We believe in Analytics but why don't we get complete analytics? This article gives a simple overview on why and how of this.
View my other documents in my profile.
BI is all about making dry figures accessible & useful to the right audience within an Enterprise
Euthenics IT Services Pvt. Ltd.
306-B, Super Plaza, Sandesh Press Road, Bodakdev, Ahmedabad-380 054, Gujarat, INDIA
Tel: +91 (79) 26769094 & 40036094
Web: www.euthenicsit.com/ www.factisbi.com
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
Key Success Factors for a Performance DashboardSpectrum
The key success factors for an effective performance dashboard include proper definition of target audiences and relevant metrics, simplicity and manageability of the dashboard, and sustained leadership through a "dashboard champion." A study of over 30 organizations found that dashboards are most effective when they have a few clearly defined metrics aligned with business objectives, support from executive leadership, and maintain a simple design that is easy to implement and use. Microsoft Excel was the most commonly used tool for dashboard development due to its accessibility, low cost, and ability to produce quick results.
TRED is a company focused on improving revenue productivity and margins through analytics. Their platform combines internal performance data with customer experience data. The platform provides a single view of customers, analyzes resource activity and performance, provides revenue insights and analytics including forecasts and pipelines, and analyzes customer trust and advocacy. The platform is designed to help organizations improve the productivity and effectiveness of their revenue generation functions by providing data-driven insights. It captures data automatically from any source and provides customizable reports and apps to analyze performance, focus efforts, and coach teams. The goal is to help users do things right and do the right things to optimize business practices, resource utilization, and revenue growth.
Advanced enterprises compete differently. Business Intelligence and Data Warehousing technologies form the foundation that support and enable this differentiation. It’s more than just getting reports and analytics, it’s about scalability, security, robustness and enterprise grade information delivery that enable an insightful organization.
Sales operations teams help sales and marketing organizations manage large amounts of customer data and turn it into useful insights. They analyze data from key accounts to spot opportunities for value creation and share intelligence with stakeholders to enable strategic decision making. However, managing vast amounts of complex data from key accounts can be overwhelming. New technologies are needed to help operationalize key account management processes, leverage existing CRM data, and deliver the right customer-centric insights that sales teams need to strategically grow key relationships.
Proven Strategies to Leverage Your Customer Community to Grow Your BusinessSocious
Find out how businesses are leveraging stronger relationship with customers to identify revenue opportunities within their customer base and create more products that their markets love. During this presentation, you’ll learn:
Why peer-to-peer communities keep more customers engaged than other channels
How to ensure your customer community serves both your customers and your business
Actionable strategies for turning the social data in your community platform into profit
Metrics to Maturity, Intelligence for Innovation: Your Value PropositionCherwell Software
Managing the perception of value is a key strategic initiative that solidifies the business case for further investment in an organization’s service desk. However, metrics are the key to achieving this difficult and challenging proposition. Taking a segmented approach to metrics can bring speed and relevancy to reports and dashboards by empowering the user’s data literacy and the organization’s overall strategic goals. This session will explain how correctly managing metrics for maturity can go hand-in-hand with innovation and value. Status quo BI initiatives will no longer be good enough for IT to maintain its value proposition. The IT organization should manage the user’s perception of value with business intelligence and metrics.
BI is all about making dry figures accessible & useful to the right audience within an Enterprise
Euthenics IT Services Pvt. Ltd.
306-B, Super Plaza, Sandesh Press Road, Bodakdev, Ahmedabad-380 054, Gujarat, INDIA
Tel: +91 (79) 26769094 & 40036094
Web: www.euthenicsit.com/ www.factisbi.com
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
Key Success Factors for a Performance DashboardSpectrum
The key success factors for an effective performance dashboard include proper definition of target audiences and relevant metrics, simplicity and manageability of the dashboard, and sustained leadership through a "dashboard champion." A study of over 30 organizations found that dashboards are most effective when they have a few clearly defined metrics aligned with business objectives, support from executive leadership, and maintain a simple design that is easy to implement and use. Microsoft Excel was the most commonly used tool for dashboard development due to its accessibility, low cost, and ability to produce quick results.
