The document discusses how unified communications (UC) can be improved by leveraging data and insights to influence behaviors and decision making. Traditionally, UC focused on enabling information sharing, but it is proposed that UC can have a more ambitious goal of positively influencing behaviors. The challenges with traditional UC are that data exists across many disparate systems, manual reporting is required to obtain fragmented insights, and decisions are made based on limited information. It is suggested that starting UC with data, insights, and information can help drive better responses and outcomes. Intelligent data visualization is presented as a missing piece that can elevate UC by providing a constant flow of relevant insights across the enterprise.
Change Management: The Secret to a Successful SAS® ImplementationThotWave
Whether you are deploying a new capability with SAS® or modernizing the tool set that people already use in your organization, change management is a valuable practice. Sharing the news of a change with employees can be a daunting task and is often put off until the last possible second. Organizations frequently underestimate the impact of the change, and the results of that miscalculation can be disastrous. Too often, employees find out about a change just before mandatory training and are expected to embrace it. But change management is far more than training. It is early and frequent communication, an inclusive discussion, encouraging and enabling the development of an individual, and facilitating learning before, during, and long after the change.
This paper not only showcases the importance of change management but also identifies key objectives for a purposeful strategy. We outline our experiences with both successful and not so successful organizational changes. We present best practices for implementing change management strategies and highlighting common gaps. For example, developing and engaging “Change Champions” from the beginning alleviates many headaches and avoids disruptions. Finally, we discuss how the overall company culture can either support or hinder the positive experience change management should be and how to engender support for formal change management in your organization.
This document discusses data-driven decision making and the role of emotions in decisions. It begins by introducing the topics to be covered: data creation, collation, information creation, collation, and decision making. It then discusses how data is created tactically but decisions require strategic data on options and impacts. Information technology helps integrate and filter data. Decisions inherently involve emotions as rewards and punishments shape choices even when data and options remain constant. Presenting options with emotional impacts, like consequences of inaction, can facilitate decisions. Understanding decision-makers' emotions allows effectively framing information to guide choices. Overall, the document argues decisions stem from both objective information and subjective emotions, so both must be considered to enable well-informed
Growing Health Analytics Without Hiring new StaffThotWave
This document summarizes a presentation about growing health analytics capabilities without hiring new staff. It discusses healthcare's data problem and how survival depends on competing well with data. The solution presented is to develop existing staff into "data champions" through training. The presentation outlines investing in self-service data access, using analytic tools, developing enterprise analytics literacy, and training curious staff to analyze data and become independent. This empowers organizations to leverage their data without extensive hiring.
The document discusses how skills shortages constrain business growth and how increasing employee proficiency through an intelligent workplace can help address this issue. It defines an intelligent workplace as a next-generation intranet that delivers relevant insights to employees by gathering information from across systems, understanding context, and recommending related content. The document provides steps for designing an intelligent workplace using intelligent search capabilities, including indexing information from across systems, delivering proactive insights in context, integrating knowledge into work flows, and leveraging collective workforce wisdom for predictive insights.
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
Data Driven Decision Making PresentationRussell Kunz
The document discusses how to implement a data-driven decision making process that drives cultural change at community colleges, noting that such a process requires defining value for all stakeholders, collecting and analyzing relevant data to identify issues and root causes, and using the findings to implement changes that are evaluated through post-testing to determine effectiveness.
Technology is not the Answer: Why "digital" is not the most important aspect ...Megan Hurst
Shortly after its establishment in 1970, researchers at Xerox Parc invented the personal computer, complete with graphical user interface, windows, icons and a mouse. Yet, Xerox completely failed to successfully market and sell the personal computer and is still today known for making photocopiers and mainframes. In 1975, an employee at Kodak built the first digital camera. In 2012, Kodak filed for bankruptcy, having had its photographic film business disrupted by competitors invested heavily in promoting the "new" technology of digital photography. So why do large organizations (including academic institutions) fail to evolve with the times? And what is your strategy for supporting evolution and innovation in your organization? How do you adapt to and benefit from change and new ideas? In 2018, Athenaeum21 was commissioned to conduct an environmental scan of how and why digital strategies in a range of organizations succeed, and also why they "fail." We define "digital strategy" as "a plan of action for the adoption of institutional processes and practices to support and/or transform the organization and culture to effectively and competitively function in an increasingly digital world." Our research included a literature review, web review, and interviews with thought leaders and practitioners in digital transformation and digital skills-building in higher education, non-profits, and corporations. The report we produced provides examples of successful practices undertaken by organizations actively managing digital transformation and benefiting from their investments in innovation in Canada, the United States and Europe, as well as examples of so-called "failed" digital strategies. The answers as to why digital strategies succeed or fail are complex, but all hinge on six key elements that we identified during the research: 1. People, 2. Culture, 3. Leadership, 4. Organizational Alignment, followed by 5. Data, and 6. Technology. We will present our findings and model, with examples of how and why people, culture, leadership, and organizational alignment are more important for digital transformation than data and technology. We would like to have a robust discussion of how this model fits with your own local context.
Change Management: The Secret to a Successful SAS® ImplementationThotWave
Whether you are deploying a new capability with SAS® or modernizing the tool set that people already use in your organization, change management is a valuable practice. Sharing the news of a change with employees can be a daunting task and is often put off until the last possible second. Organizations frequently underestimate the impact of the change, and the results of that miscalculation can be disastrous. Too often, employees find out about a change just before mandatory training and are expected to embrace it. But change management is far more than training. It is early and frequent communication, an inclusive discussion, encouraging and enabling the development of an individual, and facilitating learning before, during, and long after the change.
