are within every organizations reach but traditional approaches get in the way. Learn why traditional approaches fail and how Service Level Driven Planning can help
Realizing the Value of Digital Business – Effective Monetization StrategiesRinku Sharma
Andrew Dailey discusses how companies can accelerate their transition to digital business models. Traditional push marketing and long sales cycles are being replaced by pull marketing where customers can complete purchases online without salespeople. Customers now expect more control and transparency. Dailey outlines 13 "deadly sins" that inhibit agile monetization, like being unable to introduce new offers in under 90 days. He argues companies need integrated platforms and data-driven capabilities to provide consistent customer experiences across channels. Finally, Dailey compares where companies fall on benchmarks like invoice accuracy and financial close times, with laggards having siloed systems and best-in-class firms using agile integrated teams focused on capabilities.
Raj Vysetty, Manager e-Commerce &Analytics at DYN presented on data driven marketing at MassTLC's sales and marketing session "Inside the Head of the Data Driven Marketer"
Driving the Future of Sales Operations with Artificial IntelligenceApttus
Artificial Intelligence is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning and virtual assistants to increase sales efficiency and to increase margins and revenue.
In this presentation you will learn:
-What is AI
-Why AI now
-Case Study: How is Wolters Kluwer applying AI to Sales Operations
Join Apttus and Wolters Kluwer for a special presentation on about Artificial Intelligence and how it can improve sales, forecast visibility, and limit rogue discounting.
Leveraging Applied AI to Accelerate Digital Transformation and Maximize Busin...Apttus
Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...SAP Analytics
Learn how SAP BW/4HANA delivers big data warehouse solutions that meet your current and future business analytics needs in a rapidly changing data landscape and increase your organization’s success in the next generation of business.
#asksap Analytics Innovations Community Call - Take Action in 2017 with Innov...SAP Analytics
Learn more about the highly anticipated 2017 release of SAP BusinessObjects Lumira 2.0, the expanded modeling and scalable machine learning capabilities of SAP BusinessObjects Predictive Analytics 3.1, and the extended availability of SAP BusinessObjects Roambi.
Gill Graham has over 9 years of experience in business intelligence across various industries. She is skilled in database design, dimensional modeling, data governance, and leading projects. Currently, Gill is a Lead BI Developer at Tesco Bank where she manages data infrastructure and develops reporting, analytics, and insights. Previously, Gill held senior BI roles at Tesco Bank, NHS, Virgin Media, and Northern Rock where she delivered various data and reporting projects, streamlined processes, and coached colleagues.
SHEA Business Solutions is a consulting firm that helps clients leverage technology to meet business objectives. It has over 17 years of experience with hundreds of clients across industries like aerospace, defense, and manufacturing. SHEA specializes in key areas like ERP, business intelligence, sales and operations planning, and infrastructure. It has a track record of on-time and on-budget project delivery with many repeat clients.
Why Integration to ERP matters for Industrial ManufacturersApttus
This document discusses the importance of integrating industrial manufacturers' product lifecycle management (PLM), enterprise resource planning (ERP), and customer relationship management (CRM) systems. It provides examples of how integration between these systems allows for more efficient processes like design-to-release and quote-to-cash. Specifically, it highlights how the Apttus connector can integrate a manufacturer's SAP variant configurator into their CPQ solution to maintain consistent product data and pricing across both systems.
Creating a Single Source of Truth: Leverage all of your data with powerful an...Looker
With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segment, you can collect, store and analyze everything from click-stream and event data to transactional and behavioral data in your data warehouse.
Some of the topics this webinar will include:
-The advantages of a centralized data warehouse with Segment Warehouses
-Creating a data model to get your company on the same page with Looker Blocks
-Putting it all together: Best practices for making your data accessible to your end users
Putting the "S" in S&OP - Integrating Salesforce.com WebinarAVATA
This document discusses integrating Salesforce.com and Oracle Demantra for strategic planning. It describes how Power Integrations, a semiconductor manufacturer, uses Demantra to create a detailed sales forecast incorporating opportunities from Salesforce. This integrated forecast is used for production planning, sales goals, and financial projections. Key implementation points include manually flagging Salesforce opportunities for inclusion, defining an "opportunity window", making the process simple, and ensuring transparency. The benefits to Power Integrations are forecasting new business from Salesforce and building correct inventory levels.
