Your business has systems producing data. You need to get and analyse that data and report it to the right people at the right time so they can act on it. Maybe you also need to scale up your current BI, reduce costs and eliminate system bottlenecks. One thing is sure: Business Intelligence is now essential to company decision-making, it drives every business.
Some topics covered:
3 Fundamental barriers to BI.
BI Wins: Top 8 results we see from great BI.
Making your ROI case: Know your audience.
11 BI Goals to consider.
"If Business Intelligence distribution is the lifeblood of an enterprise, its absence is the equivalent of strangulation. It’s not just about producing the right stuff. It’s about getting that stuff to the right person at the right time."
While many CIOs point to cost savings as the primary driving force of their Cloud initiatives, a growing number are seeing broader benefits that are focusing their team on delivering greater business value. Hudson CIO Mike Whitmer, and Trex CIO Kirby Miner presented a webinar on migrating to the Cloud and the ramifications on their budgets, their business and their people.
Topics include:
• Real-world Cloud ROI calculations: benchmark your potential for cost savings
• The business case for migrating to Cloud: to share outside the IT department
• How to get started with a hybrid approach: so you can see immediate benefit
• How the Cloud will impact your staff: key issues to address within your organization
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
The Data Quality Assessment Manager is a Data Quality product specifically designed to manage data quality assessments, manage data quality scores, review and correct quality issues and manage the workflow across all stakeholders involved in a data quality assessment. DQAM is the industry’s first platform designed to put data quality in the hands of data stewards and business owners who know and understand the data the best.
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
How to Monetize Your Data Assets and Gain a Competitive AdvantageCCG
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
While many CIOs point to cost savings as the primary driving force of their Cloud initiatives, a growing number are seeing broader benefits that are focusing their team on delivering greater business value. Hudson CIO Mike Whitmer, and Trex CIO Kirby Miner presented a webinar on migrating to the Cloud and the ramifications on their budgets, their business and their people.
Topics include:
• Real-world Cloud ROI calculations: benchmark your potential for cost savings
• The business case for migrating to Cloud: to share outside the IT department
• How to get started with a hybrid approach: so you can see immediate benefit
• How the Cloud will impact your staff: key issues to address within your organization
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
The Data Quality Assessment Manager is a Data Quality product specifically designed to manage data quality assessments, manage data quality scores, review and correct quality issues and manage the workflow across all stakeholders involved in a data quality assessment. DQAM is the industry’s first platform designed to put data quality in the hands of data stewards and business owners who know and understand the data the best.
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
How to Monetize Your Data Assets and Gain a Competitive AdvantageCCG
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
Slides: Bridging the Data Disconnect – Trends in Global Data ManagementDATAVERSITY
Maintaining a competitive edge in today’s digital landscape hinges on the ability to leverage accurate and reliable data to make informed and strategic business decisions. But transforming data from liability to strategic asset is far from simply flipping a switch.
New research from Experian shows that while 85 percent of businesses believe data is one of their most valuable assets, a high degree of inaccuracy is hindering critical initiatives. In addition, rising levels of data debt and a data skills shortage are converging to make data insights harder to achieve. To tackle the large degree of distrust in information, a growing number of companies are investing in specialized data talent and data literacy programs.
Join us to uncover new research from more than 1,000 global professionals as we take a deep dive into:
• The top challenges in leveraging trusted data
• How data debt drags down ROI
• Trends around data skills, talent, and the rise of data literacy
• Tips for how you can drive a data-driven culture
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
ADV Slides: Comparing the Enterprise Analytic SolutionsDATAVERSITY
Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple use) artifacts of the enterprise data environment are so critical to enterprise success.
Build them once (keep them updated), and use again many, many times for many and diverse ends. The data warehouse remains focused strongly on this goal. And that may be why, nearly 40 years after the first database was labeled a “data warehouse,” analytic database products still target the data warehouse.
This presentation contains strategies that BI groups within IT can use to maximize their productivity and value to the business. It contains an overview of why and how ‘agile BI’ is used at direct-marketing leader Valpak, and several other strategies that can be employed to help deliver timely, effective BI solutions.
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Slides: Migrate BI Dashboards to Run Directly on a Cloud Data Lake in Five Ea...DATAVERSITY
While BI dashboards are great at democratizing analytics in organizations, the architecture that traditionally powers them has hidden consequences that have serious impacts on the business.