This paper not only showcases the importance of change management but also identifies key objectives for a purposeful strategy. We outline our experiences with both successful and not so successful organizational changes. We present best practices for implementing change management strategies and highlighting common gaps. For example, developing and engaging “Change Champions” from the beginning alleviates many headaches and avoids disruptions. Finally, we discuss how the overall company culture can either support or hinder the positive experience change management should be and how to engender support for formal change management in your organization.
This document discusses data-driven decision making and the role of emotions in decisions. It begins by introducing the topics to be covered: data creation, collation, information creation, collation, and decision making. It then discusses how data is created tactically but decisions require strategic data on options and impacts. Information technology helps integrate and filter data. Decisions inherently involve emotions as rewards and punishments shape choices even when data and options remain constant. Presenting options with emotional impacts, like consequences of inaction, can facilitate decisions. Understanding decision-makers' emotions allows effectively framing information to guide choices. Overall, the document argues decisions stem from both objective information and subjective emotions, so both must be considered to enable well-informed
Growing Health Analytics Without Hiring new StaffThotWave
This document summarizes a presentation about growing health analytics capabilities without hiring new staff. It discusses healthcare's data problem and how survival depends on competing well with data. The solution presented is to develop existing staff into "data champions" through training. The presentation outlines investing in self-service data access, using analytic tools, developing enterprise analytics literacy, and training curious staff to analyze data and become independent. This empowers organizations to leverage their data without extensive hiring.
The document discusses how skills shortages constrain business growth and how increasing employee proficiency through an intelligent workplace can help address this issue. It defines an intelligent workplace as a next-generation intranet that delivers relevant insights to employees by gathering information from across systems, understanding context, and recommending related content. The document provides steps for designing an intelligent workplace using intelligent search capabilities, including indexing information from across systems, delivering proactive insights in context, integrating knowledge into work flows, and leveraging collective workforce wisdom for predictive insights.
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
Data Driven Decision Making PresentationRussell Kunz
The document discusses how to implement a data-driven decision making process that drives cultural change at community colleges, noting that such a process requires defining value for all stakeholders, collecting and analyzing relevant data to identify issues and root causes, and using the findings to implement changes that are evaluated through post-testing to determine effectiveness.
Technology is not the Answer: Why "digital" is not the most important aspect ...Megan Hurst
Shortly after its establishment in 1970, researchers at Xerox Parc invented the personal computer, complete with graphical user interface, windows, icons and a mouse. Yet, Xerox completely failed to successfully market and sell the personal computer and is still today known for making photocopiers and mainframes. In 1975, an employee at Kodak built the first digital camera. In 2012, Kodak filed for bankruptcy, having had its photographic film business disrupted by competitors invested heavily in promoting the "new" technology of digital photography. So why do large organizations (including academic institutions) fail to evolve with the times? And what is your strategy for supporting evolution and innovation in your organization? How do you adapt to and benefit from change and new ideas? In 2018, Athenaeum21 was commissioned to conduct an environmental scan of how and why digital strategies in a range of organizations succeed, and also why they "fail." We define "digital strategy" as "a plan of action for the adoption of institutional processes and practices to support and/or transform the organization and culture to effectively and competitively function in an increasingly digital world." Our research included a literature review, web review, and interviews with thought leaders and practitioners in digital transformation and digital skills-building in higher education, non-profits, and corporations. The report we produced provides examples of successful practices undertaken by organizations actively managing digital transformation and benefiting from their investments in innovation in Canada, the United States and Europe, as well as examples of so-called "failed" digital strategies. The answers as to why digital strategies succeed or fail are complex, but all hinge on six key elements that we identified during the research: 1. People, 2. Culture, 3. Leadership, 4. Organizational Alignment, followed by 5. Data, and 6. Technology. We will present our findings and model, with examples of how and why people, culture, leadership, and organizational alignment are more important for digital transformation than data and technology. We would like to have a robust discussion of how this model fits with your own local context.
This document discusses how companies can address skills shortages by creating an intelligent workplace that enhances employee proficiency. It recommends focusing on proficiency over efficiency by giving employees access to insights from across a company's information systems. An intelligent workplace powered by intelligent search can index all this disparate information, understand employee contexts, and deliver relevant insights proactively. It explains how to design such a workplace with intelligent search by putting all information at employees' fingertips, delivering contextual insights, integrating knowledge sharing into workflows, and using analytics and machine learning to provide predictive insights.
ADV Slides: Why Organizations Don’t Change When They Need ToDATAVERSITY
So you have a great idea for the data in your organization. Maybe it’s been acknowledged by some prominent leaders, but nothing ever happens. When the speaker has done his Action Plans for organizations over the years, he’s heard more questions from clients directed elsewhere in the organization about how to get the initiatives moving than he has heard about the initiatives he is creating. Organizations are mostly not good at moving good ideas forward.
Why does this happen and what can be done about it? The speaker will share his experience with utilizing his favorite skill – getting things done in enterprises.
Dislodge the logjams, make data a key asset, and make your organization an attractive, progressive place for data talent in 2021.
Building an Effective & Extensible Data & Analytics Operating ModelCognizant
This document provides a framework for building an effective and extensible data and analytics operating model. It outlines a 3-step methodology: 1) Develop a business model focused on data; 2) Design the operating model focusing on integration and standardization of processes and data; 3) Design the operating model architecture detailing how people, processes and technology are organized. It identifies 9 core components of the operating model including managing processes, data, analytics services, and governance. The document provides examples of how to detail the subcomponents and design rules to integrate and standardize data across the organization.
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
How Technology has Transformed the Role of HRJonathan Gunter
This document discusses how technology has transformed human resources (HR). It begins with an overview of the early stages of HR when the focus was on personnel matters. As the economy shifted to being knowledge-based, HR took on a more strategic role. HR systems and technology then evolved from basic HR information systems to integrated applications and analytics using big data. Now, predictive analytics allow HR to identify retention risks, talent problems, and good/struggling managers based on internal and external data. Overall, the document outlines the progression of HR from an administrative function to a strategic business partner leveraging data and technology.