The document discusses using data analytics to refine legal strategy and reduce spending. It provides examples of analytics on legal service types, law firm expenditures, and average billing rates. The analytics identified opportunities to reduce spending through bundled fixed fees, enforcing staffing guidelines, and recommending alternative service providers or automation. The presentation encourages developing short, medium, and long-term actions for clients to cut outside counsel costs based on analyzing lawyer and staff work.
Best Practices for Managing a Data-Driven Sales OrganizationApttus
Colin Kent discusses managing a data-driven sales organization with 3 key points:
1) Domo's Business Cloud Platform connects teams to data and people to improve business results in real-time.
2) Focusing on data helps align culture, measure impact, and set long-term vision.
3) Giving everyone access to up-to-date, interactive data from a single source improves forecasting, pipeline management, and performance across teams and individuals.
Achieving Sales Transformation and Delivering Overwhelming BenefitApttus
What happens after you’ve completed a Quote-to-Cash transformation project and measured a swift, substantial benefit for your company? If you’re Greg McLaughlin, you go and do it again, and again, and again! In this session, you’ll hear from a true Quote-to-Cash All-Star about how he did it, and gain insight on how you can orient your career and company to deliver overwhelming benefits.
The document discusses improving sales efficiency and effectiveness. It describes the story of how Aesynt, a hospital pharmacy automation company, implemented a salesforce automation solution to address pressures from rapid growth and outdated systems. The new system improved collaboration, customer experience, and managing complex sales. Aesynt saw improved win rates, deal sizes, and sales representative face time with customers as a result of adopting the new solution.
Why Analytics and to what level - By Novoniel DebNovoniel Deb
It's a very simple representation of how the benefits of Analytics can affect the business growth, even though the business is performing without it.
See my other articles attached in my profile as well.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
Cloud-Based Planning with Adaptive Insights is Enterprise ReadySenturus
See a cloud-based solution that provides robust, agile and secure self-service financial planning and reporting. View the webinar video recording and download this deck: http://www.senturus.com/resources/is-your-financial-planning-solution-keeping-pace-business/.
Senturus enterprise planning expert Ken O’Boyle, a 15-year planning veteran familiar with traditional on-premise planning tools, shares frank comparisons between solutions, and speaks about how Adaptive Insights can complement or replace on-premise solutions.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Pure Storage + Gainsight | Delivering Customer Success at an Infrastructure C...Matthew Klassen
Pure Storage disrupted the infrastructure technology industry by simplifying data storage and adopting an innovative subscription model. Go behind the scenes to learn how Pure Storage drives success at every stage of the customer relationship.
Managing the Customer Journey to Drive RenewalsApttus
Effectively managing a renewal business is critical to driving growth of predictable, recurring revenue streams. However, many considerations must be carefully addressed like pricing, packaging, different types of renewals & assets, and even partners. Hear how one organization is managing the customer journey more effectively to cultivate a healthy renewal business.
Optimizing Inventory with Service Level Driven PlanningGreg Hartunian
The benefits of an optimized inventory are within every organizations reach but traditional approaches get in the way. Learn why traditional approaches fail and how Service Level Driven Planning can help
Realizing the Value of Digital Business – Effective Monetization StrategiesRinku Sharma
Andrew Dailey discusses how companies can accelerate their transition to digital business models. Traditional push marketing and long sales cycles are being replaced by pull marketing where customers can complete purchases online without salespeople. Customers now expect more control and transparency. Dailey outlines 13 "deadly sins" that inhibit agile monetization, like being unable to introduce new offers in under 90 days. He argues companies need integrated platforms and data-driven capabilities to provide consistent customer experiences across channels. Finally, Dailey compares where companies fall on benchmarks like invoice accuracy and financial close times, with laggards having siloed systems and best-in-class firms using agile integrated teams focused on capabilities.
Raj Vysetty, Manager e-Commerce &Analytics at DYN presented on data driven marketing at MassTLC's sales and marketing session "Inside the Head of the Data Driven Marketer"
Driving the Future of Sales Operations with Artificial IntelligenceApttus
Artificial Intelligence is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning and virtual assistants to increase sales efficiency and to increase margins and revenue.
