Aligning HR & Finance: How ReddyIce Transformed to Market LeaderProformative, Inc.
Effectively managing resources is challenging for any company, and a lack of visibility into information on operational factors that impact margins and drive demand makes it nearly impossible. Despite the fact that companies dedicate 36 percent of revenues to human capital, many accept having less than 20/20 vision into the return they’re getting from this huge investment. How are companies leveraging technology to enable systems across the enterprise (from HR to Finance) to communicate with each other to deliver the real-time information company leaders need to optimize company investments, and the consumption of company resources.
Join us as Elliott Lester, VP of IT at ReddyIce shares how his company was able to leverage enterprise-wide visibility to break down operational silos, transform processes, improve product margins, and develop actionable metrics to drive the allocation of key company resources to transform from a company on the brink of extinction to a market leader with sustainable competitive advantage.
Manish Patel, Global Vice President of Collaborative Solutions, will join Elliott in sharing actionable advice for companies to leverage
How the CFO can Fuel Sales with Data InspirationDun & Bradstreet
Growth and profitability are driven by relationships. Finance and sales are increasingly compelled to work together to drive customer value and company profitability. Learn how together, with a data-inspired approach to collaboration, they can discover new ways to improve customer relationships, optimize risk and opportunity and build a long-term sustainable growth.
1) Data is a strategic lever and fundamental building block for driving organizational growth. Companies typically grow through market expansion, new buyers, new offerings, acquisitions, and productivity.
2) Marketers face challenges in understanding market opportunities, matching customer personas to contacts, assessing the impact of new offerings and acquisitions, and optimizing processes.
3) The top priorities for contact data management are acquiring new contacts and cleansing front-end and back-end data to improve data quality and downstream performance metrics.
The document discusses marketers' reliance on intuition versus data-driven decision making. A study found that most marketers still rely too heavily on intuition. Developing the right balance of intuition and analytics is key to success. While data is increasingly available, many marketers lack the skills to use it effectively in decision making. Top performing marketers are comfortable with ambiguity, can ask strategic questions based on data, and focus narrowly on higher-level goals by filtering out irrelevant information and data points. As data grows, this ability to filter noise will become more important for marketers.
How Credit Departments Can Build Relationships and Drive GrowthDun & Bradstreet
As Finance organizations increasingly become drivers of growth, Credit departments can take a lead role in data strategy and management. With smart data on customers and prospects, Credit can be a powerful force in contributing to sales and identifying new business opportunities.
The document discusses three emerging hazards in risk management: 1) The risk and strategy disconnect due to a lack of data integration and use, 2) The misuse and siloed nature of data which can undermine risk management, and 3) Missing relationship links between data, risks, people, and teams which pose the biggest risk. It also provides a risk profile quiz and discusses how finance leaders can use integrated, high-quality data and analytics to strengthen risk management and help their organizations summit.
This document provides information about Gary W. Griffin and his company. Some key details include:
- Gary W. Griffin is the Managing Partner of a company founded in 2004 located in Fayette, Georgia that focuses on small and medium sized businesses and non-profits.
- The company has over 50 years of combined business experience across public and private sectors.
- They provide strategic planning, balanced scorecard development, knowledge accumulation, and other services to help clients make better data-driven decisions and improve organizational performance.
- Their philosophy is to provide accurate, complete and timely information to clients to support effective decision making.
Aligning HR & Finance: How ReddyIce Transformed to Market LeaderProformative, Inc.
Effectively managing resources is challenging for any company, and a lack of visibility into information on operational factors that impact margins and drive demand makes it nearly impossible. Despite the fact that companies dedicate 36 percent of revenues to human capital, many accept having less than 20/20 vision into the return they’re getting from this huge investment. How are companies leveraging technology to enable systems across the enterprise (from HR to Finance) to communicate with each other to deliver the real-time information company leaders need to optimize company investments, and the consumption of company resources.
Join us as Elliott Lester, VP of IT at ReddyIce shares how his company was able to leverage enterprise-wide visibility to break down operational silos, transform processes, improve product margins, and develop actionable metrics to drive the allocation of key company resources to transform from a company on the brink of extinction to a market leader with sustainable competitive advantage.
