Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
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.
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
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.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
ReadySetPresent (Decision Making PowerPoint Presentation Content): 100+ PowerPoint presentation content slides. Successful and effective strategic decision making is a guarantee to increase productivity in every workplace. Decision Making PowerPoint Presentation Content slides include topics such as: the 6 C’s of decision making, inherent personal and system traps, 10+ slides on decision trees, 10+ slides on decision making methods and tips, 4 slides on the GOR approach to decision making, 8 slides on common pitfalls in decision making, 4 slides on effective strategies in making decisions, 35+ slides on the 8 major decision making traps and how to effectively minimize each, 7 slides on different decision making perspectives, 25 slides on the 3 different types of analysis (grid analysis – paired comparison analysis, and cost/benefit analysis), 4 slides on utilizing planning and overarching questions, 4 modes of decision making and 6 factors in decision making and more!
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
ReadySetPresent (Decision Making PowerPoint Presentation Content): 100+ PowerPoint presentation content slides. Successful and effective strategic decision making is a guarantee to increase productivity in every workplace. Decision Making PowerPoint Presentation Content slides include topics such as: the 6 C’s of decision making, inherent personal and system traps, 10+ slides on decision trees, 10+ slides on decision making methods and tips, 4 slides on the GOR approach to decision making, 8 slides on common pitfalls in decision making, 4 slides on effective strategies in making decisions, 35+ slides on the 8 major decision making traps and how to effectively minimize each, 7 slides on different decision making perspectives, 25 slides on the 3 different types of analysis (grid analysis – paired comparison analysis, and cost/benefit analysis), 4 slides on utilizing planning and overarching questions, 4 modes of decision making and 6 factors in decision making and more!
BRIDGEi2i delivers User Experience Analysis with insights into the most critical issues and areas of improvement for the IT customers of a leading global technology company.
Augmented analytics essentially takes all but the first and last part of the general BI Workflow & delivers increasingly relevant business insights.
The need, applications, challenges, new trends and
a consulting perspective
(Why is Big Data a strategic need for optimization of organizational processes especially in the business domains and what is the consultant’s role?)
With every transaction and activity, organizations churn out data. This process happens even in the case of idle operation. Hence, data needs to be effectively analyzed to manage all processes better. Data can be used to make sense of the current situation and predict outcomes. It also can be used to optimize business processes and operations. This is easier said than done as data is being produced at an unprecedented rate, huge volumes and a high degree of variety. For the outcome of the data analysis to be relevant, all the data sets must be factored in to the analysis and predictions. This is where big data analysis comes in with its sophisticated tools that are also now easy on the pocket if one prefers the open source.
The future of high potential marketing lead generation would be based on big data. Virtually every business vertical can benefit from big data initiatives. Even those without deep pockets can use the cloud model for business analytics/big data analysis.
Some challenges remain to be addressed to engender large scale adoption but the current benefits outweigh the concerns.
India has seen a massive growth in big data adoption and the trend will grow though it is generally amongst the bigger players. As quality of data improves and customer reluctance to being honest when they volunteer data reduces, the forecasts will become more accurate and Big Data will have come to its rightful place as a key enabler.
Visual Analytics combines human intuition and data science to derive knowledge from the data in a very efficient, effective and easy way. Visual Analytics empowers your people to interact with the data and generate new insights.
I have been drinking from a virtual fire hose since joining my most recent technology company, Anametrix, a cloud-based digital analytics innovator. A whole new book opened for me on how digital analytics can both increase top line revenue and reduce spend by shining a very bright flashlight into marketing efforts.
We are all painfully aware of the data explosion problem. In 2011, the Gartner Group stated that information volume collected by businesses today is growing at a minimum 59% annually. The rapid adoption of social media has also caused customer data to explode in the last few years, creating entirely new challenges for marketers. It is now imperative for organizations to think differently to accommodate the variety, volume, and velocity of their growing customer-related data.
This is where my recent experiences come in: I have personally seen how digital analytics can harness the power of massive amounts customer-related data. It can literally simplify the accelerating complexity by providing deep visibility – as well as clarity – into the effectiveness of various marketing efforts, across both online and offline channels.
I will now outline the role of IT and CFO in adopting cloud-based digital analytics solutions, discuss the benefits as well as challenges of moving to this emerging category, and provide some illustrative examples on how digital analytics can transform your marketing organization.
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
How Analytics Has Changed in the Last 10 Years (and How It’s Staye.docxpooleavelina
How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)
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June 22, 2017
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Ten years ago, Jeanne Harris and I published the book Competing on Analytics, and we’ve just finished updating it for publication in September. One major reason for the update is that analytical technology has changed dramatically over the last decade; the sections we wrote on those topics have become woefully out of date. So revising our book offered us a chance to take stock of 10 years of change in analytics.