The document provides findings from a survey of 150 data leaders about leveraging big data at their companies. Key findings include:
- Nearly all respondents believe their company is headed in the right direction with big data due to investments in new talent, technologies, and alignment on usage. However, only about half say big data is extensively leveraged across all business units currently.
- Respondents face challenges like data silos, legacy storage systems, and a lack of standardized measurement for big data initiatives. Finding skilled analytics talent is also difficult.
- Resources needed for success vary but include better tools, centralized talent management, and more information on the business value of big data.
1) The document discusses how organizations can become data-driven by extracting value from big data sources.
2) A key challenge is overcoming managerial and cultural barriers to effectively analyze and link diverse data sources.
3) The document provides several recommendations for organizations, including developing case studies to justify insights from big data, focusing on achievable steps to drive value, and leveraging social media analytics to enable real-time analysis and correlations between data.
This document discusses the development of a data strategy for an organization. It begins by introducing the presenter and organization. It then covers why a data strategy is needed to address common data issues. The strategy should define what the data team will and will not do. Developing the strategy requires gathering information, consulting other teams, and linking it to the organization's mission. Key aspects of the strategy include objectives, principles, delivery areas, and ensuring it is concise enough to be accessible and remembered.
Vertex aims to establish an analytical data repository and business intelligence program to extract value from information silos. The summary proposes a strategic framework with the following elements:
1. Establish a BI Competency Center to provide leadership and governance over the program.
2. Implement a BI Foundation consisting of standards, skills, processes, and technologies to evolve the organization from being data-constrained to information-enabled.
3. Take an incremental approach, first addressing current needs while building capabilities to support more advanced, strategic analytics and proactively manage the business over time.
The Most Effective Analytics Trends of 2019: Insights From Howard DresnerAggregage
Join Howard Dresner, founder and chief research officer of Dresner Advisory Services, as he shares his research on the analytics market from surveys with over 5,000 organizations. You’ll learn about the key drivers to business success with analytics and how predictive analytics can drive revenue.
The document provides 12 guidelines for ensuring success in data quality projects, based on case studies and research. The guidelines include: documenting costs of poor data quality; prioritizing a small, high-value problem; setting measurable objectives; aligning business and IT; ensuring management support; identifying data uses and flows; educating employees; designating data stewards; using proven methods; selecting proven tools; using a phased rollout; and tracking return on investment. Following these guidelines can help organizations effectively implement data quality initiatives.
Building a Data-Driven Culture by Olof Hoverfält discusses how to build a data-driven culture at Sanoma Games. Key points include:
1) Being data-driven requires an organization that supports lean development, a data-driven culture with accessible tools, shared goals, and management that fosters self-direction.
2) A data-driven culture is built through intrinsic motivation by making the benefits of data visible, not through coercion. Transparency, autonomy and ownership are important.
3) Continuous hypothesis-driven testing should be the standard approach across functions to gain insights and steer development initiatives toward business goals.
Attensa is an up-and-coming venture-backed company that launched in 2005 in Portland, Oregon with 30 employees. The document discusses how Attensa helps harness web feed workflows to consistently and instantly keep people informed without overwhelming them. It provides examples of how Attensa can be used as an indispensable research, collaboration, and delivery tool across various use cases like sales, marketing, and business intelligence.
Case Study: Analytics at CMC Markets: from measuring clicks to driving businessJohn Sinke
CMC Markets struggled with inconsistent analytics across websites and channels that led to double counting. They implemented Google Analytics for web analytics and campaign tracking across their portfolio for consistent measurement. They also implemented a single channel analytics provider to de-duplicate marketing costs and provide attribution modeling. This improved their understanding of customer acquisition channels, lifetime value, and drove business decisions to improve sales.
The document discusses applying Lean principles to information management to improve value and reduce costs. It describes how focusing on customer needs, optimizing information flow, reducing waste, and continuously improving can maximize the benefits of information and knowledge. Lean Information aims to specify value, identify value streams, pull information from customers, and strive for perfection in information management.
Michael Sampson - Reimagining the way we workAmcom
The rapidly changing environment is changing the way that the public sector is expected to deliver services. How can organisations do more when they are expected to do more with less?
The key could be through better utilisation of our most important resource – our people.
And the way to deliver better outcomes is through the relationship of people and technology. International Collaboration specialist Michael Sampson, was a special guest of Amcom as he shared insights into his work with global organisation on how to unlock business value from the marriage between technology and people.
Planning for an Oil & Gas Operation Well Life Cycle FrameworkJeff Dyk
A system for putting together the people, processes, and technology that fuel the best decisions and the maximum return on investment along the life cycle of an oil and gas asset.
Planning your Digital Workplace: A Systems-Based Planning ApproachChristian Buckley
When deploying a “Digital Workplace,” where do you begin? What is needed is an iterative, strategic, and systems-based approach of identifying core challenges at the team and company level, working with key stakeholders to identify appropriate strategies, building a solution using a scalable, repeatable, and sustainable change model. This approach drives stakeholder engagement, and ensures a more holistic solution that aligns with the needs of the business at every level. In this presentation, we walk through a systems-based planning approach for Enterprise Collaboration. Topics will include:
--Engaging leaders in a systems analysis, identifying high-priority needs and challenges
--Outlining a set of targeted and strategic actions based on common customer scenarios
--Developing an implementation plan to support successful operational and improvement strategies
The intent of this presentation is to help organizations incorporate systems-based planning into their Digital Workplace planning processes, using real-world customer examples, and to receive tips on how to fold these best practices into their own strategies.