In this presentation you will learn:
-What is AI
-Why AI now
-Case Study: How is Wolters Kluwer applying AI to Sales Operations
Join Apttus and Wolters Kluwer for a special presentation on about Artificial Intelligence and how it can improve sales, forecast visibility, and limit rogue discounting.
Leveraging Applied AI to Accelerate Digital Transformation and Maximize Busin...Apttus
Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...SAP Analytics
Learn how SAP BW/4HANA delivers big data warehouse solutions that meet your current and future business analytics needs in a rapidly changing data landscape and increase your organization’s success in the next generation of business.
#asksap Analytics Innovations Community Call - Take Action in 2017 with Innov...SAP Analytics
Learn more about the highly anticipated 2017 release of SAP BusinessObjects Lumira 2.0, the expanded modeling and scalable machine learning capabilities of SAP BusinessObjects Predictive Analytics 3.1, and the extended availability of SAP BusinessObjects Roambi.
Gill Graham has over 9 years of experience in business intelligence across various industries. She is skilled in database design, dimensional modeling, data governance, and leading projects. Currently, Gill is a Lead BI Developer at Tesco Bank where she manages data infrastructure and develops reporting, analytics, and insights. Previously, Gill held senior BI roles at Tesco Bank, NHS, Virgin Media, and Northern Rock where she delivered various data and reporting projects, streamlined processes, and coached colleagues.
SHEA Business Solutions is a consulting firm that helps clients leverage technology to meet business objectives. It has over 17 years of experience with hundreds of clients across industries like aerospace, defense, and manufacturing. SHEA specializes in key areas like ERP, business intelligence, sales and operations planning, and infrastructure. It has a track record of on-time and on-budget project delivery with many repeat clients.
Why Integration to ERP matters for Industrial ManufacturersApttus
This document discusses the importance of integrating industrial manufacturers' product lifecycle management (PLM), enterprise resource planning (ERP), and customer relationship management (CRM) systems. It provides examples of how integration between these systems allows for more efficient processes like design-to-release and quote-to-cash. Specifically, it highlights how the Apttus connector can integrate a manufacturer's SAP variant configurator into their CPQ solution to maintain consistent product data and pricing across both systems.
Creating a Single Source of Truth: Leverage all of your data with powerful an...Looker
With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segment, you can collect, store and analyze everything from click-stream and event data to transactional and behavioral data in your data warehouse.
Some of the topics this webinar will include:
-The advantages of a centralized data warehouse with Segment Warehouses
-Creating a data model to get your company on the same page with Looker Blocks
-Putting it all together: Best practices for making your data accessible to your end users
Putting the "S" in S&OP - Integrating Salesforce.com WebinarAVATA
This document discusses integrating Salesforce.com and Oracle Demantra for strategic planning. It describes how Power Integrations, a semiconductor manufacturer, uses Demantra to create a detailed sales forecast incorporating opportunities from Salesforce. This integrated forecast is used for production planning, sales goals, and financial projections. Key implementation points include manually flagging Salesforce opportunities for inclusion, defining an "opportunity window", making the process simple, and ensuring transparency. The benefits to Power Integrations are forecasting new business from Salesforce and building correct inventory levels.
The document discusses using data analytics to refine legal strategy and reduce spending. It provides examples of analytics on legal service types, law firm expenditures, and average billing rates. The analytics identified opportunities to reduce spending through bundled fixed fees, enforcing staffing guidelines, and recommending alternative service providers or automation. The presentation encourages developing short, medium, and long-term actions for clients to cut outside counsel costs based on analyzing lawyer and staff work.
Best Practices for Managing a Data-Driven Sales OrganizationApttus
Colin Kent discusses managing a data-driven sales organization with 3 key points:
1) Domo's Business Cloud Platform connects teams to data and people to improve business results in real-time.
2) Focusing on data helps align culture, measure impact, and set long-term vision.
3) Giving everyone access to up-to-date, interactive data from a single source improves forecasting, pipeline management, and performance across teams and individuals.