Of course, not everything is different. Some technologies from a decade ago are still in broad use, and I’ll describe them here too. There has been even more stability in analytical leadership, change management, and culture, and in many cases those remain the toughest problems to address. But we’re here to talk about technology. Here’s a brief summary of what’s changed in the past decade.
The last decade, of course, was the era of big data. New data sources such as online clickstreams required a variety of new hardware offerings on premise and in the cloud, primarily involving distributed computing — spreading analytical calculations across multiple commodity servers — or specialized data appliances. Such machines often analyze data “in memory,” which can dramatically accelerate times-to-answer. Cloud-based analytics made it possible for organizations to acquire massive amounts of computing power for short periods at low cost. Even small businesses could get in on the act, and big companies began using these tools not just for big data but also for traditional small, structured data.
Insight Center
· Putting Data to Work
Analytics are critical to companies’ performance.
Along with the hardware advances, the need to store and process big data in new ways led to a whole constellation of open source software, such as Hadoop and scripting languages. Hadoop is used to store and do basic processing on big data, and it’s typically more than an order of magnitude cheaper than a data warehouse for similar volumes of data. Today many organizations are employing Hadoop-based data lakes to store different types of data in their original formats until they need to be structured and analyzed.
Since much of big data is relatively unstructured, data scientists created ways to make it structured and ready for statistical analysis, with new (and old) scripting languages like Pig, Hive, and Python. More-specialized open source tools, such as Spark for streaming data and R for statistics, have also gained substantial popularity. The process of acquiring and using open source software is a major change in itself for established busines ...
CGT Research May 2013: Analytics & InsightsCognizant
A new survey conducted by Consumer Goods Technology (CGT) and sponsored by Cognizant explores how consumer goods companies are approaching data management strategies and usage.
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Booz Allen Hamilton uses its Cloud Analytics Reference Architecture to build technology infrastructures that can withstand the weight of massive datasets – and deliver the deep insights organizations need to drive innovation.
Personal 2014-white paper-business intelligence analytics trendsSoorjaneel Chaterjie
Considering the information highway is pouring in big data into businesses, I feel that in next five years, business analytics will change radically. This whitepaper discusses some of the radical changes that I feel will happen in this area.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that simulates demand signals by associating a buffer inventory need for every SKU and to build a tracking mechanism that ensures optimality.
In this case study learn how BRIDGEi2i helped the world's largest Contract Manufacturer to quantify the impact of demand signal variation on capacity utilization and to build a predictive algorithm to counter demand & supply uncertainties and provision linear Capacity Utilization.
In this case study learn how BRIDGEi2i helped a Fortune 500 Technology company to develop a mobile-enabled dashboard to identify root cause to Throughput, Utilization and Yield metrics and delivered Real-time reporting using the Line Operations system
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to leverage a Teradata environment to pull Bookings, Builds and Shipment information onto 1 platform and to correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that identifies patterns in Direct Customer bookings
and to develop a unique forecasting model for just Direct customers.
In this case study learn how BRIDGEi2i helped the Software Division of a Fortune 100 Technology company to develop an algorithm to forecast revenue from SW at a product level and to understand revenue forecasts from licensing and delivery dimensions.
In this case study learn how BRIDGEi2i helped a Fortune 500 Consumer, Technology company to understand patterns in New Product Introduction and how data can be leveraged for the same
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to understand patterns in New Product Introductions and use this understanding for better insights into planning demand for NPIs
Digital has evolved into a major channel for organizations. From online selling to educational resources or engaging with customers, a online presence has become indispensable for organizations to compete in today's world.
BRIDGEi2i, with its Web Analytics Solution helps you manage your entire online presence across the entire analytics lifecycle.
From descriptive reporting of incoming traffic and your website quality to insights into visitor profiling and predicting visitor intent, BRIDGEi2i will partner with you to engage your visitors better.
Website path analyses, recommendation systems will help you sell and engage your customers and prospects in a personalized manner.
The Client is one of the world’s largest golf entertainment companies with assets in 11 cities across US and UK. As an initiative to improve their brand presence and perception, The Client is interested in (a) understanding the reach of its social media promotion activities and (b) innovative methods to identify & manage consumer sentiments as soon as a negative event has been triggered.
