How to use the power of data in e-Commerce? Applying the Big Data solutions makes it possible to analyse data in real time. This allows us to use the data not for reports only, but to translate them into action.
Understanding Retail Catchment Areas with Human Mobility DataCARTO
In this webinar in partnership with Databricks, you learn how to build more accurate catchment area analysis using human mobility location data. You can watch the recorded webinar at: https://go.carto.com/webinars/databricks-spatial-data-science
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Thomas Siebel - Digital transformation - Book Summary Pietro StopponiPietro Stopponi
DIGITAL TRANSFORMATION
Survive and Thrive in an era of mass extinctions
Thomas M. Siebel
Examination of the new technologies that are disrupting business and government, and how organizations can harness them to transform into digital enterprises:
- elastic cloud computing,
- big data,
- artificial intelligence,
- internet of things.
History teaches that those who take the lead in technological revolution reap the greatest reward.
Digital transformation must be driven from the top down BY THE CEO.
Digital Transformation – A necessity NOW!
Book Summary
Don’t have time to read series
Content Curation Pietro Stopponi, MBA Chicago Booth
How to use the power of data in e-Commerce? Applying the Big Data solutions makes it possible to analyse data in real time. This allows us to use the data not for reports only, but to translate them into action.
Understanding Retail Catchment Areas with Human Mobility DataCARTO
In this webinar in partnership with Databricks, you learn how to build more accurate catchment area analysis using human mobility location data. You can watch the recorded webinar at: https://go.carto.com/webinars/databricks-spatial-data-science
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Thomas Siebel - Digital transformation - Book Summary Pietro StopponiPietro Stopponi
DIGITAL TRANSFORMATION
Survive and Thrive in an era of mass extinctions
Thomas M. Siebel
Examination of the new technologies that are disrupting business and government, and how organizations can harness them to transform into digital enterprises:
- elastic cloud computing,
- big data,
- artificial intelligence,
- internet of things.
History teaches that those who take the lead in technological revolution reap the greatest reward.
Digital transformation must be driven from the top down BY THE CEO.
Digital Transformation – A necessity NOW!
Book Summary
Don’t have time to read series
Content Curation Pietro Stopponi, MBA Chicago Booth
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
We will look at how some of the world's most well known brands are transforming themselves in collaboration with Pivotal.
Speaker: Faiz Parkar, Director EMEA GTM, Pivotal
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. Can data models replace traditional metadata solutions? Or should they integrate with larger metadata management tools & initiatives?
Join this webinar to discuss opportunities and challenges around:
How data modeling fits within a larger metadata management landscape
When can data modeling provide “just enough” metadata management
Key data modeling artifacts for metadata
Organization, Roles & Implementation Considerations
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Big data has been a buzzword in today’s business world for the last couple of years and especially in the context of e-commerce. The textbook definition of big data is ‘data sets that are so large or complex that traditional data processing applications are inadequate to deal with them‘. When a person reads this definition, he has the right to assume that processing big data requires state-of-the-art computing technologies coupled with best-in-class engineering approaches and that is pretty much true. Today’s banks, large retailers, insurance companies and telecom giants are all searching for new methods and innovative vendors to be able to derive meaningful results from the vast sources of data they have on hand. If we specifically focus on the use of big data in ecommerce, we may comment that big data on the e-commerce websites and of course on social media never sleeps.
Looking for interesting content on e-commerce and personalization? Check this out : http://www.perzonalization.com/e-commerce-personalization-resources/
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
We will look at how some of the world's most well known brands are transforming themselves in collaboration with Pivotal.
Speaker: Faiz Parkar, Director EMEA GTM, Pivotal
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. Can data models replace traditional metadata solutions? Or should they integrate with larger metadata management tools & initiatives?
Join this webinar to discuss opportunities and challenges around:
How data modeling fits within a larger metadata management landscape
When can data modeling provide “just enough” metadata management
Key data modeling artifacts for metadata
Organization, Roles & Implementation Considerations
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Big data has been a buzzword in today’s business world for the last couple of years and especially in the context of e-commerce. The textbook definition of big data is ‘data sets that are so large or complex that traditional data processing applications are inadequate to deal with them‘. When a person reads this definition, he has the right to assume that processing big data requires state-of-the-art computing technologies coupled with best-in-class engineering approaches and that is pretty much true. Today’s banks, large retailers, insurance companies and telecom giants are all searching for new methods and innovative vendors to be able to derive meaningful results from the vast sources of data they have on hand. If we specifically focus on the use of big data in ecommerce, we may comment that big data on the e-commerce websites and of course on social media never sleeps.