The document outlines objectives and tasks for information technology (IT) planning, management, operations, development, and security within an organization. The objectives are to establish tools to align IT with strategic goals, improve services, accountability, and security. Management tasks involve creating listener profiles to drive targeted content. IT operations will collect listener data to create data sources and transfer to a data warehouse for analysis. The purpose is to use business analytics to support operational decision-making and achieve business targets.
This document discusses how companies can address skills shortages by creating an intelligent workplace that enhances employee proficiency. It recommends focusing on proficiency over efficiency by giving employees access to insights from across a company's information systems. An intelligent workplace powered by intelligent search can index all this disparate information, understand employee contexts, and deliver relevant insights proactively. It explains how to design such a workplace with intelligent search by putting all information at employees' fingertips, delivering contextual insights, integrating knowledge sharing into workflows, and using analytics and machine learning to provide predictive insights.
ADV Slides: Why Organizations Don’t Change When They Need ToDATAVERSITY
So you have a great idea for the data in your organization. Maybe it’s been acknowledged by some prominent leaders, but nothing ever happens. When the speaker has done his Action Plans for organizations over the years, he’s heard more questions from clients directed elsewhere in the organization about how to get the initiatives moving than he has heard about the initiatives he is creating. Organizations are mostly not good at moving good ideas forward.
Why does this happen and what can be done about it? The speaker will share his experience with utilizing his favorite skill – getting things done in enterprises.
Dislodge the logjams, make data a key asset, and make your organization an attractive, progressive place for data talent in 2021.
Building an Effective & Extensible Data & Analytics Operating ModelCognizant
This document provides a framework for building an effective and extensible data and analytics operating model. It outlines a 3-step methodology: 1) Develop a business model focused on data; 2) Design the operating model focusing on integration and standardization of processes and data; 3) Design the operating model architecture detailing how people, processes and technology are organized. It identifies 9 core components of the operating model including managing processes, data, analytics services, and governance. The document provides examples of how to detail the subcomponents and design rules to integrate and standardize data across the organization.
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
How Technology has Transformed the Role of HRJonathan Gunter
This document discusses how technology has transformed human resources (HR). It begins with an overview of the early stages of HR when the focus was on personnel matters. As the economy shifted to being knowledge-based, HR took on a more strategic role. HR systems and technology then evolved from basic HR information systems to integrated applications and analytics using big data. Now, predictive analytics allow HR to identify retention risks, talent problems, and good/struggling managers based on internal and external data. Overall, the document outlines the progression of HR from an administrative function to a strategic business partner leveraging data and technology.
The document provides findings from a survey of 150 data leaders about leveraging big data at their companies. Key findings include:
- Nearly all respondents believe their company is headed in the right direction with big data due to investments in new talent, technologies, and alignment on usage. However, only about half say big data is extensively leveraged across all business units currently.
- Respondents face challenges like data silos, legacy storage systems, and a lack of standardized measurement for big data initiatives. Finding skilled analytics talent is also difficult.
- Resources needed for success vary but include better tools, centralized talent management, and more information on the business value of big data.
1) The document discusses how organizations can become data-driven by extracting value from big data sources.
2) A key challenge is overcoming managerial and cultural barriers to effectively analyze and link diverse data sources.
3) The document provides several recommendations for organizations, including developing case studies to justify insights from big data, focusing on achievable steps to drive value, and leveraging social media analytics to enable real-time analysis and correlations between data.
This document discusses the development of a data strategy for an organization. It begins by introducing the presenter and organization. It then covers why a data strategy is needed to address common data issues. The strategy should define what the data team will and will not do. Developing the strategy requires gathering information, consulting other teams, and linking it to the organization's mission. Key aspects of the strategy include objectives, principles, delivery areas, and ensuring it is concise enough to be accessible and remembered.
Vertex aims to establish an analytical data repository and business intelligence program to extract value from information silos. The summary proposes a strategic framework with the following elements:
1. Establish a BI Competency Center to provide leadership and governance over the program.
2. Implement a BI Foundation consisting of standards, skills, processes, and technologies to evolve the organization from being data-constrained to information-enabled.
3. Take an incremental approach, first addressing current needs while building capabilities to support more advanced, strategic analytics and proactively manage the business over time.
The Most Effective Analytics Trends of 2019: Insights From Howard DresnerAggregage
Join Howard Dresner, founder and chief research officer of Dresner Advisory Services, as he shares his research on the analytics market from surveys with over 5,000 organizations. You’ll learn about the key drivers to business success with analytics and how predictive analytics can drive revenue.
The document provides 12 guidelines for ensuring success in data quality projects, based on case studies and research. The guidelines include: documenting costs of poor data quality; prioritizing a small, high-value problem; setting measurable objectives; aligning business and IT; ensuring management support; identifying data uses and flows; educating employees; designating data stewards; using proven methods; selecting proven tools; using a phased rollout; and tracking return on investment. Following these guidelines can help organizations effectively implement data quality initiatives.
Building a Data-Driven Culture by Olof Hoverfält discusses how to build a data-driven culture at Sanoma Games. Key points include:
1) Being data-driven requires an organization that supports lean development, a data-driven culture with accessible tools, shared goals, and management that fosters self-direction.
2) A data-driven culture is built through intrinsic motivation by making the benefits of data visible, not through coercion. Transparency, autonomy and ownership are important.
3) Continuous hypothesis-driven testing should be the standard approach across functions to gain insights and steer development initiatives toward business goals.
Attensa is an up-and-coming venture-backed company that launched in 2005 in Portland, Oregon with 30 employees. The document discusses how Attensa helps harness web feed workflows to consistently and instantly keep people informed without overwhelming them. It provides examples of how Attensa can be used as an indispensable research, collaboration, and delivery tool across various use cases like sales, marketing, and business intelligence.