An overwhelming choice of applications, websites and digital platforms leaves our customers with multiple interaction channels and devices to connect with organizations. In a digitally connected economy, businesses need to represent a “single view” of the brand to the customer. The key here is to integrate customer information from multiple touch points and get a 360 degree view of the customer
This presentation talks about BRIDGEi2i’s Customer Experience Tracking Platform – ExTrack and how it could help businesses with near-real-time actionable recommendations for improving customer experience.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This Flyer gives an overview about the key features of BRIDGEi2i’s Employee Analytics Management Solution - EmPOWER
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes in detail about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement with snapshots of key deliverables
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation provides a sneak peak in to the key deliverables of BRIDGEi2i’s Employee Engagement Analytics Solution - EmPOWER
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement
BRIDGEi2i has frameworks to establish Analytics CoE for Supply Chain functions within organizations. Demand planning solution of BRIDGEi2i aims at using advanced statistical forecasting coupled with real-time decision engines models for demand planning, inventory optimization.
Analytics has demonstrably helped transform supply chains in the modern enterprise. Across Procurement, Planning and Operations functions, organizations have benefited from leveraging analytics to optimize business processes and cultivate a data-driven decision making practice. At BRIDGEi2i, we help organizations get the best out of their data assets to address key supply chain challenges.
Market Intelligence has been a central part to a company's strategy since a long time. However, it hasn't evolved fast enough to support today's dynamic environment.
BRIDGEi2i with its Contextual Market Intelligence solutions, provides actionable insights into your target market by marrying domain knowledge, technological expertize and enablement and Analytics capabilities.
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Skye Residences | Extended Stay Residences Near Toronto Airportmarketingjdass
Experience unparalleled EXTENDED STAY and comfort at Skye Residences located just minutes from Toronto Airport. Discover sophisticated accommodations tailored for discerning travelers.
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[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
2. I believe in God!
For everything else, come with Data
The above statement very aptly emphasises the
importance of data in decision making.
Few decades ago, Managers relied on their
instincts to take business decisions. They could
afford to make mistakes and learn from it. Today,
the scope for learning from mistakes is very
minimal. Instincts should be backed by data to
minimise mistakes.
The probability of “customer centric” decisions
being right could be high, if the top management
makes better use of the end user customer data
(such as point of sale data, voice of customer,
social media buzz etc.) to devise business
strategies.
Technological advancements, in addition to
opening new channels of communication with
customers, have also enabled organizations to
collect vital information about their businesses
with customers. But, have these organizations
fully leveraged this data?
Consider a situation where the organization A
makes use of sales data at the “wholesale” level for
making production planning and inventory
optimisation. Organisation B makes use of sales
data at the “Retail level” for the same tasks.
Organisation B, which has better information
about frequency of product consumption at the
most granular level (retail level) is likely to
forecast better than organisation A.
Today, Organizations make use of data for
business decisions, but the data is not close
enough to the customer to reap maximum benefit.
In many cases, importance is not given to the
granularity of data.
Yes, the organisation's objective is to sell to the
“wholesalers” only but the wholesaler will in turn
place a new order only when his stock gets cleared
and this applies to all downstream levels until the
product gets sold to the end user of the product.
Emphasis on the need to make use of information to help organisation's growth
In a global survey of 1,375 subscribers conducted by Harvard Business Review Analytics
Services in January 2010, 85% of respondents said that information is a key strategic asset,
yet only 36% said their organizations are currently well positioned to use information to help
grow their business.
The disparity at the upper end of the scale was even more dramatic; while almost
half—45%—strongly agreed that information is a key strategic asset, only 7% believed they
are very well positioned to exploit it.
Source: HBR Analytics services: Unlocking the value of the information economy
3. Considerations for data driven decision making
Unless data gets used in its most granular form (close to customer) at all managerial levels, it is very
difficult to fully benefit from the fruits of analytics adoption. When granularity of information is
compromised, our decisions can't be accurate. Adopting analytics only at select managerial levels can be a
misleading exercise.
Timing crucial business decisions on changing customer needs is of paramount importance. Granular level
customer data helps point out changing customer needs and behaviours.
Why is it disastrous to use analytics only at select managerial levels?
In the decision value chain, information flows from the bottom level and cascades upwards. Top level
managers make use of this information to take decisions and form strategies. In most organisations, top level
managers have access to BI tools to slice and dice data, but the middle level managers are not equipped with
tools needed to take data backed decisions. They can neither pull granular data dynamically, nor validate the
claims made by the lower level managers. The claims made by the lower management, when cascaded
upwards might paint a wrong picture about crucial metrics. Hence the strategies devised by the top
management could go for a toss. Unfortunately, even today, this problem remains unaddressed in most
organizations!
Emphasis on enterprise wide analytics adoption
“More than 70 percent of the organizations that had deployed analytics throughout their organizations
reported improved financial performance, increased productivity, reduced risks, and faster decision making.”
The Evolution of Decision Making: Harvard Business Review Analytics Services
4. Is it really difficult to adopt analytics at
an enterprise level?
What should the solution look like for
enterprise wide analytics adoption?