TRED is a company focused on improving revenue productivity and margins through analytics. Their platform combines internal performance data with customer experience data. The platform provides a single view of customers, analyzes resource activity and performance, provides revenue insights and analytics including forecasts and pipelines, and analyzes customer trust and advocacy. The platform is designed to help organizations improve the productivity and effectiveness of their revenue generation functions by providing data-driven insights. It captures data automatically from any source and provides customizable reports and apps to analyze performance, focus efforts, and coach teams. The goal is to help users do things right and do the right things to optimize business practices, resource utilization, and revenue growth.
Advanced enterprises compete differently. Business Intelligence and Data Warehousing technologies form the foundation that support and enable this differentiation. It’s more than just getting reports and analytics, it’s about scalability, security, robustness and enterprise grade information delivery that enable an insightful organization.
Sales operations teams help sales and marketing organizations manage large amounts of customer data and turn it into useful insights. They analyze data from key accounts to spot opportunities for value creation and share intelligence with stakeholders to enable strategic decision making. However, managing vast amounts of complex data from key accounts can be overwhelming. New technologies are needed to help operationalize key account management processes, leverage existing CRM data, and deliver the right customer-centric insights that sales teams need to strategically grow key relationships.
Proven Strategies to Leverage Your Customer Community to Grow Your BusinessSocious
Find out how businesses are leveraging stronger relationship with customers to identify revenue opportunities within their customer base and create more products that their markets love. During this presentation, you’ll learn:
Why peer-to-peer communities keep more customers engaged than other channels
How to ensure your customer community serves both your customers and your business
Actionable strategies for turning the social data in your community platform into profit
Metrics to Maturity, Intelligence for Innovation: Your Value PropositionCherwell Software
Managing the perception of value is a key strategic initiative that solidifies the business case for further investment in an organization’s service desk. However, metrics are the key to achieving this difficult and challenging proposition. Taking a segmented approach to metrics can bring speed and relevancy to reports and dashboards by empowering the user’s data literacy and the organization’s overall strategic goals. This session will explain how correctly managing metrics for maturity can go hand-in-hand with innovation and value. Status quo BI initiatives will no longer be good enough for IT to maintain its value proposition. The IT organization should manage the user’s perception of value with business intelligence and metrics.
What is Business intelligence
Core Capabilities of Business Intelligence
Elements of Business Intelligence
Why Companies opt for Business Intelligence
Benefits of Business Intelligence
User of Business Intelligence
Reports of Business Intelligence
Business Application in Extended Enterprise
Business Analytics
Golden Rules for Business Intelligence
5 Stages of Business Intelligence
What is the Business Context? What Applications are required to support the business? What Technology infrastructure is required to support the applications? What Organization structure and skills are required to implement the technology and applications? What funding and Governance are necessary to support the transformation?
Bridging the Gap from Strategy to ExecutionSue Alemann
Improving Strategy Execution through Capability Definition and Assessment. Have you even spent time and money developing a bright shiny new strategy and then just put it on the shelf because you had no plan to execute it? In this point of view, Slalom explains how Business Architecture can be used to bridge the gap from strategy to execution using capabilities based road maps that align your business and technology and point it to your strategy.
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
1. Measuring ROI from data science initiatives is challenging for many organizations as the outcomes are often not clearly defined, quantified, or attributed to the initiatives. Breaking the chain from data to insights to actions to outcomes is common.
2. A framework is presented for quantifying the value of data science initiatives using 5 steps - define success metrics, measure the metrics, attribute outcomes to causal factors, calculate net costs and benefits to determine breakeven, and benchmark results.