Case Study: Analytics at CMC Markets: from measuring clicks to driving businessJohn Sinke
CMC Markets struggled with inconsistent analytics across websites and channels that led to double counting. They implemented Google Analytics for web analytics and campaign tracking across their portfolio for consistent measurement. They also implemented a single channel analytics provider to de-duplicate marketing costs and provide attribution modeling. This improved their understanding of customer acquisition channels, lifetime value, and drove business decisions to improve sales.
The document discusses applying Lean principles to information management to improve value and reduce costs. It describes how focusing on customer needs, optimizing information flow, reducing waste, and continuously improving can maximize the benefits of information and knowledge. Lean Information aims to specify value, identify value streams, pull information from customers, and strive for perfection in information management.
Michael Sampson - Reimagining the way we workAmcom
The rapidly changing environment is changing the way that the public sector is expected to deliver services. How can organisations do more when they are expected to do more with less?
The key could be through better utilisation of our most important resource – our people.
And the way to deliver better outcomes is through the relationship of people and technology. International Collaboration specialist Michael Sampson, was a special guest of Amcom as he shared insights into his work with global organisation on how to unlock business value from the marriage between technology and people.
Planning for an Oil & Gas Operation Well Life Cycle FrameworkJeff Dyk
A system for putting together the people, processes, and technology that fuel the best decisions and the maximum return on investment along the life cycle of an oil and gas asset.
Planning your Digital Workplace: A Systems-Based Planning ApproachChristian Buckley
When deploying a “Digital Workplace,” where do you begin? What is needed is an iterative, strategic, and systems-based approach of identifying core challenges at the team and company level, working with key stakeholders to identify appropriate strategies, building a solution using a scalable, repeatable, and sustainable change model. This approach drives stakeholder engagement, and ensures a more holistic solution that aligns with the needs of the business at every level. In this presentation, we walk through a systems-based planning approach for Enterprise Collaboration. Topics will include:
--Engaging leaders in a systems analysis, identifying high-priority needs and challenges
--Outlining a set of targeted and strategic actions based on common customer scenarios
--Developing an implementation plan to support successful operational and improvement strategies
The intent of this presentation is to help organizations incorporate systems-based planning into their Digital Workplace planning processes, using real-world customer examples, and to receive tips on how to fold these best practices into their own strategies.
The document outlines objectives and tasks for information technology (IT) planning, management, operations, development, and security within an organization. The objectives are to establish tools to align IT with strategic goals, improve services, accountability, and security. Management tasks involve creating listener profiles to drive targeted content. IT operations will collect listener data to create data sources and transfer to a data warehouse for analysis. The purpose is to use business analytics to support operational decision-making and achieve business targets.
Digital technologies are changing the way people work. This requires workforce planning to understand how jobs will change, aligning workforce and IT strategies, and preparing workers for new roles. Effective implementation requires understanding organizational culture, providing staff experiences to enable innovation, and having integrated workforce data and management systems.
Digital technologies are changing the way people work. This requires workforce planning to understand how jobs will change, aligning workforce and IT strategies, and preparing workers for new roles. Effective implementation requires understanding organizational culture, providing staff experiences to enable innovation, and having integrated workforce data and management systems.
These slides were presented by Pauline Chow, Lead Instructor in Data Science & Analytics, General Assembly for her talk at Data Science Pop Up LA in September 14, 2016.
Finance Today: reimagined to drive impactMicrosoft
Finance executives today are helping to develop corporate strategy and then funding and executing that strategy through financial planning and performance management. As a result, finance executives are becoming increasingly responsible for IT initiatives. Technologies like big data, cloud, mobile, and social computing are transforming how business is done today, and each has far-reaching implications for finance.
The What, Who, When, Where, Why and How of Information Capabilities Framework (ICF). The SPICE Factors would be used to determine current state, transition and future state. Slides discuss maturity model of ICF.
This document discusses how business intelligence can benefit financial institutions. It defines business intelligence and describes how it involves collecting and analyzing data to improve business decisions. It then provides examples of how business intelligence can help various parts of the financial industry, including retail banking, insurance, and investment banking, by identifying profitable customers, optimizing marketing, reducing costs and risks, and improving customer service.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
The best companies boost revenues by not just building advanced pricing analytics programs but also developing relevant capabilities - people, processes, tools. A successful revenue growth program is a journey, and this presentation highlights the four areas where companies need to focus to become leaders. Brian Elliott (CEO of McKinsey Periscope) gave a version of this presentation at the Professional Pricing Society event in Oct., 2014.
1) Sustainable value creation requires establishing well-defined cross-functional processes and high-quality information source control.
2) Capturing relevant information at the source and maintaining it in a standardized database helps avoid duplicity of data and reworking while allowing efficient use of information across teams.
3) Implementing seamless integration of information workflows and technology tools is essential for successful companies to establish source control and disseminate information across organizations.
The document discusses business analytics and decision making. It defines key concepts like data warehousing, data mining, business intelligence, descriptive analytics, predictive analytics, and prescriptive analytics. It explains how these concepts are used to extract insights from data to support decision making in organizations. Examples of how different types of analytics can be applied in a retail context are provided.
This document discusses virtual organizations and related concepts. It begins by defining a virtual organization as a network of corporations enabled by information and communication technologies to be flexible and meet market dynamics. Key points include:
- Virtual organizations remove horizontal and vertical boundaries and are boundaryless.
- Technologies like computer telephony integration and mobile data allow individuals to work from dispersed locations while staying connected to their virtual organization.
- Both advantages like increased productivity and disadvantages like difficulty controlling employees remotely are discussed.
The document discusses strategies for making data-driven decisions during an economic downturn. It recommends using data and analytics to inform planning and program implementation. Data-driven decision making has emerged as a best practice to make more informed choices. The presentation provides examples of how community colleges can use data from their operations and enrollments to guide decisions with limited resources. Partnerships are suggested as a strategy to build capacity without increasing budgets.