Looking for interesting content on e-commerce and personalization? Check this out : http://www.perzonalization.com/e-commerce-personalization-resources/
Omnichannel Customer Experience. Companies such as Amazon, Facebook, Google, Apple already know that the future of user experience is automated interface creation depending on customer needs.
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Surprising failure factors when implementing eCommerce and Omnichannel eBusinessDivante
We work on the large Omnichannel and eCommerce projects in Europe. Therefore, we can see from the inside how many companies approach this topic. Comparing it with the obtained results, we can determine positive and negative factors influencing success with great certainty. In this presentation we share stories of companies that are not mentioned in our case studies. These are the stories of bad choices, leading to failure.
The secret relation between Big Data, E-commerce and Mel Gibson ||| presented...Data36
https://data36.com
The secret relation between Big Data, E-commerce and Mel Gibson ||| presented @Global E-commerce Summit 2015 in Barcelona
The presentation were about best practices:
- what to test
- what to measure
- what could be the ROI on that
- what conversion can you hit
If you have any questions, contact me at: tomi@data36.com
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
7 Traits of Highly Effective Digital Commerce OrganizationsSameer Khan
Commerce technology spending is up across the board. Retailers are significantly bolstering their capital investment programs. 85% will increase their spend on commerce technology in 2015. Is your organization prepared for the next generation of digital business?
5 Strategies to Supercharge Your Data-Driven MarketingMarketo
The majority of marketers agree — data-driven marketing is an essential practice for any business. But what does it look like to “get it right?” And if your approach is less than sound, what are the consequences?
You'll learn about:
-Why data-driven marketing is so difficult to get right
-How to clean, organize, and manage your database
-Where lead lifecycle marketing and account-based marketing fit into a data-driven approach
-Using your data to create more personalized and engaging experiences
-Implementing the right attribution solution for your organization and team
Getting Started with Online-to-Offline Measurementbrandonwishnow
Although most marketers would agree that online-to-offline measurement is important for the future success of their business, it’s hard to know what steps to take to adopt this strategic initiative.
Ovative/group has found that when done correctly, online-to-offline addresses many of the most complex business problems by providing answers to questions such as: What is the impact of an online visit on offline sales? Does this impact vary by category or product type? What marketing channels influence offline most? And, can I use these channels to drive offline acquisition?
But how do you get started and ensure online-to-offline is a success for your organization? After attending this webinar featuring Ovative/group and LiveRamp you’ll understand:
– Why online-to-offline is important and how to prioritize it among other strategic initiatives
– Who within your organization needs to be involved and how to structure your team
– What technology is required to build online-to-offline measurement capabilities
– How to make digital marketing decisions based on enterprise metrics
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...Mintigo1
To view the full webinar, please visit:
http://www.mintigo.com/how-to-be-a-data-driven-marketing-powerhouse-with-predictive-analytics-big-data/
Description:
How is it that b-to-b marketers have more data sources than ever before, but many are still in the dark about how to reach more of the right prospects? Sometimes the sheer volume of data can seem overwhelming, but it doesn’t have to be. In fact, with the right processes, skills and tools, many companies are transforming their approach to demand creation and letting data do the work for them.
Marketers need to make decisions in a data-rich environment, where vast amounts of customer data are flowing not only from the company’s internal systems such as CRM, marketing automation and web analytics, but also from external sources such as social, mobile, and other sources that can be found all over the web. But how do you separate the good data that signify buying signals from the noise found in the rest of the data? And what new skills and processes bring them to life?
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around:
-How the explosion of big data and emerging predictive technologies is transforming the marketing discipline
-Examples of marketers at leading companies are effectively utilizing big data & predictive analytics
-Recommendations for preparing your marketing team to become a data-driven organization
The Speakers:
- Russ Glass, Head of Products at LinkedIn
- Megan Heuer, VP & Group Director, Data-Driven Marketing at SiriusDecisions
- John Bara, President & CMO at Mintigo
CX Summit 2020 Keynote: Drive CX to the top of your organisations agenda with...Catherine Hills
How can I make this happen in my org?
Information covered:
* COVID and e-commerce case study - is e-commerce saving lives?
* Product development, service delivery and go to market
* Customer services and support
* Technology delivery and enablement
* Employee experience and org culture
* Ethics and governance
* Inclusion and diversity
Elevating customer analytics - how to gain a 720 degree view of your customerActian Corporation
big data creates significant opportunities for marketers. Using big data analytics tools, marketers can improve decision making, deliver better value for their marketing spend, create truly personalized customer experiences, and understand their audience at the level of each individual consumer.
Leveraging big data to drive marketing innovationAndrew Leone
Summary of the book: "The Big Data-Driven Company." Contains insights into leveraging data to drive marketing innovation. To buy this book: http://amzn.to/1YTdtqY
What's the big deal about big data 1 30-2015David Zahn
David Zahn of ZAHN Consulting, LLC and Fred McCormick of CMS Consulting, Inc.discuss the requisite steps to take to maximize the impactfulness of "Big Data" implementations and what steps to take to ensure the success of integrating technological advances into; operations, merchandising, inventory control, in-store marketing, etc.