3. The framework is applied to a case study of a beverage manufacturer that used analytics to optimize plant costs. Key metrics like cost savings, employee productivity, and process efficiency were defined and attribution methods like A/B testing were used
Business intelligence strategy and roadmap 2018Mondy Holten
Get Ready for 2018 with this Business Intelligence Training & Consulting . Learn more about Visual Analytics. Interactive Dashboards. Data Discovery. Mobile Analytics. Self-Service-BI. Business Analytics. Business Intelligence. Drag & Drop Reporting. Data Visualisation. Big Data Analytics.
Register for this Inhouse Training info@mr-data.nl or contact our Sr Business Intelligence Consultant Mondy Holten today mondy.holten@mr-data.nl
A marketers guide to data analytics marketing finder webinar 17 july 2013marketingfinder.co.uk
The document discusses using data analytics to gain insights for marketing. It describes how predictive analytics can provide a competitive advantage by analyzing customer, product, transaction, and other data to predict customer behavior and optimize marketing strategies. The presentation outlines building a complete view of the customer to personalize interactions through segmentation, predictive modeling, and integrating insights into marketing decisions and interactions with customers.
PwC offers finance transformation solutions to help companies improve processes, access real-time data for decision making, and maintain compliance. Their solutions provide speed and efficiency through improved reporting, analytics for smarter decisions, financial reporting alignment, and secure access across devices. PwC's rapid deployment approach lowers costs and resource needs.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
Most companies have data in various sources. Often, they do nothing but store the data because it takes too much time to make sense of it all. Taking control of the data is a process, but once the building blocks are in place a true Demand Signal Management Process will support an enterprise with reliable business insights.
Solid Route Accounting For Warehouse ClientsCraigFisher
Solid Route Accounting is a software that provides end-to-end integration for distribution companies, allowing sales reps to move through orders twice as fast, reducing administrative costs by up to 50%, and providing improved management reporting and ROI within 3 months of implementation. It addresses issues around customer site operations, warehouse management, administration, and insights. The software aims to increase productivity, reduce costs and errors, and improve profitability through features like mobile order entry, automatic pricing, inventory tracking, and comprehensive reporting.
“You can download this product from SlideTeam.net”
Analyse the human behavior trend to increase the effectiveness of products and services for the consumers. Use professionally designed content-ready Customer Insight PowerPoint Presentation Slides for the better understanding of consumer buying behavior to increase sales. Collect the required information about the customers to acquire, develop and retain customers. Incorporate ready-made customer insight PPT presentation slideshow to comprehend the customer’s choice for their favourite brand, their mindsets, motivations, moods, desires, aspirations, etc. This deck comprises of templates such as research methodology, consumer insight assumptions, need for consumer insights, key statistics, data collection and processing, consumer insight capabilities, consumer insight components, consumer insight characteristics, consumer insight key elements, YouTube analytics, google audience retention tool, google trends, google analytics, consumer insight maturity matrix, consumer engagement principles, etc. These templates are editable. Change color, text, icon, and font size as per your need. Add or remove content, if needed. Get access to the ready-made customer insight PowerPoint templates to connect the interests of the consumer with features of the brand. Advise folks on how to decide correctly with our Customer Insight Powerpoint Presentation Slides. Be able to guide the injudicious. https://bit.ly/3Bo87wP
What stops an order from being paid at your company?
For most, ineffecient operations that lack automation and integration for order-to-cash management are the major blockage point. In this webinar, you will learn how companies are addressing these challenges.Companies of all sizes are using an integrated approach that embeds policy, automates processes, and drives workflow with online portals for internal and external collaboration.