Achieving Sales Transformation and Delivering Overwhelming BenefitApttus
What happens after you’ve completed a Quote-to-Cash transformation project and measured a swift, substantial benefit for your company? If you’re Greg McLaughlin, you go and do it again, and again, and again! In this session, you’ll hear from a true Quote-to-Cash All-Star about how he did it, and gain insight on how you can orient your career and company to deliver overwhelming benefits.
The document discusses improving sales efficiency and effectiveness. It describes the story of how Aesynt, a hospital pharmacy automation company, implemented a salesforce automation solution to address pressures from rapid growth and outdated systems. The new system improved collaboration, customer experience, and managing complex sales. Aesynt saw improved win rates, deal sizes, and sales representative face time with customers as a result of adopting the new solution.
Why Analytics and to what level - By Novoniel DebNovoniel Deb
It's a very simple representation of how the benefits of Analytics can affect the business growth, even though the business is performing without it.
See my other articles attached in my profile as well.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
Cloud-Based Planning with Adaptive Insights is Enterprise ReadySenturus
See a cloud-based solution that provides robust, agile and secure self-service financial planning and reporting. View the webinar video recording and download this deck: http://www.senturus.com/resources/is-your-financial-planning-solution-keeping-pace-business/.
Senturus enterprise planning expert Ken O’Boyle, a 15-year planning veteran familiar with traditional on-premise planning tools, shares frank comparisons between solutions, and speaks about how Adaptive Insights can complement or replace on-premise solutions.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Five Critical Success Factors for Embedded Analyticsibi
The document discusses five critical success factors for embedded analytics: 1) Tying embedded analytics to strategic business goals and planning, 2) Focusing on information visibility across the organization, 3) Ensuring better data access, 4) Providing real-time value, and 5) Ensuring constant visibility. It provides details on each success factor and examples of how embedded analytics can help achieve them. The document is presented as a slide deck for a presentation on embedded analytics.
While enterprise IT infrastructures are the key driver for the success of nearly every modern business, their costs for initial deployment and operational management can be astonishingly expensive. Costs related to the provisioning and maintenance of a complex IT ecosystem can grossly erode operational budgets and marginalize business successes and profitability. Faced with this reality, most organizations are pressured to reduce IT-related costs without diminishing service availability or performance.
Discover how rationalization practices can substantially reduce the cost of maintaining IT infrastructures while accelerating their effectiveness and reliability.
Using Analytics for Market Analysis and Improved Procurementaccenture
There are many factors that dictate the cost of goods - from competition to market trends to margin. It's important to develop the analytical skills of your team members to better equip them with the business intelligence to play a more profound role on the procurement team.
Learn how to gather and interpret important market data and procurement analytics and put it to work for your organization. Here are six important data points to consider when looking to improve your sourcing and procurement training.
The document discusses how organizations can leverage information through an information-led transformation to drive smarter business outcomes. It outlines how analyzing large amounts of structured and unstructured data in real-time can help optimize decisions, predict issues, and improve business performance. The key elements are applying business analytics, establishing a flexible information platform, and creating an information agenda strategy.
Webinar: 5 steps to maximize recurring revenue ServiceSource
Are you maximizing your recurring revenue performance?
Did you know $30 billion in recurring revenue goes unrenewed each year?
ServiceSource & Rockwell Automation share 5 proven best practices to help industrial system companies boost and retain more revenue.
Sage Business Intelligence Solutions ComparisonRKLeSolutions
This presentation outlines the differences between Sage Intelligence (SI) and Sage Enterprise Intelligence (SEI) for Sage 100, Sage 500 ERP and Sage X3.
An introduction to SAP Analytics Hub, a single portal that enables analytics users to access the right analytics at the right time in a curated environment
5 tips als je nu wilt starten met digital marketing analyticsAvanade Nederland
The document discusses tips for starting digital marketing analytics and the importance of digital marketing analytics. It provides 5 guidelines for digital marketing analytics: 1) Think big, start small, prove ROI fast, 2) Don't focus on a single silo, 3) Experiment before industrializing, 4) Fail fast, and 5) Be ready to act. Case studies are presented showing how various companies improved outcomes through digital marketing analytics.
ABD303_Developing an Insights Platform—the Sysco Journey from Disparate Syste...Amazon Web Services
Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services.