Microsoft Sharepoint allows companies to:
Improve business insight by centrally managing processes, content, and analyzing disparate business data.
Improve communication and collaboration by allowing staff to easily work together from anywhere at any time through a shared, secure platform.
Save costs by hosting the solution in the cloud without needing to invest thousands for on-premise enterprise software and hardware.
Information Governance: Reducing Costs and Increasing Customer SatisfactionCapgemini
The document discusses best practices for information governance, including how it can help organizations reduce costs and increase customer satisfaction. It provides an overview of SAP and Capgemini's information governance best practices and addresses common questions clients have around data issues. Information governance is important because data is a key organizational asset, and governance helps ensure consistent, accurate data is available for reporting and decision making. Lack of governance can lead to issues like multiple versions of the truth and inefficient processes. The benefits of effective information governance include reduced costs through improved data management, better decisions from leveraging high-quality data, and increased customer satisfaction.
Cost & benefits of business analytics marshall sponderMarshall Sponder
The document discusses turning data into useful business insights through business intelligence and data enablement approaches. It advocates starting with departmental BI systems and linking them together, while also taking an "enablement" approach to integrate data from different silos. The document recommends conducting a data enablement audit to map data sources, identify measurement gaps, and develop standardized reporting to provide insights for objectives like sales, lead generation, and brand awareness. It emphasizes selecting the right team and approach to optimize the degree of insights that can be gained from enterprise data.
The document discusses the traditional pillars of executive decision making as being evidence/data and intuition. It introduces systems thinking as a new third pillar that provides the missing link between data and intuition. Systems thinking focuses on understanding how data and work flows through a company from start to finish. A CRM solution can help implement systems thinking by facilitating data management, storage, and visualization to map information flow within an organization. To make the best decisions, organizations should leverage all three pillars - data, intuition, and systems thinking.
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Intelligent Data And Content Visualisation: Missing Link For A More Value-Adding UC Strategy
1. BRIDGING THE GAP BETWEEN
UC, EFFECTIVE DECISION MAKING
AND PRODUCTIVITY
Yoeri Callebaut – EMEA Marketing Director
2. Effective Communication Keeps
Organisations Moving
• Connections are the basis of every well-functioning entity. Any society,
organisation, system or process depends on connections being made.
• Good communication is identified by 30% of business leaders as the most
determining factor for employee and customer engagement and thus
business success.
3. A Broadened Scope
For Unified Comms
Traditional goal of UC: To enable
the sharing of information and
communication between different
stakeholders across the enterprise
• Using a set of tools and platforms that allow
people to connect, share and interact
• Turning the process as seamless and frictionless
and efficient as possible.
• But UC can have a more ambitious aim: to
help influence people’s behaviours in a
positive way leading to better business
results
IMPRESSIONS
Improve the way the brand
is perceived by all
employees
CONNECTIONS
Create meaningful
connections between
organisation and staff
AWARENESS
Make sure everyone
is aligned on
corporate goals
INTERACTIONS
Establish engaging two-
way communications
between organisation and
employees
SHARING
Allow employees to share
content, provide feedback
and comment
ACTIONS
Provide the right
information / insights
allowing better
decision making
INTELLIGENT UNIFIED
COMMUNICATIONS
INFLUENCING
BEHAVIOURS
4. UC Today VS The Bigger Picture
Text
Voice
Intranet
Internet
Email
Video
conference
Desktop
apps
Data and information stored in many
disparate systems. Manual or delayed
reporting to obtain fragmented insights.
UC technology facilitates
communication and exchange
of ideas etc
Decisions are made,
based on information
/ insights
Disparate
Data
sources
5. UC Today VS The Bigger Picture
Text
Voice
Intranet
Internet
Email
Video
conference
Desktop
apps
Data and information stored in many
disparate systems. Manual or delayed
reporting to obtain fragmented insights.
UC technology facilitates
communication and exchange
of ideas etc
Decisions are made,
based on information
/ insights
Existingbarriers
Disparate
Data
sources
6. Where Does UC Start?
DATA INSIGHTSINFORMATION
Raw numbers
that we capture
following a
certain standard
A collection of data
points that we can use
to understand
something about
what's being measured
Which actions to take?
For that we need
insights!
Understand what's
going on with a
particular situation,
context or
phenomenon
RESPONSE
Using the
insights in order
to achieve a
desired outcome
and achieve
positive results
UC today?
UC where it
should start
7. $3.5
TRILLION SPEND ON IT
SYSTEMS BY COMPANIES
x5
FASTER DECISIONS MADE
BY COMPANIES THAT USE
ANALYTICS CORRECTLY
58%
OF BI LEADERS SAY
REPORTING CONTINUES
TO BE THE STRONGEST
DRIVER OF INNOVATION
$143
BILLION ESTIMATED VALUE OF
THE BI AND ANALYTICS AS A
WHOLE
Sources: Gartner, Pringle & Company, Forrester, Bain & Company, Gallup, Aberdeen
Group)
Data on Business Investments in BI
and Data Driven Decision Making
8. 27%
OF WORKERS AGREE
THAT THE INFORMATION
THEY CURRENTLY
RECEVE HELPS WITH
THEIR WORK LOAD
60%
OF BUSINESS AND
TECHNOLOGY DECISION -
MAKERS REPORT TIME
CONCERNS WITH CREATING/
UPDATING DASHBOARDS
6.1
DAYS IT TAKE TO GET
REPORTS BUILT WITH
TRADITIONAL BI TOOLS
64%
OF BUSINESS AND
TECHNOLOGY DECISION –
MAKERS HAVE DIFFICULTY
GETTING CLEAR ANSWERS
FROM THEIR DASHBOARD
METRICS
Sources: Gartner, Pringle & Company, Forrester, Bain & Company, Gallup, Aberdeen Group)
Data on Business Investments
in BI VS Impact
10. • A lot of data and information that exists within the company, in many systems, platforms,
databases and processes is often not transformed into useful insights
• The data and information that is made available requires a lot of manual work, reporting,
analysis etc., is costly and often comes late after the facts
• Insights are not communicated / shared well internally and even less externally, are not
democratically available or even hard to find (e.g. on intranets)
• Communicating information & decision making is often done in a sub-optimal way and
with low reach (1-to-1, departmentalised, …)
In other words, traditional UC is not achieving its maximum impact
and potential due to lack of constant real time relevant information
and insights exchanges across the enterprise, resulting in sub optimal
decision making and loss of productivity, revenue and profitability
The Lost Opportunities
11. The Missing Piece
of the Puzzle
Elevate UC with visual communications and real
time visual performance management
Intelligent Data &
Content Visualisation
12. A More
Productive Model
Intelligent visual technology can provide a
constant solid base for efficient enterprise wide
communications and performance management
strategy.