This new operations approach results in:
Increased Productivity of Credit Operation
Collaboration Between Credit, Sales, Customers, A/P and Treasury
Reduced Dispute Cycle Time and Volume
Mitigated Corporate Credit Risk
Improved Customer Relationships
Customer analytics. Turn big data into big valueJosep Arroyo
BIRT Analytics is a customer analytics solution that allows companies to gain valuable insights from big data. It integrates data from multiple sources, analyzes large volumes of data, and provides clear and granular customer information. Tools allow users to explore data, identify patterns, profile customers, and forecast trends. Advanced analytics help optimize marketing, identify cross-sell opportunities, and understand customer behavior. The solution aims to help companies understand customer needs and adapt strategies based on real customer data.
The challenges and opportunities faced today by CFOs and Finance professionals are echoed across all industries. This presentation will help you make the most of Dynamic Analysis by showing easy-to-interpret, visually powerful KPI's in one dashboard view that includes Revenues, Profitability, Cost of Revenues, Net Revenue, SGA, Operating Income, ROI, Gross Profit %, Current Ratio, Inventory Turn, Leverage and more. All in a single view.
The six-step guide outlines how to break through the analytics barrier and fully realize the benefits of analytics programs. The six steps are: 1) define customer experience outcomes, 2) integrate a big data infrastructure, 3) rethink the customer journey, 4) enhance insights with digital data and processes, 5) construct solutions from the customer perspective, and 6) test and measure for outcomes. Following these steps helps move analytics initiatives beyond operational reporting to enabling predictive insights that improve the customer experience.
Data Driven Transformation for Sales - SMART Territory ManagementBarry Magee
This document discusses implementing a data-driven territory management strategy to improve client engagement and sales effectiveness. It proposes identifying client needs through data analytics, creating "Client on a Page" profiles, and selecting optimal clients to contact using a "SMART" system. An initial pilot showed increased lead conversion rates, win rates, and revenue from the SMART-selected clients compared to rep-selected clients. The document recommends fully integrating the approach into systems and processes to maximize adoption and business benefits.
How to start the journey of Data science in your organizations. Find how to understand the business objectives, AI Frameworks, Methodologies and canvas models to help you depict business potential scenarios for justification.
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Business Intelligence Industry Perspective Session IPrithwis Mukerjee
The document discusses business intelligence and the evolution from early manual management systems to modern performance management systems. It describes how businesses now require real-time analytics to optimize operations and gain competitive advantages. Modern business intelligence systems integrate data from various sources and use dashboards and reports to provide insights across different levels of the organization for improved decision making.
The NBMDA (North American Building Material Distributor Association) is made up of high quality distributors serving the building community. I was asked to speak about how CRM systems can be used to enhance their business and provide some advisement on how to best approach
The document discusses implementing a successful customer relationship management (CRM) system and outlines several key steps:
1) Establish a project team to drive specification and promote buy-in from stakeholders across the organization.
2) Analyze customer data to understand purchasing behaviors and quantify business opportunities to build a strong business case for investment.
3) Implement CRM as a business strategy supported by processes, culture, and technology to provide a unified view of customers and measure ROI.
What is Business intelligence
Core Capabilities of Business Intelligence
Elements of Business Intelligence
Why Companies opt for Business Intelligence
Benefits of Business Intelligence
User of Business Intelligence
Reports of Business Intelligence
Business Application in Extended Enterprise
Business Analytics
Golden Rules for Business Intelligence
5 Stages of Business Intelligence
What is the Business Context? What Applications are required to support the business? What Technology infrastructure is required to support the applications? What Organization structure and skills are required to implement the technology and applications? What funding and Governance are necessary to support the transformation?
Bridging the Gap from Strategy to ExecutionSue Alemann
Improving Strategy Execution through Capability Definition and Assessment. Have you even spent time and money developing a bright shiny new strategy and then just put it on the shelf because you had no plan to execute it? In this point of view, Slalom explains how Business Architecture can be used to bridge the gap from strategy to execution using capabilities based road maps that align your business and technology and point it to your strategy.
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
1. Measuring ROI from data science initiatives is challenging for many organizations as the outcomes are often not clearly defined, quantified, or attributed to the initiatives. Breaking the chain from data to insights to actions to outcomes is common.