With there being a significant amount of attention given to leveraging the advantages available through "Big Data" capabilities, the mistakes to avoid will be covered and "real-world examples" will be shared to illustrate the recommendations to ensure that expectations are met and a migratory path is established.
For more information, feel free to contact ZAHN Consulting, LLC and CMS Consulting, Inc. at either: www.zahnconsulting.com or cmsconsultinginc.com.
Presenting the unique advantages you can provide to your client using the Mar...Proscape
Where do Mobile Apps Fit in the Digital Marketing Funnel? This editable presentation is specifically designed to help creative agencies talk to clients about how mobile marketing apps will help them with their sales conversions.
Kathy Bachmann, Executive Vice President and Managing Director for Americas at MarketShare, discussed what it takes for marketers to understand the future of the global marketplace during her presentation at the 2015 Chief Marketing Officer Leadership Forum in Los Angeles on Jan. 27. In her presentation, Bachmann noted that the rising demand for marketing data has led many marketers to leverage sophisticated technologies, but marketers must understand how to optimize these tools to bolster their marketing campaigns.
DEFINING THE FUTURE READY ORGANISATION
Shopping is potentially the area of human behaviour that has been most widely changed by digital technology. Today’s shopper expects their experience to be invisibly shaped around them, at any time, at their fingertips. This report explores how.
How is channel marketing evolving now that the value of consumer data is more...Grace Russell
The explosion of consumer data brings a lot of opportunity to the table, however with increased understanding of it's value, consumers want a lot more for it: individualised conversations, predictive personalisation, hyper convenience - and they want this across their preferred channels, on days and at times that suit them. They want a ‘customer-first’ value exchange, and if that’s not received they will find it somewhere else.
Innovating digital, 2019 and beyond - CIM West Yorkshire from Dave ChaffeyDave Chaffey
My presentation for the Chartered Institute of Marketing in Leeds updated to cover Smart Insights RACE planning framework for an April 2019 talk for West Yorkshire CIM members.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
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.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
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.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
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. INTRODUCTION
Managing Partner, The Big Data Group
Author of Big Data Demystified
Producer of The Big Data Landscape
Serial Entrepreneur
Acquisitions by Keynote, HP, and EMC
• Bootstrapped and venture-backed Author of Why
Startups Fail: And How Yours Can Succeed
General Partner
Mohr Davidow Ventures
Group Program Manager
Microsoft
Actionable Insights From Big Data 2
3. I Started Out As a Big Data Nerd
Microsoft, Redmond WA 1991
Actionable Insights From Big Data 3
7. THE BIG DATA LANDSCAPE, DEC. 2014
Apps
Vertical Consumer Business
Infrastructure
Technologies
Actionable Insights From Big Data 7
Intelligence
Analytics & Visualization
Operational Intelligence
Ad/Media
Data As A Service
Analytics Operational As A Service Structured DB
8. BIG DATA CHALLENGES & OPPORTUNITIES
GOOD INTENTIONS:
64%
of companies planned
to fund a Big Data Project
in 2013 with more
than $1M
[Gartner 2012]
REALITY:
85%
of the Fortune 500 still
won’t be able to use
Big Data for competitive
advantage in 2015
[Gartner 2012]
PEOPLE:
35%
Shortfall in data-savvy
workers needed to make
sense out of
Big Data by 2018
[McKinsey 2011]
Actionable Insights From Big Data 8
9. BIG DATA IS GROWING AT 40% ANNUALLY
Data is growing at a 40 percent compound annual rate, reaching
nearly 45ZB by 2020
Data in Zettabytes (ZB)
50
45
40
35
30
25
20
15
10
5
0
2008 2008 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Source: Oracle, 2012
Actionable Insights From Big Data 9
10. E-COMMERCE & BIG DATA
Business-to-consumer E-Commerce sales will
reach $1.5 trillion this year
— eMarketer
“Finally, after a decade of transformational
impact on other sectors of the economy,the
new frontier of e-commerce has come to food.
Ready or not, our industry must do a much
better job of leveraging this channel.”