Manish Patel, Global Vice President of Collaborative Solutions, will join Elliott in sharing actionable advice for companies to leverage
How the CFO can Fuel Sales with Data InspirationDun & Bradstreet
Growth and profitability are driven by relationships. Finance and sales are increasingly compelled to work together to drive customer value and company profitability. Learn how together, with a data-inspired approach to collaboration, they can discover new ways to improve customer relationships, optimize risk and opportunity and build a long-term sustainable growth.
1) Data is a strategic lever and fundamental building block for driving organizational growth. Companies typically grow through market expansion, new buyers, new offerings, acquisitions, and productivity.
2) Marketers face challenges in understanding market opportunities, matching customer personas to contacts, assessing the impact of new offerings and acquisitions, and optimizing processes.
3) The top priorities for contact data management are acquiring new contacts and cleansing front-end and back-end data to improve data quality and downstream performance metrics.
The document discusses marketers' reliance on intuition versus data-driven decision making. A study found that most marketers still rely too heavily on intuition. Developing the right balance of intuition and analytics is key to success. While data is increasingly available, many marketers lack the skills to use it effectively in decision making. Top performing marketers are comfortable with ambiguity, can ask strategic questions based on data, and focus narrowly on higher-level goals by filtering out irrelevant information and data points. As data grows, this ability to filter noise will become more important for marketers.
How Credit Departments Can Build Relationships and Drive GrowthDun & Bradstreet
As Finance organizations increasingly become drivers of growth, Credit departments can take a lead role in data strategy and management. With smart data on customers and prospects, Credit can be a powerful force in contributing to sales and identifying new business opportunities.
The document discusses three emerging hazards in risk management: 1) The risk and strategy disconnect due to a lack of data integration and use, 2) The misuse and siloed nature of data which can undermine risk management, and 3) Missing relationship links between data, risks, people, and teams which pose the biggest risk. It also provides a risk profile quiz and discusses how finance leaders can use integrated, high-quality data and analytics to strengthen risk management and help their organizations summit.
This document provides information about Gary W. Griffin and his company. Some key details include:
- Gary W. Griffin is the Managing Partner of a company founded in 2004 located in Fayette, Georgia that focuses on small and medium sized businesses and non-profits.
- The company has over 50 years of combined business experience across public and private sectors.
- They provide strategic planning, balanced scorecard development, knowledge accumulation, and other services to help clients make better data-driven decisions and improve organizational performance.
- Their philosophy is to provide accurate, complete and timely information to clients to support effective decision making.
How Finance & Marketing Can Accelerate Growth with Data InspirationDun & Bradstreet
Traditionally, marketing has been in the driver’s seat when it comes to revenue growth, while finance tracked numbers back in the garage. With information that was siloed and hard to quantify, the revenue engine often failed to reach top speed. Learn how finance and marketing can work together to accelerate growth with data inspiration.
This document discusses strategies for simplifying analytics. It recommends focusing on insights that are important for customers, stakeholders, and employees rather than trying to analyze all possible data. Specific strategies include using next-gen business intelligence and data visualization to improve decision making; applying data discovery techniques to uncover patterns; deploying analytics applications to simplify advanced analytics; and harnessing techniques like machine learning to reduce human effort and produce predictions. The goal is to generate insights that lead to tangible outcomes through a faster, simpler analytical approach.
Josh's Nerd Squad needs to expand its operations but requires financing. To convince financiers to provide funds, the business will conduct customer surveys to collect quantitative and qualitative data on demand, costs, and resources needed. This data will be analyzed and used to build an in-depth business model, determine the company's creditworthiness, and show financiers the need for expansion.
- Data and analytics capabilities have advanced significantly in recent years due to growing data volumes, more powerful algorithms, and improved computing power. However, most companies have captured only a fraction of the potential value identified in 2011.
- Organizational challenges are the biggest barriers to extracting more value from data. Talent shortages, especially of "business translators" who can apply analytics, also limit progress.
- Data and analytics are changing the basis of competition by enabling new business models and winner-take-all dynamics in some industries. Leading companies use analytics not just to improve operations but to disrupt entire industries.