Developing an Insights Platform—the Sysco Journey from Disparate Systems to a...Amazon Web Services
This document summarizes Sysco Foods' journey to build a data lake on AWS to modernize their analytics platform. Some key points:
- Sysco migrated from disparate systems to a data lake on AWS to gain a consolidated view of customer, supplier and product data.
- The data lake provides immediate availability, security, broad capabilities and tools to support Sysco's analytics use cases.
- Sysco's ecosystem, called SEED, unlocks value from their data and allows experimentation through analytical sandboxes. It provides a foundation for data governance and scales with business needs.
- The migration involved improvements to people, processes and technology across ingestion, storage, processing
This document discusses how organizations can leverage big data and analytics for competitive advantage. It recommends that leaders 1) build a data-driven culture, 2) apply analytics to core business functions, 3) invest in software-driven analytics capabilities, 4) ensure strong privacy, security and governance, and 5) understand how to differentiate based on data and analytics. The document emphasizes becoming more data-driven, scaling analytics use cases, and establishing governance and an architecture to make data and insights accessible across an organization.
Topics including: The transformative value of real-time data and analytics, and current barriers to adoption. The importance of an end-to-end solution for data-in-motion that includes ingestion, processing, and serving. Apache Kudu’s role in simplifying real-time architectures.
The document discusses the importance of operationalizing analytics and productizing predictive models. It notes that while companies often focus on developing new models and hiring data scientists, executives only care about improvements that generate revenue or savings. As such, 60% of big data projects fail because they do not progress beyond piloting. To successfully operationalize analytics, companies need an integrated technology platform, well-defined processes, and the right mix of skills among data scientists and analysts. This includes a focus on communication, business skills, and leveraging new technologies rather than just mathematical abilities. Organizing analytics teams into a center of excellence also improves coordination and impact.
5 Steps to Achieving the Single Pane of Glass Across DevOps -- APM, NPM, Metr...DevOps.com
There are many systems that need monitoring -- Applications, Infrastructure, Network, Servers all producing metrics, logs, events etc. There are also many vendors selling their APM, NPM, Tracing, monitoring and alerting tools. But how does an organization get to that mythical single pane of glass where there is one consolidated view across these systems?
This webinar will look at 5 practical steps that our customers have taken on this journey and what business results they have seen as they have moved to a centralized metric and event store while still leveraging their existing investments in specialized tooling and applications.
The document discusses cognitive search and knowledge management. It notes that 53% of executives see knowledge management as important for innovation. Traditional knowledge management faces challenges around inefficiencies, integration, and consumerization of IT. The document promotes a cognitive approach using machine learning to personalized deliver relevant information. Key benefits include finding answers, recommending content, and connecting people. It provides examples of how cognitive knowledge management has helped companies like Cisco, ThermoFisher, and National Instruments.
The document discusses cognitive search and knowledge management. It notes that 53% of executives see knowledge management as important for innovation. Traditional knowledge management faces challenges around inefficiencies, integration, and consumerization of IT. The document promotes a cognitive, machine learning approach to knowledge management that can find answers, recommend content, and connect people through personalized delivery of information. Benefits include equipping a smarter workforce, tapping collective knowledge, and empowering continued insight. Case studies show how cognitive knowledge management helps Cisco, ThermoFisher, and National Instruments.
With a plethora of inventory and discovery tools, IT organizations often sink beneath an unreconciled data universe.
These slides, based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA), draw from extensive EMA research and consulting experience to explain how IT organizations can improve their effectiveness in ‘discovering the truth’ about their environments.
This document discusses the findings of a survey of 250 organizations regarding their use of advanced IT analytics (AIA). Key findings include: AIA is being used primarily for application performance monitoring and change/capacity management; most organizations are using multiple AIA solutions and integrating data from various sources; top benefits achieved are more efficient use of cloud/storage and faster problem/service delivery; and success rates are higher for organizations that support more roles, integrate ITSM, and capture interdependencies across services and infrastructure.
Similar to Increasing Business Value by Applying AFS Analytics (20)
These simple steps will help you understand your business basics and how to go about promoting and marketing your business to get the returns you want. There are certain business fundamentals that when followed give you the greatest chance of success. If you have already been working at your business and you are not getting the results you want, use this as a refresher guide to see where you may have missed something.