This architecture is based on a 30-year-old paradigm that requires many different systems, ETL jobs, and copies of data in data marts, data warehouses, and BI extracts. One downside of many is that it takes many days if not weeks to answer a different business question with this architecture. The negative consequences are further multiplied by the tens, hundreds, or even thousands of dashboards needed to run a data-driven organization.
Now, there’s a straightforward way to overcome these challenges that many organizations are already taking advantage of, an open cloud data lake architecture and Dremio
Join Jason Hughes, Technical Director at Dremio, for this webinar to learn how you can migrate BI dashboards to Dremio to quickly provide interactive dashboards to data consumers without the issues of the traditional architecture — and finally deliver the benefits always promised by BI.
What you’ll learn:
• Why BI dashboards’ traditional architecture implemented at scale causes many issues, which hinder the very insights it promises.
• How a Dremio-powered cloud data lake architecture eliminates or mitigates the negative consequences of the traditional approach.
• Step-by-step instructions for migrating a BI dashboard to run directly on a cloud data lake, both a self-contained example and your own dashboards.
Virtual Governance in a Time of Crisis WorkshopCCG
The CCGDG framework is focused on the following 5 key competencies. These 5 competencies were identified as areas within DG that have the biggest ROI for you, our customer. The pandemic has uncovered many challenges related to governance, therefore the backbone of this model is the emphasis on risk mitigation.
1. Program Management
2. Data Quality
3. Data Architecture
4. Metadata Management
5. Privacy
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
To ensure that Decision Management Systems are analytic and adaptive you must embed the results of data mining and predictive analytics in them. In this webinar you will learn what can be discovered using data mining and predictive analytic techniques and how this can be applied to the decision-making embedded in Decision Management Systems. The role of analytics in predicting risk, fraud and opportunity and the importance of continuous improvement and learning is also be covered.
Emerging Trends in Data Architecture – What’s the Next Big ThingDATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
Slides: Bridging the Data Disconnect – Trends in Global Data ManagementDATAVERSITY
Maintaining a competitive edge in today’s digital landscape hinges on the ability to leverage accurate and reliable data to make informed and strategic business decisions. But transforming data from liability to strategic asset is far from simply flipping a switch.
New research from Experian shows that while 85 percent of businesses believe data is one of their most valuable assets, a high degree of inaccuracy is hindering critical initiatives. In addition, rising levels of data debt and a data skills shortage are converging to make data insights harder to achieve. To tackle the large degree of distrust in information, a growing number of companies are investing in specialized data talent and data literacy programs.
Join us to uncover new research from more than 1,000 global professionals as we take a deep dive into:
• The top challenges in leveraging trusted data
• How data debt drags down ROI
• Trends around data skills, talent, and the rise of data literacy
• Tips for how you can drive a data-driven culture
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
ADV Slides: Comparing the Enterprise Analytic SolutionsDATAVERSITY
Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple use) artifacts of the enterprise data environment are so critical to enterprise success.
Build them once (keep them updated), and use again many, many times for many and diverse ends. The data warehouse remains focused strongly on this goal. And that may be why, nearly 40 years after the first database was labeled a “data warehouse,” analytic database products still target the data warehouse.
This presentation contains strategies that BI groups within IT can use to maximize their productivity and value to the business. It contains an overview of why and how ‘agile BI’ is used at direct-marketing leader Valpak, and several other strategies that can be employed to help deliver timely, effective BI solutions.
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Slides: Migrate BI Dashboards to Run Directly on a Cloud Data Lake in Five Ea...DATAVERSITY
While BI dashboards are great at democratizing analytics in organizations, the architecture that traditionally powers them has hidden consequences that have serious impacts on the business.
This architecture is based on a 30-year-old paradigm that requires many different systems, ETL jobs, and copies of data in data marts, data warehouses, and BI extracts. One downside of many is that it takes many days if not weeks to answer a different business question with this architecture. The negative consequences are further multiplied by the tens, hundreds, or even thousands of dashboards needed to run a data-driven organization.
Now, there’s a straightforward way to overcome these challenges that many organizations are already taking advantage of, an open cloud data lake architecture and Dremio
Join Jason Hughes, Technical Director at Dremio, for this webinar to learn how you can migrate BI dashboards to Dremio to quickly provide interactive dashboards to data consumers without the issues of the traditional architecture — and finally deliver the benefits always promised by BI.