2. A framework is presented for quantifying the value of data science initiatives using 5 steps - define success metrics, measure the metrics, attribute outcomes to causal factors, calculate net costs and benefits to determine breakeven, and benchmark results.
3. The framework is applied to a case study of a beverage manufacturer that used analytics to optimize plant costs. Key metrics like cost savings, employee productivity, and process efficiency were defined and attribution methods like A/B testing were used
Business intelligence strategy and roadmap 2018Mondy Holten
Get Ready for 2018 with this Business Intelligence Training & Consulting . Learn more about Visual Analytics. Interactive Dashboards. Data Discovery. Mobile Analytics. Self-Service-BI. Business Analytics. Business Intelligence. Drag & Drop Reporting. Data Visualisation. Big Data Analytics.
Register for this Inhouse Training info@mr-data.nl or contact our Sr Business Intelligence Consultant Mondy Holten today mondy.holten@mr-data.nl
A marketers guide to data analytics marketing finder webinar 17 july 2013marketingfinder.co.uk
The document discusses using data analytics to gain insights for marketing. It describes how predictive analytics can provide a competitive advantage by analyzing customer, product, transaction, and other data to predict customer behavior and optimize marketing strategies. The presentation outlines building a complete view of the customer to personalize interactions through segmentation, predictive modeling, and integrating insights into marketing decisions and interactions with customers.
PwC offers finance transformation solutions to help companies improve processes, access real-time data for decision making, and maintain compliance. Their solutions provide speed and efficiency through improved reporting, analytics for smarter decisions, financial reporting alignment, and secure access across devices. PwC's rapid deployment approach lowers costs and resource needs.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
Most companies have data in various sources. Often, they do nothing but store the data because it takes too much time to make sense of it all. Taking control of the data is a process, but once the building blocks are in place a true Demand Signal Management Process will support an enterprise with reliable business insights.
Solid Route Accounting For Warehouse ClientsCraigFisher
Solid Route Accounting is a software that provides end-to-end integration for distribution companies, allowing sales reps to move through orders twice as fast, reducing administrative costs by up to 50%, and providing improved management reporting and ROI within 3 months of implementation. It addresses issues around customer site operations, warehouse management, administration, and insights. The software aims to increase productivity, reduce costs and errors, and improve profitability through features like mobile order entry, automatic pricing, inventory tracking, and comprehensive reporting.
“You can download this product from SlideTeam.net”
Analyse the human behavior trend to increase the effectiveness of products and services for the consumers. Use professionally designed content-ready Customer Insight PowerPoint Presentation Slides for the better understanding of consumer buying behavior to increase sales. Collect the required information about the customers to acquire, develop and retain customers. Incorporate ready-made customer insight PPT presentation slideshow to comprehend the customer’s choice for their favourite brand, their mindsets, motivations, moods, desires, aspirations, etc. This deck comprises of templates such as research methodology, consumer insight assumptions, need for consumer insights, key statistics, data collection and processing, consumer insight capabilities, consumer insight components, consumer insight characteristics, consumer insight key elements, YouTube analytics, google audience retention tool, google trends, google analytics, consumer insight maturity matrix, consumer engagement principles, etc. These templates are editable. Change color, text, icon, and font size as per your need. Add or remove content, if needed. Get access to the ready-made customer insight PowerPoint templates to connect the interests of the consumer with features of the brand. Advise folks on how to decide correctly with our Customer Insight Powerpoint Presentation Slides. Be able to guide the injudicious. https://bit.ly/3Bo87wP
What stops an order from being paid at your company?
For most, ineffecient operations that lack automation and integration for order-to-cash management are the major blockage point. In this webinar, you will learn how companies are addressing these challenges.Companies of all sizes are using an integrated approach that embeds policy, automates processes, and drives workflow with online portals for internal and external collaboration.