OTT stands for “Over the Top.” Think of it in terms of Netflix compared with your cable or satellite tv service. The opportunity is being driven by people cutting the cord and opting for picking the content they want to engage with, where, when, and on whatever internet-connected device they want. The ROI on OTT is through customer acquisition and retention: subscription income and lead generation.
The document announces an AFS Supply Chain Management user conference to take place from April 15-17 in Phoenix, AZ. It encourages clients to provide business testimonials or participate in case studies for a chance to win prizes from Amazon, Zebra, and ScanSource. The conference will feature industry highlights and vendor presentations on retail execution and trade promotion management. It also provides an overview of AFS' focus on customer support, increased R&D spending, collaboration, regional user meetings, automated testing, security, and documentation. Finally, it lists various CPG analytics capabilities including market modeling, trade promotion optimization, and sales and operations planning.
This document provides an overview and summary of the Food Safety Modernization Act (FSMA) and its implementing rules. It discusses why food safety rules are needed due to foodborne illness outbreaks. It summarizes the key provisions and requirements of FSMA, including hazard analysis and risk-based preventive controls, standards for produce safety, and rules for foreign suppliers and sanitary food transportation. The document outlines requirements for written food safety plans, recordkeeping, training of qualified individuals, and recall plans. It provides context on the rules aimed at improving food safety from farm to table.
FDA recalls are accelerating; consumer safety is paramount and the perils to your business of a product recall are real. Are you going to wait until the problem hits you or be prepared with systems that make your life easier? AFS has made a living for 35 years helping guide food distributors as they grow their businesses.
This document discusses strategies for optimizing trade promotion spending and analyzing promotion performance. It notes that over $200 billion is spent annually on trade promotions in the consumer packaged goods industry. Traditional approaches to promotions are becoming less effective as sales growth slows. The document recommends using post-promotion analysis to understand base volume, promotion pricing and execution, competitive activity, and which promotion types drive the most sales. It suggests this analysis can provide insights to optimize future promotion planning, such as identifying the most effective price points, spending, and timing of promotions. The overall goal is to maximize the ROI and effectiveness of trade spending.
Director of Product Management and specialist in the Trade planning and management space, Joe Cartwright talks about increasing business value with AFS TPM Retail.
Joe Bellini, AFS CEO delivers opening remarks at the AFS Trade Promotion Management Customer Event and the Ritz-Carlton, Grande Lakes in Orlando Florida, Feb 2018
The document discusses features of AFS Technologies' warehouse management system (WMS) that can help third-party logistics (3PL) companies grow their business. The WMS offers fully integrated 3PL functionality for receiving, storage, assembly, shipping, and billing customers. It allows for unique billing rules per customer, automatic invoicing, and a customer web portal for order entry, status, and invoices. The WMS also features owner-followed inventory and custom product mix codes to support multiple owners. It integrates with ERP systems and supports adding new customers and suppliers easily.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
The document discusses a presentation about a client portal product. It introduces two speakers from the company and outlines the agenda which includes discussing the current client portal, the concept of business freedom, and future capabilities. Screenshots are included that demonstrate sample client portal features and capabilities. The presentation emphasizes how the client portal allows customers flexibility and freedom in their business operations and technology choices.
AFS Delivery Execution Solutions - Sophistication and Simplicity in Product D...Global Creative Group, Inc
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
The document describes a point-of-purchase (POP) execution solution developed by AFS Technologies Inc. It highlights key features such as being fast to deploy, easy to use, requiring no IT skills, and offering a low cost and flexible solution. It discusses how the solution can help consumer goods companies optimize efficiency, effectiveness, and productivity through features such as territory planning, route optimization, order management, audit forms, and real-time reporting.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
We have a packed agenda with hands-on tutorials, customer spotlights, product roadmaps and peer-to-peer sessions for like-minded system users. We are also covering industry best practices that impact long-term success in today’s business environment, including retail execution, business intelligence, mobility and data synchronization.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
What makes this easy to consume?
The top right chart shows a simple line chart for Contract Exposure vs Spend. The cards on the left can be selected to filter the Exposure vs Spend to the selected Group instead of the Whole Company.