This document summarizes the findings of a 2017 enterprise analytics study. It finds that analytics has become mainstream across industries and business functions. Most companies report high levels of analytics adoption and satisfaction, seeing benefits across finance, sales, marketing and supply chain. However, many companies still face obstacles around budgets, technology, security and skills. The document recommends that companies create a cultural transformation around analytics, develop hybrid analytics expertise models, and rapidly adapt to emerging technologies like machine learning and AI to stay ahead on the analytics road ahead.
The State of B2B Lead Nurturing - 2014 ReportBizoInc
In May 2014, Bizo, in association with Oracle Marketing Cloud, surveyed more than 500 business executives about their companies’ lead nurturing challenges and strategies. The survey revealed that, even as the importance of marketing’s role has grown, many organizations are still struggling to develop comprehensive, multi-channel lead nurturing programs, and that tremendous opportunities lie ahead.
Sustained growth and profit require aligning employees, customers, strategy, and processes. Engagement is key to alignment and is measured by satisfaction, commitment, pride, loyalty, purpose, advocacy, initiative, persistence and energy. High engagement leads to improved performance, productivity, safety, and lower turnover while low engagement has opposite effects. Alignment must be tailored to each organization and measured regularly using diagnostic tools to identify areas for improvement.
Wild Card Management: How to Predict and Leverage a Disruptive Future | Jim ...UCICove
Uncertainty is the most significant source of both challenge and opportunity confronting About UCI Applied Innovation:
UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market.
About the Cove @ UCI:
To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts.
Follow us on social media:
Facebook: @UCICove
Twitter: @UCICove
Instagram: @UCICove
LinkedIn: @UCIAppliedInnovation
For more information:
cove@uci.edu
http://innovation.uci.edu/
Anti-Bribery and Corruption Compliance for Third PartiesDun & Bradstreet
In this white paper, Kelvin Dickenson, Managing Director of D&B Global Compliance Solutions, discusses thoughtful approaches to buidling a scalable, effective and proportionate anti-corruption program for third-party due dilligence.
Breaking Down Benefits: How to Leverage Data to Better Your Employees' Health...Aggregage
We need to shift away from the focus on purchasing healthcare and instead, focus on how we can create health for our employees. By incorporating dashboards in our benefits selection process, we can watch for trends in benefits and leverage that data to lower costs, retain employees, and attract new talent. Join Darrell Moon, CEO of Orriant, to learn if your benefits selection is meeting your employees' needs.
Deloitte’s pro bono and skills-based volunteering programs are key components of our commitment to leveraging the skills and experience of our people to make an impact that matters in our communities.
How to Use Employee Feedback for Business ImprovementRobin Schooling
This document discusses how to use employee feedback for business improvement through a 5 step process: 1) Clarifying the purpose of gathering feedback; 2) Gathering feedback using various methods; 3) Analyzing both quantitative and qualitative data while avoiding biases; 4) Correlating the feedback data with other organizational data to identify relationships; 5) Developing an action plan with goals, timelines, and accountability to enact changes based on the findings. The overall goal is to increase engagement and performance by collecting, analyzing, and acting on employee feedback.
Building a Customer-Obsessed Enterprise (Webinar Slides)Qualtrics
The document discusses how companies need to become customer-obsessed by focusing on building an intelligent enterprise centered around customer insights. It provides examples of how companies like MasterCard and Ricoh have centralized customer data and feedback across departments to better understand customer needs and improve experiences. Building an intelligent enterprise requires aligning goals, processes, data, technology and culture around a shared focus on customers. This allows companies to gain real-time insights for adaptive decision making that enhances customer satisfaction and loyalty.
Cracking the data conundrum - how successful companies make big data operationalRick Bouter
- Only 13% of organizations have fully implemented Big Data initiatives despite large investments, with challenges including scattered data silos, ineffective coordination of analytics teams, and reliance on legacy systems.
- Successful companies establish centralized teams to coordinate Big Data efforts, adopt systematic implementation approaches with clear selection criteria and metrics, and have strong executive leadership driving cultural change towards data-driven decision making.
- Top performers also leverage multiple channels like partnerships, acquisitions, and innovation labs to develop Big Data talent.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalSubrahmanyam KVJ
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Big Data Webinar held on July 31, 2014 featured speakers from Gorkana Group, Interbrand, and Weber Shandwick discussing big data for PR professionals. The webinar covered what big data is, why PR should join the big data conversation, and how to get started integrating PR data with other marketing data sources. Key points included: defining big data as large, diverse data sets that can provide insights; the importance of including PR measurement data in brand valuation models to demonstrate PR's value and impact; and starting with small data integration projects to break down data silos within organizations.