This new operations approach results in:
Increased Productivity of Credit Operation
Collaboration Between Credit, Sales, Customers, A/P and Treasury
Reduced Dispute Cycle Time and Volume
Mitigated Corporate Credit Risk
Improved Customer Relationships
Customer analytics. Turn big data into big valueJosep Arroyo
BIRT Analytics is a customer analytics solution that allows companies to gain valuable insights from big data. It integrates data from multiple sources, analyzes large volumes of data, and provides clear and granular customer information. Tools allow users to explore data, identify patterns, profile customers, and forecast trends. Advanced analytics help optimize marketing, identify cross-sell opportunities, and understand customer behavior. The solution aims to help companies understand customer needs and adapt strategies based on real customer data.
The challenges and opportunities faced today by CFOs and Finance professionals are echoed across all industries. This presentation will help you make the most of Dynamic Analysis by showing easy-to-interpret, visually powerful KPI's in one dashboard view that includes Revenues, Profitability, Cost of Revenues, Net Revenue, SGA, Operating Income, ROI, Gross Profit %, Current Ratio, Inventory Turn, Leverage and more. All in a single view.
The six-step guide outlines how to break through the analytics barrier and fully realize the benefits of analytics programs. The six steps are: 1) define customer experience outcomes, 2) integrate a big data infrastructure, 3) rethink the customer journey, 4) enhance insights with digital data and processes, 5) construct solutions from the customer perspective, and 6) test and measure for outcomes. Following these steps helps move analytics initiatives beyond operational reporting to enabling predictive insights that improve the customer experience.
Data Driven Transformation for Sales - SMART Territory ManagementBarry Magee
This document discusses implementing a data-driven territory management strategy to improve client engagement and sales effectiveness. It proposes identifying client needs through data analytics, creating "Client on a Page" profiles, and selecting optimal clients to contact using a "SMART" system. An initial pilot showed increased lead conversion rates, win rates, and revenue from the SMART-selected clients compared to rep-selected clients. The document recommends fully integrating the approach into systems and processes to maximize adoption and business benefits.
How to start the journey of Data science in your organizations. Find how to understand the business objectives, AI Frameworks, Methodologies and canvas models to help you depict business potential scenarios for justification.
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Business Intelligence Industry Perspective Session IPrithwis Mukerjee
The document discusses business intelligence and the evolution from early manual management systems to modern performance management systems. It describes how businesses now require real-time analytics to optimize operations and gain competitive advantages. Modern business intelligence systems integrate data from various sources and use dashboards and reports to provide insights across different levels of the organization for improved decision making.
The NBMDA (North American Building Material Distributor Association) is made up of high quality distributors serving the building community. I was asked to speak about how CRM systems can be used to enhance their business and provide some advisement on how to best approach
The document discusses implementing a successful customer relationship management (CRM) system and outlines several key steps:
1) Establish a project team to drive specification and promote buy-in from stakeholders across the organization.
2) Analyze customer data to understand purchasing behaviors and quantify business opportunities to build a strong business case for investment.
3) Implement CRM as a business strategy supported by processes, culture, and technology to provide a unified view of customers and measure ROI.
Data analysts and data scientists are becoming commonplace in most businesses nowadays and employing them on a full-time basis creates a severe financial burden to the management; this is where HLB HAMT and their data analysis professionals step in.
The Dream Team - Getting Involvement Above and Beyond Salesdreamforce2006
The document discusses how two companies, Spherion and Ryder, implemented Salesforce to improve collaboration beyond their sales teams. Both started with a small implementation focused on data quality and key processes before expanding use. This approach drove adoption by showing tangible benefits. It resulted in greater visibility, faster processes, and improved coordination across departments for both companies.
This document provides an overview of how to write an effective business plan in 3 pages or less. It discusses the key elements that should be included such as an executive summary, company description, market analysis, management plan, and financial projections. The document emphasizes that a business plan is an organized way to evaluate all aspects of a business and can be used as a management tool and to seek financing. It provides guidance on how to address each section and examples of the type of information that should be presented.