What actionable insights are obtained from this dashboard?
This dashboard can quickly indicate of our contract exposure is higher or lower than anticipated and we can adjust this in the TPM solution. Action: The user navigates back into TPM FS, amends the contract and edits the estimated volume to the new desired amount.
Questions from Joe:
What is the definition difference between Exposure and Spend?
Exposure – is the total dollar estimate of the contract including any flat fee items like a booth fee, golf outing, or Ad Fee (i.e. – Contract has 1,200 cases with $1.00 per case rebate for the year & $500 AD – the total exposure is $1,700)
Spend – is the validated settlement to date. In the above example, we may have paid $600 in rebates (600 case x $1.00) and the $500 AD Fee so the spend would be $1,100.
How do we adjust in TPM for higher/lower….what is the action?
What we see happen is either a sales rep overstates the volume (i.e. – they enter 10,000 Case for every product on the contract and the customer only purchases that volume for a few of the products) and the contract is overexposed. Or, they create a contract and enter 1 case for each item which causes them to be underexposed.
Joe: So is the actionable insight to catch data entry errors?
Yes, to correct data entry errors AND to true up estimates that are not producing the volumes that they were originally expecting.
What makes this easy to consume?
The use of graphics to allow the user to quickly identify base and incremental volumes. The use of a barchart quickly identifies the bump from the Promotional Period. The Grid to the right shows comparisons for Neilson vs TPM data so the Actual and Forecast values can be compared.
What actionable insights are obtained from this dashboard?
Insights into how close our planning/forecast numbers were. This can help with the planning of similar promotions.
What makes this easy to consume?
Top Grid only shows trucks that are late for their arrival and uses a easy to see bar chart to show how late. The driver information is in the same grid so the driver can be contacted immediately from the dashboard to see if they are close or need to be reshedueled.
What actionable insights are obtained from this dashboard?
The grid below shows a list of trucks that have been checked and are ready to be received. If the Truck that is late will still be a significant amount away, one of the waiting trucks can be unloaded in order to keep operations flowing smoothly.
What period of time is the average minutes late averaged over?
For this example we only averaged them for that day. However, we discussed that they might want to increase the time range and find out if there were “habitual offenders”. If they found out there are, they might change the appointment process
How does number of late orders relate to an average minutes late?
This was so we could see if maybe it was just a fluke and the drivers occasionally were stuck in Traffic, or if one of the carrier lines might not be scheduling their drivers well and causes them to be late most of the time. If we do find that a certain carrier was late much more than the others, the warehouse could put a remediation plan in place to push back on the carrier.
Is this the average number of late orders?
Yes, it is the number of late orders that were late today for each carrier, but they might expand the time range to look for patterns
If not what is the comparison take away?
The take away is to allow for the carriers to be graded on how they are keeping their schedules because late trucks could cause missed outbound orders due to lack of product, etc.
1st is real time to see what’s late. For example, an inbound delivery expected today that hasn’t showed up yet. At some point if more than X minutes late, the warehouse will consider reallocating the dock door and resources for other inbound deliveries. The warehouse may even turn the late carrier away and make them come back the next day.
The 2nd part is analytics for long term planning to determine when contracts come up if the warehouse should stop using certain carriers or suppliers based on their poor performance. Or for the warehouse to better schedule the door and resources according to the delivery times. This “Report Card” provides concrete evidence to the # of times the carriers/suppliers are late and the average amount of times they are late for. The period could change based on the warehouse. For example -- by week, by month or by quarter. Such as for the past month, 10 carriers out of 50 were late, and the worst offender had 40 out of 50 deliveries late averaging more than 60 minutes past the scheduled delivery time. Many customers I’ve spoken to have said they would like to talk to their carriers or supliers but don’t because they don’t have statistic to go to them with.
What makes this easy to consume?
The use of the Scatter Plot makes it easy to see how sales reps are doing by the where they are located on the chart. Once a sales rep is selected the trend for actual sales, projected sales until the end of the period and the Target for the end of the period are displayed.
What actionable insights are obtained from this dashboard?
Once a sales rep is selected, a list of deals that that Sales Rep can participate in is shown, the allows for reps who are not meeting their target to see deals that could put them back on target.