Rapid advancement in computer hardware
capabilities has certainly ensured that it is now
possible to scale up the usage of Analytics at an
enterprise level, but it does not facilitate analytics
adoption at the enterprise level, because it is not
that easy!
A solution suitable for enterprise wide adoption
must have the following characteristics
No significant changes to the existing
organizational processes
No need for special coding skills
A basic understanding of statistics needed to
comprehend results
An easy to use consumer app like tool to
perform statistical analysis
Very short learning curve
Zero or Minimal dependency on external
agencies
Lower cost of adoption and implementation
Let us talk about the pain points involved in
implementing analytics/ usage of analytics tools
at an Organisation level:
Need for special coding skills for performing
Advanced Analytics.
Inherent complexities of the Analytics tools
Strong understanding of statistics
Huge training and prohibitive licensing costs.
Significant change to existing organizational
processes
Huge time for implementation
Resistance from the not-so –techy managers
towards analytics implementation
Few decades back, such a solution was a distant
reality. Today it is well within reach. It is now
possible to pack the power of complex analytics
behind a simple consumer friendly user interface.
This can also significantly reduce the learning
curve, training costs and time period for
implementation.
Obviously you can't expect even modern day
managers to start using Analytics tools for
d e c i s i o n m a k i n g ! N o w o n d e r, i n m o s t
organisations such costly analytics tools go unused. Given the prohibitive licensing cost,
“Analytics adoption” becomes a distant dream for
smaller organisations as well.
“Cloud computing” now gives access to high end
hardware at minimal costs. This advantage can
encourage organizations to think about enterprise
wide analytics adoption. Add to this, a “consumer
app” like tool that lets managers dynamically
validate granular data and perform advanced
analytics using simple drag drop operations.
Why invest in cloud based solutions ?
In a new global survey of nearly 1,500 business and technology leaders conducted by Harvard Business
Review Analytic Services, the majority — 85% — said their organizations will be using cloud tools moderately
to extensively over the next three years. They cited the cloud's ability to increase business speed and agility,
lower costs, and enable new means of growth, innovation, and collaboration as the drivers for this fairly
aggressive rate of adoption.
HBR Analytics services -How the Cloud Looks from the Top: Achieving Competitive Advantage In the Age of Cloud Computing
5. Case
“Surveys” are a commonly used by organizations today to collect data that is closest to the customer. There
are many tools in the market today that can execute surveys and perform first level analysis. Such tools
however don't deliver advanced analytics and significant statistical interpretations. On the other hand, the
Analytics tools that have advanced analytics capabilities, are not easy enough to be used by managers and
moreover, demand significant long term investments for licensing and training.
Solution
Imagine a manager being provided with a tool that performs all the complex survey data analytics in the
background and delivers insights such as - “The respondents have given a low recommendation score for our
company's products and services due to the reasons “Difficult to access”, “High turnaround time”, “High cost
of servicing” etc. and the following are the respondents' opinion “Poor IVR”, “CSR's lack technical
knowledge”, “Poor After sales service” etc.”
In technical terms, we call the reasoning part of it as “Key driver Analysis” and the opinion part as “Verbatim
analysis” or “Unstructured data” analysis. Today, in the survey analytics space, performing advanced analytics
with “drag & drop tools” and getting actionable insights (such as the one mentioned above!) within hours, is a
reality. It empowers middle level managers in their decision making and helps them validate the data. It also
serves as an assistant for data scientists. The bottom line is “timely decision making” and “affordability”!
A live example of an “easy-to-adopt” solution.
Surveyi2i is the perfect example of a manager friendly tool which enables dynamic insight generation from
survey data. Surveyi2i is a cloud-based one-stop shop for all analysis and reporting needs from survey data.
Surveyi2i enhances productivity for analysts and researchers. Business managers can derive insights quickly
without help from data scientists. Surveyi2i enables financial institutions to very easily implement datadriven customer and employee engagement strategies by understanding customer needs and experiences
better at negligible costs.”
To know more about Surveyi2i visit http://www.bridgei2i.com/surveyi2i.html
About BRIDGEi2i
BRIDGEi2i provides Business Analytics Solutions to enterprises globally, enabling them to achieve
accelerated business impact harnessing the power of data. These analytics services and technology
solutions enable business managers to consume more meaningful information from big data, generate
actionable insights from complex business problems and make data driven decisions across panenterprise processes to create sustainable business impact. BRIDGEi2i has featured among the top 10
analytics and big data start-ups in several coveted publications.
Office: 389, 2nd Floor, 9th Main, HSR Layout, Sector – 7, Bangalore – 560 102
Phone: (India) +91-80-42102154, (US) +1-650-752-8979
Web: www.bridgei2i.com | email: enquiries@bridgei2i.com
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