Creating a more connected, informed and
engaged workforce, nourishing a more efficient
usage of UC tools all together and an overall
more efficient and productive environment,
leading to better performances.
Enhanced
UC
More
connected,
aligned and
productive
organisation
Cross platform
enterprise wide
visual
communications
Unified cross
system data &
information
Segmented
visual
message
delivery –
informed
employees and
clients
13. Communication Criteria to
Influence Behaviours
DATA INSIGHTSINFORMATION RESPONSE
So that the following flow can be established
Format &
Appeal
Automation
Reach &
Scalability
Message
Absorption
Relevance Actionability
Easy
Management
14.
15. Humans are
Wired for
Visual
Comms
People remember
NASDAQ
Compared to 10% of what they
hear and 20% of what they read
80%Of what they SEE
Visuals are processed
60,000X faster
In the brain than text
Format &
Appeal
Message
Absorption
17. REAL TIME MASS AND SEGMENTED / PERSONALISED COMMUNICATION
Automation
ACQUIRE
PROCESS
VISUALISE
18. Has rapidly and drastically changed the way we behave and how people, companies
and organisations connect and interact. Use this disruption as an advantage.
Reach &
Scalability
19. Make information readily available without much effort on visual immediate platforms
>>> Higher and Faster Information Uptake
>>> Higher Engagement and Call-to-Action Uptake
>>> IMPACT
Easy
Message
Absorbtion
20. Connecting
The Dots Across
The Enterprise
Providing the right information at the right time
depending on the target audience and their
need for specific insights.
Direct targeting.
Get critical information to
who needs it most.
Allows segmentation of your
audience. Deliver messaging to
different locations, departments
or groups.
Allows you to connect all
areas of your business on a
global scale.
One-to-One
One-to-Few
One-to-Many
Relevance
21. Real Time Cross-
System Info / Insights
Use data collectors to extract critical fields,
synthesize the important data and format it for
simultaneous display on multiple endpoints. Real
time nature provides actionability.
Empower staff on all levels by democratically
sharing insights across the company through
clever visual comms.
Actionability
22. Produce Once, Publish Everywhere
For any system or strategy to be
successful it has to me easy to
manage and maintain
The choice of content management
systems when adding intelligent visual
comms to your total UC strategy is
crucial
>>> Easy to manage
>>> Empower and facilitate
Easy
Management
25. Head of Business Analytics Group for a North American
Financial Services Company
Deloitte
“A little bit of the right information at the moment
of truth is worth far more than all the information
in the world two weeks after the fact.”
27. A Typical Journey of Daily Operational
and Tactical Decision Process
Processes and
systems generate
operational data +
big data
Potential issue occurs
negatively impacting
performance or positive
opportunity arises
Data across
systems, processes
and / or departments
gets aggregated
Issue or
opportunity is
‘hidden’ in the
internal or
external data
Data gets
captured &
processed
Reports are
created
Managers
receive reports
Reports are
analyses for
relative insights
and information
Decisions
can be
made
Actions based off
of decisions are
communicated to
employees,
meetings and
alignments held
using UC tools
Actions
take place
DAY 1 DAY 2 DAY 3 DAY 4 DAY 5 DAY 6 DAY 7-8 DAY 9> DAY 10+
It takes on average 6.1 days
to get a report (slide 4)Did you know? It takes 6.1 days to get reports built with traditional BI tools
28. Typical Journey with
Intelligent Data and Content Visualisation
Daily operational
performance Data
and Big Data
Performance metrics
and content are
acquired, aggregated
and structured
Potential
issue or
opportunity
occurs
Intelligent visual real
time dashboards
present issue or
opportunity
immediately to staff
and managers across
the enterprise
Staff and managers
get presented with
best potential solution
to issue automatically
Multi channel
approach makes
information / insights
and actions to be
taken available any
time anywhere
Well informed staff and
management align efficiently
using latest generation UC
tools and take pro-active
action to uphold high
performance levels
All management,
executive management
as well as all staff see
impact of decisions and
actions as real time
performance updated
immediately
Performance is
maintained and
improved, company
results positively
impacted
ON THE SPOT - INSTANTANEOUSLY
Reports at
the end of
the month
in green
30. Internal
Communications
Department
s / Teams
• Control room
• Contact
Centres
• Customer
Service
• Marketing
• Comms
Teams
• Legal
Segmented messaging per
audience and per region
Emergency Notice:
System Goes Down
Administrator gets
automated notifications
Endpoints
• Video Walls
• IC Screens
• Kiosks
• Desktop
Widgets
• Mobile App
• Executive
Dashboards
External
Communications
Endpoints
• Video Walls
• Screens
• Kiosks
• Mobile App
Segmented messaging per
audience and per region
Groups
• Impacted
Passengers
• Clients
• Suppliers
• Order
Services /
Police
Visual comms created in
central CMS and sent
straight to all endpoints
32. Elevator
Screens
Building sensors detect
emergency
Visual comms created in central
CMS and sent straight to all
endpoints
Kiosk
around
facilities
Regular IC
Screens
Visual
Desktop
Widget
Mobile App /
Hub
Emergency
Services
Other
buildings /
departments
informed
Automated Triggers
33. Outcomes:
Double Impact!