What makes this easy to consume?
The use of the Scatter Plot makes it easy to see how sales reps are doing by the where they are located on the chart. Once a sales rep is selected the trend for actual sales, projected sales until the end of the period and the Target for the end of the period are displayed.
What actionable insights are obtained from this dashboard?
Once a sales rep is selected, a list of deals that that Sales Rep can participate in is shown, the allows for reps who are not meeting their target to see deals that could put them back on target.
What makes this easy to consume?
It is easy to consume given the varied types of charts and analytic elements that provide a very comprehensive view of the stock status of the different products in the stores, by aggregating information from several sales cycles at once (which in turn will provide enough elements to predict future behaviors).
What actionable insights are obtained from this dashboard?
From the OOS dashboard, information consumers can enhance their model of Retail Activity Optimization: Those stores that are getting constant OOS reports will have increased relevance to be visited (and even visits can be triggered automatically from the results of the report) – at the same time, in those visits the activity of shelf replenishment/order entry will have a higher priority as a remediation action from the OOS information. All of this actions may be taken either in AFS RE Enterprise or AFS POP Retail Execution.
Questions from Joe:
What is the definition difference between Demand and Sales?
Essentially, Demand is what the consumers want/need – it is based in seasonality, customer interest, promotion push, etc. This information comes directly from the third party (Nielsen, IRi, etc.) and it is calculated by them using proprietary formulas. On the other hand, sales are what customers actually purchased. Combining both is how you generate growth on your brands.
Why are we carrying 200 days of inventory in some product?
Some products carry 200 days of inventory as an abnormality coming from the original data. It can mean that, given the demand, the product existence could last for over 200 days (which means, the product is not rotating well enough). It could also mean that the customer is carrying a virtual inventory. In either case a sales rep should visit the store and see what’s going on.
Andres updated the graphic to take out the longer days
Is the actionable insight to change the frequency of store visits up or down?
When things like this happen, the actionable insight is not only about changing the frequency of the visits (which actually happens, it gets increased), but to trigger an almost immediate visit to the store within the plan of the rep. What happens in RE is that the rep/reps that have the store allocated on their territories will get a signal to visit the store, either as an enforced planned visit or a reminder to schedule a visit to the store within the working week. Another important thing is what happens inside the visit – depending on the type of alert generated, RE will automatically schedule a product inventory count, a shelf restocking or a promotion set up in order to correct the detected issue.
What makes this easy to consume?
The combination of dashboard types – bar chart, pie chart, meter chart, etc., colors and numbers used in the dashboard screen will help the client easy to consume the information.
What actionable insights are obtained from this dashboard?
We are reporting service performance as well as sales and credit activities.
We are supporting and identifying the reasons for Non-Service.
No Money – resolution focus by sales and credit departments
Manager Not In – resolution focus by sales and distribution departments
Actionable Insight: Review the Store Profile in DSD to determine if the store profile has the correct hours when a manager will be available
Truck Breakdown – resolution focus by distribution and maintenance departments
Actionable Insight: Review Truck inspections in the DSD system to ensure they are being completed and see if the breakdown was something that could have been avoided by a better/different Pre-Trip Check (if so, modify the pre-check report in DSD)
Product Not Needed – resolution focus by sales and ordering departments
Actionable Insight: Validate for each store if this is a recurring pattern and possibly change the visit frequency in DSD
Store Closed - resolution focus by sales and distribution departments
Actionable Insight: The Sales Administrators will update the store profile in the DSD system after some investigation to:
If the store was closed for good mark the store as no longer active
We just visited outside of their business hours (so we would change the hours in the DSD system to prevent this in the future)
It was a one time occurrence in which the store was temporarily closed due to weather, etc.
DSD Office solution will issue performance alerts to appropriate people in appropriate departments for resolution.
For credits we are displaying the sales and credit activities and displaying a monthly trend of activity for determining improvement in process.
There are reports within DSD Office where the sales and manufacturing department can drill down to the credit reasons that were recorded by the driver in the DSD Mobile system.
From Joe:
Why would it be bad/red to have a higher number of Total Account Service?
Colors have been updated
There are no actionable insights described in the scenario, just references to report generation and alerts.
We have added some actionable insights above