What you’ll learn:
• Why BI dashboards’ traditional architecture implemented at scale causes many issues, which hinder the very insights it promises.
• How a Dremio-powered cloud data lake architecture eliminates or mitigates the negative consequences of the traditional approach.
• Step-by-step instructions for migrating a BI dashboard to run directly on a cloud data lake, both a self-contained example and your own dashboards.
Virtual Governance in a Time of Crisis WorkshopCCG
The CCGDG framework is focused on the following 5 key competencies. These 5 competencies were identified as areas within DG that have the biggest ROI for you, our customer. The pandemic has uncovered many challenges related to governance, therefore the backbone of this model is the emphasis on risk mitigation.
1. Program Management
2. Data Quality
3. Data Architecture
4. Metadata Management
5. Privacy
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
To ensure that Decision Management Systems are analytic and adaptive you must embed the results of data mining and predictive analytics in them. In this webinar you will learn what can be discovered using data mining and predictive analytic techniques and how this can be applied to the decision-making embedded in Decision Management Systems. The role of analytics in predicting risk, fraud and opportunity and the importance of continuous improvement and learning is also be covered.
Emerging Trends in Data Architecture – What’s the Next Big ThingDATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
12 Ways to Empower Government Users With the Microsoft Business Intelligence ...BMDS3416
Are your organization’s Federal IT resources under constant pressure, with no end in sight?
You are not alone.
With limited access to dedicated information technology resources, non-technical end users often play the waiting game, relying on IT staff to do simple tasks like generating custom queries and embedding them within applications.
Your department’s need to generate on demand, ad hoc reports gets pushed to the back burner while IT resources respond to more pressing matters.
Implementing a self-service approach alleviates your IT staff from such tasks, affording them more time to focus on solving high impact problems.
Your agency’s use of Microsoft Business Intelligence (MBI) tools and reporting services may hold the key to advancing your organization’s return on investment as well as gain much needed autonomy for your users.
Learn 12 Ways to Empower Your Users With the Microsoft Business Intelligence (MBI) Stack
Modernisation of BI Business Intelligence and Data Warehouse Solutions at Tra...David Pui
Modernisation of BI Business Intelligence and Data Warehouse Solutions at Tranz Rail.
David Pui's led the modernisation of the BI and Data Warehouse Solutions whilst he was the Senior Technologist at Tranz Rail.
In this presentation, you will get a look under the covers of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse service for less than $1,000 per TB per year. Learn how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. We'll also walk through techniques for optimizing performance and, you’ll hear from a specific customer and their use case to take advantage of fast performance on enormous datasets leveraging economies of scale on the AWS platform.
Revolution Analytics was the first company dedicated to the R Project. This presentation from useR! 2014 covers the history of Revolution Analytics since its founding in 2007 and its contributions to the R project and community.
This publication seeks to explain what business intelligence is, its history, usage in modern business operations and prospects into the future of BI.
The publication also mentions relevant software tool that help deliver business intelligence solutions.
Apart from timely availability of data and insightful business knowledge, this presentation will find the list of benefits that are gained by investing in business intelligence services.
numberz Accounts Receivable for EnterpriseRajeev Chari
numberz AR is an intelligent Accounts Receivable & Collections cloud platform that integrates with existing ERP and makes
getting paid faster, easier and more predictable.
Business Intelligence (BI) for Recession on Digit Channel ConnectDhiren Gala
Business Intelligence (BI) is made for times like these! “When cash runs out that’s when thinking starts.” This statement is very true in downturn or recession times
- Sanjay Mehta on Digit Channel Connect
Subscribed NYC 2017: Driving Cross-Functional Accountability - Growth Metrics...Zuora, Inc.
As the Subscription Economy continues to grow, a new framework is needed to measure and analyze business health, and provide insight into the entire customer subscription journey. This new framework is powered by subscription metrics: forward-looking metrics -- from ARR to churn -- that predict business performance. Attend this session to hear how finance executives from best-in-class SaaS companies use metrics to drive growth.
The CFO Guide to Data with Deloitte & WorkdayWorkday, Inc.
A recent explosion of data and rapidly evolving tools and techniques for managing it have made it difficult to turn data into value.
View this deck to hear how Deloitte and Workday are helping organizations get a handle on their data, deploying automated, analytics-based planning models, streamlining finance operations, and becoming truly decision ready.