• More effective business done using
current UC tools and systems
because better informed people
• Better and more impactful
communications enterprise wide
• More engagement
• More efficient operations
• Objectives reached more often
34. About RMG
Almost 4 decades of experience in orchestrating transformational
digital visual experiences aimed at helping organisations positively
influence people’s behaviours and decision making
35. Symon is founded. A producer of LED wallboards
to contact centres and other data driven
environments providing real-time performance
statistics to employees.
1980
Symon acquired Target Vision, moving the
company towards the visualisation of rich
media digital signage across a wider
range of visualisation platforms.
2003
Simon acquired its largest European competitor
Dacon, making the company the largest
European player in the real time content and
data visualisation space. The company became
known as Symon Dacon.
2008
Through the merger of Symon Dacon and RMG
media, the company becomes RMG Networks, a full
scale turnkey intelligent visual communications
solutions provider, listed on the NASDAQ.
2012
RMG completes its transformation cycle
through the launch of Korbyt and KorbytGO,
completing its vast portfolio of products,
services and solutions and taking RMG into
new markets such as retail and hospitality.
2017
36. The New Journey of
Visual Communications
CREATE MANAGE INTERACT OPTIMISE DELIVER
Consultancy
(RMG Transform)
RMG CMS
(Korbyt)
RMG #Social
RMG Play
RMG Analytics MAX LED Displays
Media Players
37. Powerful CMS System
• Actively supports and encourages a smart multi-platform communications strategy.
• Powers up your enterprise-wide visual communications eco-system across the widest possible range of digital interfaces.
• Connects your brand / organisation to your target audience, respecting their preferences and journey with regards to
acquiring and consuming information in the modern digital age.
• Provides full control and easy accessibility from content creation to publishing.
38. A Multi-Platform
Communication Strategy
Scalability
Cloud based or on-premise,
DSAAS model
Connectivity
Connects to 3rd party systems
and databases
Usability
Hyper intuitive flow and WYSIWYG
user interface
Versatility
Support a variety of technologies,
players and scripting languages
Measurability
Comprehensive analytics suite
Manageability
Segment content according to a
range of parameters
39. BEYOND DIGITAL SIGNAGE
At RMG we don’t just display information.
Our turnkey technology solutions turn data into information and information into
real-time actionable insights. Our solution acts as a value adding layer tapping
into systems, platforms and processes, in order to:
• Empower data and content
• Engage employees
• Inspire consumers
• Inform people
• Enable systems
• Enhance performance
• Facilitate decision making
• Optimise processes
Positively influence
engagement, behavior and
performance
Slide ok for me, fits with stand artwork
General note: we are NOT allowed to have any Robotico or special fonts …
Slide ok?
Natalie, I need to change text in artwork to be more corporate!
Connections: Create meaningful connections between the organisation and staff
Awareness: Make sure everyone is aligned on corporate goals
Interactions: Establish engaging two-way communications between organisation and employees
Sharing: Allow employees to share content, provide feedback and comment
ACTIONS: Provide the right information / insights allowing better decision making
Impressions: improve the way the brand is perceived by all employees
The story here is that on the left we need something that presents that there is a LOT of information and insights flaoting around in and around the organisation (domt know how to visually put that), yet little of it gets communicated to the people using UC technology to align and communicate with one another (the middle section) to then in the end make decisions (last part)
The story here is that on the left we need something that presents that there is a LOT of information and insights flaoting around in and around the organisation (domt know how to visually put that), yet little of it gets communicated to the people using UC technology to align and communicate with one another (the middle section) to then in the end make decisions (last part)
Slide ok
Slide ok
Slide ok
Slide ok?
Can we make this visually more appealing in a clever artwork? Maybe use same colours as slide 3?
Slide ok ?
Blend in the 8sec / 9sec pictograms in a better way, if I can get those icons in blue then I can just add them to the white background.
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
Blend in the 8sec / 9sec pictograms in a better way, if I can get those icons in blue then I can just add them to the white background.
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
Add small RMG logo in right bottom corner in black
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
Maybe other pic to suit the rest of the pres?
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
Hos should pics be incorporated and are the the right pics?
Add logo in black right bottom corner
How should we best incorporate the info in the bubbles on top slide (see also next slide as each slide has a bubble on it referring to slide 13)
Adapt text:
Gamification Transform the work space environment with applied digital gamification solutions, integrated into your company’s UC strategy and performance management tactics
Res mssg IS OK
Social Media Integration: Take engagement a step further in your UC strategy by integrating live employee and user generated content from any social media source within your UC. Transform monologues into dialogues and put people in the centre.
FOCUS on the right information at the right moment to the right people within the organisation
❛❛
In an effective analytical culture, users do not want data analytics to give answers so much as to set parameters, winnowing down a large number of variables to find the few that really matter.
❜❜
Christopher Frank, Vice President, Financial Services Firm
- The Economist Intelligence Unit Limited 2013
I have NO idea how to visualise this !!!
Basically we have an emergeny and the CMS send out life segmented into to all endpoits reAching ll target audiences immediately
I have NO idea how to visualise this !!!
Basically we have an emergeny and the CMS send out life segmented into to all endpoits reAching ll target audiences immediately