The Power of a Proper North Star MetricRocketSource
The document discusses finding and leveraging a North Star Metric, which is a single metric or set of metrics that a company uses to focus on sustainable growth. It recommends that the North Star Metric be easy to understand, reflect customer value, lead to correlated growth, and be measurable. It also discusses frameworks for identifying potential North Star Metrics, such as looking at customer and business experiences, as well as reconciling brand and customer experiences to identify a metric. Finally, it notes that the North Star Metric should start with retention and the back of the funnel in mind.
Most of the businesses are sitting on various types of data, which they are assessing during their business operations. But most of the time, the available data is not effectively organized or consolidated to analyze and interpret.
This document discusses implementing a customer relationship management (CRM) system for nonprofit organizations. It addresses key concerns around CRM implementation like data quality and buy-in. It compares CRM to legacy membership systems and outlines a customer management framework. It also provides questions to assess an organization's readiness for CRM and discusses promoting buy-in, creating a business plan, and how a consultant can help with implementation.
This document discusses business intelligence (BI), including its definition as IT-enabled business decision making based on data analysis, why BI is important for making informed decisions and gaining competitive advantages, the advantages it provides organizations, key technologies that support BI like data warehousing and analytics tools, the common components of BI systems, how BI can be applied in management, stakeholders in BI systems, and an overview of data mining and the tools used.
Data discovery, channeling data, data visualization, and problem-solving; our experts are ready to help any businesses who need assistance on big data.
Marcus Baker: People Analytics at Scale
People Analytics Conference 2022 Winter
Website: https://pacamp.org
Youtube: https://www.youtube.com/channel/UCeHtPZ_ZLZ-nHFMUCXY81RQ
FB: https://www.facebook.com/pacamporg
The document outlines an 8-step process for organizations to build a data-driven culture centered around web analytics. It discusses establishing urgency, gaining executive buy-in, developing a vision with analytics at the core, internal communication strategies, identifying quick wins, continuous improvement processes, and routinely using data to drive insights. Organizations should assess where they are along a 5 stage path from just starting to use analytics tools to having fully integrated data systems that continuously deliver insights.
This document provides an agenda and overview for a data warehousing training session. The agenda covers topics such as data warehouse introductions, reviewing relational database management systems and SQL commands, and includes a case study discussion with Q&A. Background information is also provided on the project manager leading the training.
How A Good Customer Data Management Can Get You Better ResultsWay2Online
Customer data management has evolved from paper records and software installed on individual computers to cloud-based systems that are easier to use and maintain. Effective customer data management provides insights into customer behavior that allow companies to better target their marketing, improve customer service, and innovate to meet customer needs. By collecting, organizing and analyzing customer data, companies can segment customers into groups with similar characteristics and develop a deeper understanding of each segment to improve business performance.
A presentation discussing the benefits of developing a customer experience dashboard to measure customer happiness and to help drive business planning and efficiency. Includes top tips when scoping and planning a dashboard project.
水晶易表Dashboard Webinar 20 May 2009 Printzhaoguang721
The document discusses dashboards and how they can empower users with critical business information. It describes different types of dashboards including operational, tactical, and strategic dashboards. It also outlines key considerations for designing effective dashboards such as user requirements, visualization, and interactivity. The presentation demonstrates how Xcelsius can be used to create interactive dashboards and concludes with next steps for evaluating dashboards.