The document discusses a survey of 300 enterprise organizations about data ownership and big data initiatives. It finds that marketing and sales are most involved in purchase decisions, but sales, business development, and insights/analytics have the most influence. Most functions see their involvement peaking late in the purchase process. Organizations need strategies to align functional areas and determine influence. Data initiatives are being driven by needs for better analytics, marketing intelligence, and predictive capabilities rather than just data quality issues.
Avention 7 Common Challenges Companies Have With Business DataAvention
Companies that effectively use data-driven sales and marketing tools are six times more likely to drive profitability. Integrating data from internal and external sources can provide valuable insights for sales teams. Some common challenges companies face with data include having information that is too shallow, having too much data without a plan for management, and only using basic prospect information. Solutions involve incorporating additional external data, designating a dedicated data management team, understanding what information sales and marketing teams need, recognizing behavioral triggers that can help salespeople, and using analytics solutions to identify key business signals and drive results.
How Finance & Marketing Can Accelerate Growth with Data InspirationDun & Bradstreet
Traditionally, marketing has been in the driver’s seat when it comes to revenue growth, while finance tracked numbers back in the garage. With information that was siloed and hard to quantify, the revenue engine often failed to reach top speed. Learn how finance and marketing can work together to accelerate growth with data inspiration.
This document discusses strategies for simplifying analytics. It recommends focusing on insights that are important for customers, stakeholders, and employees rather than trying to analyze all possible data. Specific strategies include using next-gen business intelligence and data visualization to improve decision making; applying data discovery techniques to uncover patterns; deploying analytics applications to simplify advanced analytics; and harnessing techniques like machine learning to reduce human effort and produce predictions. The goal is to generate insights that lead to tangible outcomes through a faster, simpler analytical approach.
Josh's Nerd Squad needs to expand its operations but requires financing. To convince financiers to provide funds, the business will conduct customer surveys to collect quantitative and qualitative data on demand, costs, and resources needed. This data will be analyzed and used to build an in-depth business model, determine the company's creditworthiness, and show financiers the need for expansion.
- Data and analytics capabilities have advanced significantly in recent years due to growing data volumes, more powerful algorithms, and improved computing power. However, most companies have captured only a fraction of the potential value identified in 2011.
- Organizational challenges are the biggest barriers to extracting more value from data. Talent shortages, especially of "business translators" who can apply analytics, also limit progress.
- Data and analytics are changing the basis of competition by enabling new business models and winner-take-all dynamics in some industries. Leading companies use analytics not just to improve operations but to disrupt entire industries.
This document summarizes the findings of a 2017 enterprise analytics study. It finds that analytics has become mainstream across industries and business functions. Most companies report high levels of analytics adoption and satisfaction, seeing benefits across finance, sales, marketing and supply chain. However, many companies still face obstacles around budgets, technology, security and skills. The document recommends that companies create a cultural transformation around analytics, develop hybrid analytics expertise models, and rapidly adapt to emerging technologies like machine learning and AI to stay ahead on the analytics road ahead.
The State of B2B Lead Nurturing - 2014 ReportBizoInc
In May 2014, Bizo, in association with Oracle Marketing Cloud, surveyed more than 500 business executives about their companies’ lead nurturing challenges and strategies. The survey revealed that, even as the importance of marketing’s role has grown, many organizations are still struggling to develop comprehensive, multi-channel lead nurturing programs, and that tremendous opportunities lie ahead.
Sustained growth and profit require aligning employees, customers, strategy, and processes. Engagement is key to alignment and is measured by satisfaction, commitment, pride, loyalty, purpose, advocacy, initiative, persistence and energy. High engagement leads to improved performance, productivity, safety, and lower turnover while low engagement has opposite effects. Alignment must be tailored to each organization and measured regularly using diagnostic tools to identify areas for improvement.
Wild Card Management: How to Predict and Leverage a Disruptive Future | Jim ...UCICove
Uncertainty is the most significant source of both challenge and opportunity confronting About UCI Applied Innovation:
UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market.
About the Cove @ UCI:
To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts.