When it comes to scrutinizing costs, most insurance companies can say “Been there, done that. Got the t-shirt.” Managers are familiar with the refrain from above to trim here and cut there. The typical result is flirtation with the latest management trends like lean, outsourcing and offshoring, and others. However, the results tend to be the same. Budgets reflect last year’s spend plus or minus a couple of percent in the same places.
Presentation on Business Requirements gathering for Business Intelligence from our BI Practice Lead. Detailed instruction on how to maximize your time in gathering requirements and ensure you capture what is important to the user. Requirements gathering is critical to the success of a BI project.
Change Your Mindset: The Key to Growing Your Accounting PracticeAggregage
In the accounting profession, the post-COVID business model is surely on everyone's minds. Unmistakably, the way to forge ahead will look different than in years past. The biggest mistake that a majority of companies are making in regard to growth is holding onto old conventions, paradigms, and practices.
Whether re-integrating back to in-office life or staying digitally connected through remote work, the first step in determining how to spur growth comes with reevaluating your company's willingness to change mindset.
Join David Bergstein, Chief Innovation Officer at Bergstein CPA, as he shares insight on the accounting landscape, new trends, and practical tips for reevaluating your company's positionality.
This session will cover:
• What it means to challenge tradition and change your company mindset
• How to make sure you are set up to be as productive and efficient as possible
• Best practices for choosing the tools you will utilize
• Methods to measure and track your success so you can watch yourself improve!
...and more! Everyone who attends will walk away with the knowledge of what to do to be successful in the "New Normal."
How to Get “Rolling” with Monthly ForecastsWorkday, Inc.
The year 2020 showed us that annual plans are apt to change. Moving forward with agility will be key, but implementing a smooth cadence of monthly rolling forecasts might be easier said than done.
View now to see where things often break down from a modeling and data movement perspective, and learn the best ways to get your organization on board for a change.
In today’s business environment, selecting the right solution to
manage your critical business functions can be challenging.
This document shares ten proven principles to help guide you and your management team through the selection process, in order to help you make the right choice.
Similar to BI: The ROI of Business Intelligence- Why It's Best To Invest In BI (20)
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
BI: The ROI of Business Intelligence- Why It's Best To Invest In BI
1. T h e R O I O F B u s i n e s s I n t e l l i g e n c e
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Contents
03 | Why It’s Best To Invest In BI
05 | Barriers to BI
07 | BI Wins
08 | Making Your ROI Case
10 | 11 BI Goals To Consider
14 | 11 Investment Costs Not To Miss Out
15 | Where Do We Come In?
17 | Trust In Us
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Why It’s Best To Invest In BI
Your business has systems producing data.
You need to get and analyse that data and
report it to the right people at the right time
so they can act on it. Maybe you also need
to scale up your current BI, reduce costs and
eliminate system bottlenecks.
You know your company needs to invest in the right
Business Intelligence (BI) in order to comply, react and
thrive in this ever-changing world.
One thing is certain… BI is now essential to company
decision-making – it drives every business.
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Which BI Solution?
If you’re trying to decide on the ideal provider for your
BI then check out “8 Steps To BI Success” - guiding you
through whilst avoiding common pitfalls – it’s your best
path for an informed choice.
Getting Your Team On Board
So how do you make the case for BI? You’ll need to justify
the expense and assess the actual benefits BI should
give your business. When making this case to your team,
what should feature in your Return-on-Investment (ROI)
assessment?
Your ROI Assessment
The BI wisdom and proof is right here – a framework for
your ROI assessment. It covers the barriers you could face
and the wins you might expect. There’s 11 BI goals to aim
for, along with 11 costs often overlooked, plus BI success
stories dotted around to inspire you.
You know the time for BI is now, let’s start letting your
team know too.
Need help choosing a solution?
‘8 Steps to BI Success’ walks you through.
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Barriers to BI
Our experience tells us that many companies suffer from 3 fundamental issues in delivering
cost-effective BI. Before you start making the case for your chosen solution, ensure you’ve
considered these potentials barriers...
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UK Telecomms
Provider
“BI paid for itself several times over”
Benefits
Manual staff hours eliminated
Drastic reduction in stock
shortages through event
triggers / alerts
Better customer satisfaction,
less complaints
Savings
Paid for itself several
times over
Challenges
Inefficient supply chain
with manual processes
Needs
Unforeseen benefits &
new ideas now BI is
available to all
Will It Handle Volume & Complexity?