Business intelligence is a tool that transforms raw data into meaningful information to help businesses make better decisions. It helps managers and executives cut costs, identify opportunities, and improve processes. While the term was coined in 1865, business intelligence has grown more powerful due to increased data collection, storage capacity, and lower storage costs. Companies now use data from various digital sources for business intelligence. It provides benefits like accelerating decision making, optimizing processes, increasing efficiency, and gaining competitive advantages. Common business intelligence software tools are used to analyze historical, current, and predictive data for purposes like performance management and benchmarking against competitors. For successful implementation, companies must have clean data, effective training, clear ROI definitions, and focus on business objectives rather than
Similar to What are we missing out in standard Analytics Practice? - By Novoniel Deb (20)
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
What are we missing out in standard Analytics Practice? - By Novoniel Deb
1. What are we missing out in standard
Analytics Practice?
By: Novoniel Deb
2. Data and business transactions
Products/
Services
Employees Cash FlowCustomers
A huge potential
of business data
Marketing
Support
Feedback
Sales
Expertise
HR Skills
Rewards Rewards
Work
Management
Resource
ManagementDelivery
Billing
Payables
Receivables
Stock Logistics
Retail
Social
Media
Over Draft
Interest
Project
CRMMarketing SCM HRMS Finance /
Accounting
Projects RetailCustomer
Feedback
and
Support
Admin
Admin Stores /
Delivery
Purchase
So what we see here?So what we see here?So what we see here?So what we see here?
Isolated
applications / tools
managing their
own data
Limited correlated
data between
separate platforms
And of course separate
heads and owners of
those sections focusing
only on their transactions
3. Standard Analytics Practise
Focusing on onlyFocusing on onlyFocusing on onlyFocusing on only
certain datacertain datacertain datacertain data
points and factorspoints and factorspoints and factorspoints and factors
and statistics overand statistics overand statistics overand statistics over
themthemthemthem
So what’sSo what’sSo what’sSo what’s
missing?missing?missing?missing?
Many of the missed
out fields has the
potential to give
insight on the
impact and affect
that they can make
on the Independent
data points
Business and
department owners
are too busy with
making sales and
management. For
them the insight on
key information is
sufficient
So how do we help the
business into making them
believe and make the missing
information part of their daily
insights and actions?....see
the next slide
Insight of business
data through KPIs
and reports related
to Key Focus Areas
corresponding to
pain areas and
control points
In this we start with
one business
process/departmen
t/area and deploy
the Analytics based
on the exact need
stated by users
Starts with
One per
department/b
iz section
Grows to
multiple
dashboard
per
department
/ biz section
Sone day we build
and deliver some
consolidated
dashboards,
tagging them with
words like 360
degree view
This seems to be a perfect way ofThis seems to be a perfect way ofThis seems to be a perfect way ofThis seems to be a perfect way of
Analytics practise where we keep onAnalytics practise where we keep onAnalytics practise where we keep onAnalytics practise where we keep on
collecting requirement as per businesscollecting requirement as per businesscollecting requirement as per businesscollecting requirement as per business
pain / focus areas and keep deployingpain / focus areas and keep deployingpain / focus areas and keep deployingpain / focus areas and keep deploying
dashboards to help management takedashboards to help management takedashboards to help management takedashboards to help management take
corrective and better decisioncorrective and better decisioncorrective and better decisioncorrective and better decision
We miss out many
data points while
the data flows from
on transaction
system to the
another (at many
points they don’t
even flow)
4. How?
Gather requirements of
business users whenever
they ask for
Mine the data related
to the requirements
Collect more insights on the data
sets with other impacting data
points and share with the
business users
Build and deploy the analytics
dashboards for the business
users containing additional
insights
Do study and research for
including other potential data
points and inform the
management to get them
captured
Analyse the impact of the
dashboards on business
Mine other data sets
Collect the potential
insights which are missed
out. Share with the
business users to make
them use those
Make this aMake this aMake this aMake this a practicepracticepracticepractice,,,, iiiinnnnssssttttiiiittttuuuuttttiiiioooonnnnaaaalllliiiizzzzeeee tttthhhheeeemmmm
Here I am not even talking about forecasting, Big Data
etc. Those are required but first we need to
standardize few things