Follow us on social media:
Facebook: @UCICove
Twitter: @UCICove
Instagram: @UCICove
LinkedIn: @UCIAppliedInnovation
For more information:
cove@uci.edu
http://innovation.uci.edu/
Anti-Bribery and Corruption Compliance for Third PartiesDun & Bradstreet
In this white paper, Kelvin Dickenson, Managing Director of D&B Global Compliance Solutions, discusses thoughtful approaches to buidling a scalable, effective and proportionate anti-corruption program for third-party due dilligence.
Breaking Down Benefits: How to Leverage Data to Better Your Employees' Health...Aggregage
We need to shift away from the focus on purchasing healthcare and instead, focus on how we can create health for our employees. By incorporating dashboards in our benefits selection process, we can watch for trends in benefits and leverage that data to lower costs, retain employees, and attract new talent. Join Darrell Moon, CEO of Orriant, to learn if your benefits selection is meeting your employees' needs.
Deloitte’s pro bono and skills-based volunteering programs are key components of our commitment to leveraging the skills and experience of our people to make an impact that matters in our communities.
How to Use Employee Feedback for Business ImprovementRobin Schooling
This document discusses how to use employee feedback for business improvement through a 5 step process: 1) Clarifying the purpose of gathering feedback; 2) Gathering feedback using various methods; 3) Analyzing both quantitative and qualitative data while avoiding biases; 4) Correlating the feedback data with other organizational data to identify relationships; 5) Developing an action plan with goals, timelines, and accountability to enact changes based on the findings. The overall goal is to increase engagement and performance by collecting, analyzing, and acting on employee feedback.
Building a Customer-Obsessed Enterprise (Webinar Slides)Qualtrics
The document discusses how companies need to become customer-obsessed by focusing on building an intelligent enterprise centered around customer insights. It provides examples of how companies like MasterCard and Ricoh have centralized customer data and feedback across departments to better understand customer needs and improve experiences. Building an intelligent enterprise requires aligning goals, processes, data, technology and culture around a shared focus on customers. This allows companies to gain real-time insights for adaptive decision making that enhances customer satisfaction and loyalty.
Cracking the data conundrum - how successful companies make big data operationalRick Bouter
- Only 13% of organizations have fully implemented Big Data initiatives despite large investments, with challenges including scattered data silos, ineffective coordination of analytics teams, and reliance on legacy systems.
- Successful companies establish centralized teams to coordinate Big Data efforts, adopt systematic implementation approaches with clear selection criteria and metrics, and have strong executive leadership driving cultural change towards data-driven decision making.
- Top performers also leverage multiple channels like partnerships, acquisitions, and innovation labs to develop Big Data talent.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalSubrahmanyam KVJ
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Big Data Webinar held on July 31, 2014 featured speakers from Gorkana Group, Interbrand, and Weber Shandwick discussing big data for PR professionals. The webinar covered what big data is, why PR should join the big data conversation, and how to get started integrating PR data with other marketing data sources. Key points included: defining big data as large, diverse data sets that can provide insights; the importance of including PR measurement data in brand valuation models to demonstrate PR's value and impact; and starting with small data integration projects to break down data silos within organizations.
The document discusses a survey of 300 enterprise organizations about data ownership and big data initiatives. It finds that marketing and sales are most involved in purchase decisions, but sales, business development, and insights/analytics have the most influence. Most functions see their involvement peaking late in the purchase process. Organizations need strategies to align functional areas and determine influence. Data initiatives are being driven by needs for better analytics, marketing intelligence, and predictive capabilities rather than just data quality issues.
Avention 7 Common Challenges Companies Have With Business DataAvention
Companies that effectively use data-driven sales and marketing tools are six times more likely to drive profitability. Integrating data from internal and external sources can provide valuable insights for sales teams. Some common challenges companies face with data include having information that is too shallow, having too much data without a plan for management, and only using basic prospect information. Solutions involve incorporating additional external data, designating a dedicated data management team, understanding what information sales and marketing teams need, recognizing behavioral triggers that can help salespeople, and using analytics solutions to identify key business signals and drive results.
The document is a report from the Economist Intelligence Unit that discusses the challenges of building a data-centric culture in organizations. It is based on a global survey of 395 executives. Some key points:
- Building the right organizational culture to realize business value from data analytics is now a priority for companies, as they have already invested in technology and talent.