Ensure your solution is scalable - to manage and automate
possibly thousands of different reports being delivered
to any number of recipients in a huge variety of formats,
protocols and schedules.
Is It Responsive & Always Learning?
Does it support self-service, ad-hoc and event-driven
reports and will it flag up any failures (such as data errors,
delivery failures, processing glitches)?
Will It Be Compliant?
Confirm it will comply with all relevant regulations and
business standards.
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BI Wins
We see dramatic changes at companies
that choose an enterprise-wide reporting
framework.
What happens when… people get the information they
need, when they need it, in the format they want…?
Top Results We See From Great BI
01 Increased sales
02 Better and faster decision-making
03 No more manual processing or distribution
04 Staff cost reduction
05 Better internal communications, site & company-wide
06 Detect inefficiencies or new opportunities that had
been invisible
07 Enable new and better processes
08 Quality improvement information
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Making Your ROI Case
Who’s Your Audience?
As you compile your case for investing in BI, always
keep in mind what your team will care most about. The
requirements of your ROI analysis will vary depending on
your company size, sophistication and culture.
What Drives Decision-making
In Your Company?
Do you have a “show me the numbers” management
team who make quick decisions based on quantifiable
net gains within a fixed – and sometimes arbitrary – time
period (e.g., one year). Or will you be expected to present
specialized rates of return, multiple payback periods,
opportunity costs and the time value of money?
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Assessing Value Over Money
It’s not always about money. Sometimes ROI involves
factors that are less tangible and harder to measure.
Segmenting various aspects of the “return” in ROI is a
useful exercise for separating the important factors from
that which is valued less. Some organizations (or leaders)
value all quadrants of this matrix. Others don’t. You
should allocate your effort proportionally.
Expense reduction
Cost avoidance
US Metropolitan
Public Hospital
“Reduction of risk is biggest
benefit by far, life-saving”
Benefits
Risk reduction critical
to patients’ lives
Automate data synchronisation
More & better notifications
Trigger event-driven updates
without human intervention
Needs
Reliable system, lives
depend on accuracy
Savings
Costs dropped by 2/3,
saving $274K annually
Challenges
Fixing data errors across
isolated systems
Corrective work to synchronise
data costing $412K
Efficiency
Objective
Sales funnel metrics
More channel contacts
Subjective
Customer satistfaction
User convenience
Sales process gaps
Operational backlogs
Opportunity
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11 BI Goals To Consider
Your company probably wants to automate
more to do more, grow more and spend less
- without any of it costing too much. Be clear
about the goals of your BI investment, and
how progress will be measured.
01 REDUCE / AVOID Labor Costs
How many people are working on centralized report
distribution admin? How much time are end-users
spending making and sending out reports? How many
more people or labor hours would be required to
scale the existing report management and distribution
processes to required levels? Translate these answers
into actual costs and then estimate the savings from
automation.
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02 ADOPTION Success
How do you ensure successful BI implementation, with
quick and easy adoption by business users, and built in
“encouragement to use” to persuade users to get the most
out of the investment?
03 NEW Capabilities
Does your company need event- or threshold-driven
reporting automation? If so, what actual benefits do you
want to see across the enterprise, either in costs or other
benefits? Will you be able to extend reporting services to
people and organizations that wanted them, but couldn’t
have them previously? How would they benefit?
04 RELIABLE Delivery
The right reports to the right people in the right format
at the right time. Do you have tangible costs associated
with delayed or incorrect reports as a result of manual
processes? What happens to decision-making without
timely and accurate reports? What would the quantifiable
benefit(s) be if these problems disappeared?
05 PROCESS Enablement
Does report distribution need to be automatic to support
new or evolving processes? If so, what would be the cost
to the company of not implementing those processes?
US Healthcare
Information Provider
“Vast improvements
in customer care”
Benefits
More variety in the
reports provided
Leading to a bigger audience
& more interest
Leading to far more business!
Customer service far more
responsive & efficient
Savings
ROI within 3 months plus $5.5K
annual savings since
Challenges
Inefficient manual
custom reporting
Needs
Automated custom
reporting
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06 CUSTOMER / PARTNER Satisfaction
What would additional or better reporting capabilities
mean for customers, partners and other external entities?