— Denise Morrison, Campbell Soup CEO
“Companies that fail to adopt ecommerce
strategies risk stagnation, loss of share…”
— Ad Age, 2014
Actionable Insights From Big Data 10
12. TRANSFORMATION OF RETAIL
NOW…
Data-driven pricing
and recommendations
THEN…
Sales
Image: webdesignerdepot.com
Actionable Insights From Big Data 12
13. TRANSFORMATION OF FINANCIAL SERVICES
NOW…
Automated, high
frequency trading
THEN…
Manual Trading
Actionable Insights From Big Data 13
14. TRANSFORMATION OF CUSTOMER SERVICE
NOW…
Customer Insight
Chart: Zendesk
THEN…
Unhappy Customers
Actionable Insights From Big Data 14
15. TRANSFORMATION OF ONLINE MARKETING
THEN…
Leads
NOW…
Marketing & Sales
Recommendations
Company First Last Oppty Created
Acme Fred Langan $250K 6/08/12
BigCo Tom Jones $100K 6/17/12
DealCo Jan Sedor $50K 7/01/12
Stor
Liza Grear $750K 7/14/12
Works
RF Group Carl Tomer $47K 7/18/12
Actionable Insights From Big Data 15
Campaign
Recommendation
16. TRANSFORMATION OF CITIES
NOW…
Smart meters, smart
transport, data-driven
city design
THEN…
Traditional Infrastructure
Actionable Insights From Big Data 16
17. TRANSFORMATION OF HEALTH & FITNESS
THEN…
Manual Tracking
Walk 45 minutes
Smoothie
Lift weights 20 minutes
NOW…
Goals & Measurement
Images: Azumio, DrChrono, Fitbit, Garmin, Nike
Actionable Insights From Big Data 17
18. TRANSFORMATION OF EDUCATION
NOW…
Adaptive Learning
THEN…
Linear Learning
Images: Khan Academy,
Knewton, Michigan
Actionable Insights From Big Data 18
22. CONTENT ANALYTICS OVERVIEW
• Trusted by many of the world’s largest brands and
retailers
• $5.5M in venture capital funding from Almaz Capital
and Dunnhumby Ventures
• Global presence
• Web-based E-Commerce analytics offering
Actionable Insights From Big Data 22
23. CASE STUDY: MAJOR RETAILER
Business case:
• Find and monitor products that have under-optimized
product content across a 4M+ SKU site
• Recommend products that can be improved and
specific actions to take
• Perform baseline evaluation and report on progress
over time
Results:
• Increased traffic/sales for optimized product pages
• Better customer purchase experience
• Increased collaboration with suppliers
Actionable Insights From Big Data 23
24. CASE STUDY: GLOBAL BRAND
Business case:
• Find and monitor products that have under-optimized
product content across multiple E-Commerce sites
• Recommend products that can be improved and specific
actions to take
• Receive notification of competitor price changes and out
of stock products so brand can adjust pricing and ensure
products are in stock
Results:
• Identified specific opportunities for improvement
• Able to adjust pricing & product availability based on alerts
• Increased collaboration with retailers
Actionable Insights From Big Data 24
25. RANKINGS SCORECARD
See how your products
rank across e-commerce
sites.
Receive Email Alerts
Daily, Weekly, or Monthly
direct to your inbox to track
rankings over time.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
Actionable Insights From Big Data 25
26. PRICE CHECK
See how you stack up
against the competition.
Compare pricing across
retailers with ease!
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
Actionable Insights From Big Data 26
27. RATING & REVIEW ALERTS
Content Analytics lets you
know when your products
receive negative alerts so
that you can reach out to
consumers in a timely way.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
Actionable Insights From Big Data 27
28. OUT OF STOCK ALERTS
Content Analytics prevents
loss of revenue by sending
you daily alerts.
Knowing when your products
are unavailable for purchase is
crucial to rankings and sales.
INSIGHTFUL & ACTIONABLE ALERTS
SENT DIRECTLY TO YOUR TEAM’S INBOX.
Actionable Insights From Big Data 28
29. SUCCESS THROUGH OPTIMIZATION
1. Product Title
Does it contain relevant
keywords?
2. Product Description
Is it platform customized?
3. Images
How many should each
product have?
4. Videos
What can video do for ranking?
5. Reviews
Are customers reviewing after
purchase?
6. Pricing
Are they competitive?
Actionable Insights From Big Data 29
30. CONTENT HEALTH
Identify which products need
attention.
Content Analytics provides
dynamic relevant dashboard
reporting on all aspects, allowing
retailers, brands, and agencies to
make impactful optimizations.
Actionable Insights From Big Data 30
31. PILOT PROGRAM OVERVIEW
Enterprise level analytics tools for optimizing product content,
keyword relevance & rankings in global e-commerce.
What’s Included…
Up to 10 products / Up to 10 competitor products / Up to 10 retail sites
TRUSTED BY MANY OF THE WORLD’S LARGEST BRANDS & RETAILERS
Actionable Insights From Big Data 31
32. Thanks for your time.
LETS TALK. DAVE@CONTENTANALYTICSINC.COM | (415) 754-9338