- CEOs face the challenge of transforming company culture and how data is used. They must implement strategies from the top-down and engage employees.
- Successful data-driven companies are inspired by leaders who communicate a strong vision of how data can help the business and drive values like customer service. Leaders also provide expertise and education to help employees apply data.
Driving A Data-Centric Culture: The Leadership ChallengePlatfora
Embracing data as a corporate asset—and a source of competitive advantage—is not just a “good idea” that companies should consider. Such adoption will help determine the winners and losers across multiple markets and industries in the future.
In the last couple of years, corporate focus has shifted: first, from investing in the right technology and tools; then to acquiring the right talent and skills; and now to building the right organizational culture that can realize the business value of powerful big-data analytic tools.
Most organizations today are still focused on putting in place the right technology and talent, but others have evolved further and are working toward fostering a data-centric corporate culture.
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
This document outlines a five-stage process for building a data-driven marketing strategy. The stages are: 1) Make data a habit by defining key performance indicators; 2) Audit your current data landscape to understand what data you have; 3) Identify gaps in your data and strategies to fill them; 4) Commit to improving data quality; and 5) Leverage technology to turn raw data into insights. Following these stages will help organizations avoid common pitfalls and create an effective data-driven marketing strategy.
Occam - Building Your Own Data-driven Marketing StrategyRoger Stevens
This document outlines a five-stage strategy for building a data-driven marketing strategy. The stages are: 1) Make data a habit by defining key performance indicators; 2) Analyze your data landscape by auditing what data you have; 3) Fill data gaps by gathering needed data while respecting customer privacy; 4) Commit to data quality by investing in people, processes and technology; 5) Leverage technology to turn raw data into insights. Implementing this strategy in a careful, step-by-step manner can help marketers avoid common pitfalls and ensure their data delivers actionable insights to inform decisions.
Workforce Analytics-Big Data in Talent Development_2016 05Rob Abbanat
1) The document discusses how workforce analytics uses big data approaches to improve talent management and recruiting. It outlines a 5-step process for implementing workforce analytics: clarifying the problem, determining metrics, gathering data, analyzing the data, and presenting results visually.
2) Most companies are still only reporting workforce analytics data, while few are able to forecast or simulate results. Examples are given of how some companies have used workforce analytics to optimize retention, promotions, and talent acquisition strategies.
3) The meeting discussed how workforce analytics can help move companies from decisions based on hunches to data-driven models, showing clearer links between talent expenditures and organizational performance.
Enabling Success With Big Data - Driven Talent AcquisitionDavid Bernstein
Adopting an evidence-based recruitment marketing strategy is not just reserved for large employers. In fact, a targeted sourcing strategy can in some ways have a greater impact on small and mid-size businesses who need to allocate already-limited resources to the areas that will provide the most value. Ultimately, hiring the right candidate means profitability for your business. How can talent acquisition professionals gain the insights their organizations need to make better-informed decisions about their recruitment marketing efforts?
Acquired Data Benchmark Report Resource Overview Dun & Bradstreet sponsored ...Demand Metric
Two broad approaches exist to improve data quality, accuracy and completeness: an in-house data hygiene process, and using external data or services. In a study sponsored by Dun & Bradstreet, Demand Metric studied both approaches, looking closely at the use of acquired data in sales and marketing applications/solutions.
The goal of the study was to learn how companies are using acquired data and how that data is making a difference in campaigns, demand generation and other key results. This report details the findings of this study, providing benchmarks for acquired data performance and making the case for its use.
Lack of clarity, skills, limiting behaviors, and information are the main factors that hinder achieving goals. Traditional performance management systems are outdated and do not motivate employees. A new system needs continuous feedback, goal tracking, and collaboration to engage employees. Data-driven performance management using analytics can provide insights to improve performance and competitive advantage.
58 Quotes, Facts, Benchmarks, and Best Practices on People and AnalyticsHarrison Withers
This document provides 58 quotes, facts, benchmarks, and best practices related to people analytics. It is intended to support organizations in creating great places to work. The quotes and facts are grouped under headings such as "The Case for HR Analytics", "HR Analytics in Practice", "14 Thoughts on Analytics for Talent Management", "10 Best Practices and Benchmarks for HR Shared Services", and "12 Reasons to Upgrade Your HR Analytics Toolset". The document contains insights from various sources on using data and analytics to improve talent management, demonstrate the value of HR, increase the effectiveness of shared services, and address challenges with current HR systems and tools.