More trust, loyalty, confidence? Personal or corporate
satisfaction is clearly harder to measure in monetary
terms but is still critical for maintaining and increasing
revenue.
07 LEGAL Compliance
In certain business functions and in some industries,
proper reporting is required to avoid penalties or
sanctions. The cost of meeting those requirements
may be prohibitive without a robust report distribution
architecture.
08 OPPORTUNITIES Revealed
More and better reporting underpins better business
intelligence. Visibility into the efficiency of enterprise
operations may reveal opportunities to close gaps or to
increase revenue. This is difficult to quantify in advance
because “you don’t know what you don’t know”. Making
the invisible visible could well be the innovation that
future-boosts your business.
09 SECURITY Protection
Have you addressed the cost of dealing with any hacking
fallout? This could quickly outweigh any other benefits, so
it needs some serious thought.
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10 EXTEND Functionality
The cost of decommissioning existing software – and re-
training users – should be considered. Ideally, your new
software should build on (re-use) some, if not all, of your
existing infrastructure.
11 RISKY Business
Who will be your BI supplier? Smaller, newer companies
in the market tend to be more innovating and flexible,
but it’s a risky choice – after all, no-one ever lost their job
buying from IBM. Do you risk going cheap for a lower
price or are you trusted to select an evidently higher
quality product with vastly more experienced service that’s
much easier to deal with?
US Aircraft
Manufacturer
“Dramatic improvements
across the board”
Benefits
Automated work reports saves
1000 work hours every year
Able to expand business without
needing more staff
Faster & better management
decisions, based on superior and
timely operational reporting
Savings
ROI within 3 months
plus $200K reduction for
maintaining 5 paint bays
Challenges
Inefficient & expensive
time-based maintenance
procedures, need to save
time & money
Needs
Automatic monitoring,
reporting & work orders
based on usage instead of time,
part of a drastic change to all
manufacturing operations
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11 Investment Costs
Not To Miss Out
01 Software licensing & support
02 Supporting infrastructure – local or cloud-based
03 Consulting & training (and possible travel)
04 Implementation plan
05 Testing
06 Definition of reporting maintenance processes
07 Information security policies and processes
08 Labor for initial implementation
09 Labor for ongoing maintenance
10 Measuring and reporting of the project itself
11 Change management
The investment side of the ROI equation goes beyond the software cost, don’t forget about...
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Where Do We Come In?
ChristianSteven Software doesn’t reinvent the wheel, as there’s a plethora of good business
intelligence and reporting tools out there, such as Crystal Reports and Microsoft SQL Server
Reporting Services and we want our customers to preserve their existing investments in those.
But they tend not to provide the full report distribution and process automation platform that
enterprises need today.
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We provide what’s missing and what your
company needs for truly effective reporting
and distribution, such as:
●● Scaling the volume and reach of enterprise
reporting with a sophisticated architecture that
automates manual processes
●● Linking to any data source, regardless of the
location, to drive triggers and threshold notifications
requiring human or automatic responses
●● Offering limitless format, delivery platform and
scheduling options
And...
●● We have helped hundreds of companies create
their own reporting success stories
●● We understand how to provide what you need
efficiently and quickly
●● We are experts who have seen it all
Let us assist you in preparing a strong ROI
justification for your management.
US Printing &
Distribution Service
“Improvements on top
of cost savings”
Benefits
A huge leap in
customer satisfaction
Accurate inventory
All data available company-wide
Human error eliminated
Savings
$56K every year
Challenges
Manual processing of all
orders, inventory, shipping
& customer management,
costing $60K annually
Needs
Automate almost all
manual processes
17. We will target…
●● Quick set-up and simple use
●● Less or no repetitive tasks or manual processes
●● Cost and labor reduction by automating business
processes and reports from one application
●● Happier customers via mass personalized distribution
●● Reliable data provision and SOX Compliance, through
automated report generation
●● Browser-based interfaces for access anytime and place
●● Making the most from your existing hardware and
software investments
●● Keeping training and implementation costs low
●● A low total cost of ownership
Contact us today for a complimentary
BI Strategy Assessment:
ChristianSteven Software LLC
11020 David Taylor Dr, Suite 317
Charlotte NC 28262, USA
(888) 781-8966
info@christiansteven.com
www.christiansteven.com
Trust In Us