The enterprise marketer's playbook: Building an integrated data strategy.
An integrated data strategy can help any business see customer journeys more clearly ― and then give customers more relevant ads and experiences that get results. So why doesn't everyone have such a strategy? We look at what sets the marketing leaders apart.
Let marketing data be your guide
If you've ever felt too swamped by data to find the customer insights you need, you're not alone. But there's a new and better approach to gaining deeper audience insights: building an integrated data strategy.
Read this report to learn how:
86% of senior executives agree that eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.
75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.
Leading marketers are 59% more likely to use digital analytics to optimize the user experience in real time.
The document discusses building an integrated data strategy for marketing. It describes the challenges of accessing and integrating large amounts of customer data from various online and offline sources. An integrated data strategy can help marketers gain a complete view of customer journeys across channels to deliver more personalized experiences. The document outlines three pillars of an effective integrated data strategy: having the right data, culture, and technology. It emphasizes using data to guide marketing decisions rather than relying solely on intuition.
The document discusses the emerging role of the chief data officer (CDO) in organizations. It summarizes that as data and analytics have become more important, having a single leader dedicated to developing an enterprise-wide data strategy is necessary to fully leverage data. The CDO can envision how to use data across the organization, activate real change by using data to impact the business, and transform the culture to be more data-driven. The document outlines barriers to establishing the CDO role but emphasizes the value they provide in making organizations more competitive through their data.
10 Steps to Develop a Data Literate WorkforceSense Corp
Gartner had predicted that by 2020, 80% of organizations would initiate deliberate competency development in the field of data literacy to overcome extreme deficiencies. This has become even more critical to businesses today as they seek to adjust to the remote settings of the COVID-19 pandemic.
Advanced data literacy makes an organization faster, smarter, and better prepared to succeed in a data-driven environment. However, many organizations struggle to create a data-literate workforce.
In this webinar, Alissa Schneider, Sense Corp data governance leader, will examine the fundamentals of data literacy, why it’s important in today’s marketplace, and share the 10 steps you can take to enhance the data literacy in your organization.
Contact us for more information: https://sensecorp.com/business-consulting-contact/
The document discusses how companies can build a data-driven culture by engaging employees. It argues that becoming data-driven happens in three stages - focusing first on technology, then talent, and most importantly transforming the corporate culture. Two key factors are needed for cultural transformation - strong leadership from the top to establish a vision, and bottom-up employee engagement through training, incentives and making data accessible and relevant to employees' daily work. Companies that are truly data-driven report better performance, innovation, collaboration, and employee satisfaction compared to those that are not.
Unlocking people data possibilities can shape your
strategy and help you make more informed decisions in your organization. Gut feel is good but data-driven is better.
Ibm smarter workforce Unlock the people equation using workforce analytics to...Pauline Mura
Enabling the workforce to drive the business
IBM Talent and Change services and Smarter Workforce
solutions combine market-leading talent management
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Similar to The Changing Role of Information to Drive Competitive Intelligence (20)
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In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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3. • Influence strategic:
• marketing and positioning
• lateral hiring and expansion decisions
• Measure, evaluate and underscore success of
marketing campaigns, direct resources
• Inform and direct budgeting decisions
• Motivate attorneys to do business development
The Opportunity:
Enhancing CI & Business Development
How can knowledge influence action and enhance
business development at your law firm?
4. The Problem:
Good Data ≠ Good Decisions
Fewer than 44% of employees
say they know where to find
information they need for their
day-to-day.
Half of all employees find that
information from corporate
sources is in an unusable
format.
The best companies avoid this problem by deploying improved
information filtering and visualization, for example, they might
provide charts instead of linear raw data.
*Source: Harvard Business Review--April, 2012-- 22 Global Companies, 5,000 employees polled
7. Summary: Business Intelligence Drives
Business Development
Clients
Substantive
Experience
Areas of
Law
Issues
Relationships
New Risks
Unspoken
Opportunities
Emerging
Markets
Trending
Unique
Insights