We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us.
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
How Artificial Intelligence Consulting Services Are Becoming Important?Tech Mind
Artificial Intelligence and automation are upsetting organizations across the globe. As these new innovations create, numerous organizations are progressively considering coordinating AI or possibly mechanization into their tasks. As indicated by an investigation by Narrative Science the quantity of organizations actualizing AI, inside the space of one year, almost multiplied with an expansion from 38% to 61%. Of these organizations, a quarter use AI for prescient investigation, and 22% use it for AI.
Balancing compliance and value in data management initiativesLeigh Hill
Over the past few years, about 90% of data management has been dedicated to the operational requirements of data governance and regulatory compliance, but this is changing rapidly as financial institutions look to exploit and drive business value from data.
At a growing number of institutions, close to 70% of data management resource is focused on understanding data and implementing analytics that help the business work faster, smarter and identify new opportunities.
How can you shift the balance between operations and business analytics safely and successfully, and ensure investment in data management initiatives delivers proportionate business value?
Join this webinar to find out more about:
-The shift from operations to business led data management
-Ongoing challenges and solutions of regulatory compliance
-How to identify value in data and drive business benefit
-Approaches to balancing operational and business needs
-Technology tools and solutions to sustain the balance
-Ensuring return on investment in data management initiatives
Moving From Insight Creation to Decision Support: How to Break the Insights O...Steve Remington
A presentation made by Minerra's founder and principal consultant, Steve Remington, at Big Data World Asia 2019 in Singapore
Title:
Moving From Insight Creation to Decision Support: How to Break the Insights Obsession
Summary:
The analytics profession has a problem: It is obsessed with insight creation. In the past, the obsession was not a major problem because manually finding and communicating insights was a core task for analytics professionals. The analytics technology landscape is, however, rapidly changing with new technologies like Auto ML, Augmented Analytics and Signal Detection automating ever-increasing parts of the insight creation process.
In this presentation, I will explain why the obsession with insight creation as an objective is a problem and show you how organisations can realign their analytics and data science functions to focus on the true, value-creating purpose of analytics: supporting decision-makers.
The Deloitte CIO Survey report presents the findings from our 2014 global survey, this year with responses from over 900 CIOs, from all major industry groups in 49 countries around the world.
This year’s survey focuses on the CIO as a business leader and a driver of growth through technology innovation. Organisations across the globe are setting their sights on stronger growth and, for many, technology investment is clearly a strategic priority. Digital, analytics and big data are taking precedence as technology is changing the way businesses operate and companies are adapting their operating models to reflect the emerging digital economy. But what role are CIOs playing in this new model?
Highlights of IBM Analytics Research ReportPaul Gillin
These highlights come from the IBM report, Analytics: the real-world use of big data
(http://www.slideshare.net/pgillin/big-data-analytics-study-4-13annotated). This document is used in a blog post that shows how to write a summary of a complex research report quickly.
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
How Artificial Intelligence Consulting Services Are Becoming Important?Tech Mind
Artificial Intelligence and automation are upsetting organizations across the globe. As these new innovations create, numerous organizations are progressively considering coordinating AI or possibly mechanization into their tasks. As indicated by an investigation by Narrative Science the quantity of organizations actualizing AI, inside the space of one year, almost multiplied with an expansion from 38% to 61%. Of these organizations, a quarter use AI for prescient investigation, and 22% use it for AI.
Balancing compliance and value in data management initiativesLeigh Hill
Over the past few years, about 90% of data management has been dedicated to the operational requirements of data governance and regulatory compliance, but this is changing rapidly as financial institutions look to exploit and drive business value from data.
At a growing number of institutions, close to 70% of data management resource is focused on understanding data and implementing analytics that help the business work faster, smarter and identify new opportunities.
How can you shift the balance between operations and business analytics safely and successfully, and ensure investment in data management initiatives delivers proportionate business value?
Join this webinar to find out more about:
-The shift from operations to business led data management
-Ongoing challenges and solutions of regulatory compliance
-How to identify value in data and drive business benefit
-Approaches to balancing operational and business needs
-Technology tools and solutions to sustain the balance
-Ensuring return on investment in data management initiatives
Moving From Insight Creation to Decision Support: How to Break the Insights O...Steve Remington
A presentation made by Minerra's founder and principal consultant, Steve Remington, at Big Data World Asia 2019 in Singapore
Title:
Moving From Insight Creation to Decision Support: How to Break the Insights Obsession
Summary:
The analytics profession has a problem: It is obsessed with insight creation. In the past, the obsession was not a major problem because manually finding and communicating insights was a core task for analytics professionals. The analytics technology landscape is, however, rapidly changing with new technologies like Auto ML, Augmented Analytics and Signal Detection automating ever-increasing parts of the insight creation process.
In this presentation, I will explain why the obsession with insight creation as an objective is a problem and show you how organisations can realign their analytics and data science functions to focus on the true, value-creating purpose of analytics: supporting decision-makers.
The Deloitte CIO Survey report presents the findings from our 2014 global survey, this year with responses from over 900 CIOs, from all major industry groups in 49 countries around the world.
This year’s survey focuses on the CIO as a business leader and a driver of growth through technology innovation. Organisations across the globe are setting their sights on stronger growth and, for many, technology investment is clearly a strategic priority. Digital, analytics and big data are taking precedence as technology is changing the way businesses operate and companies are adapting their operating models to reflect the emerging digital economy. But what role are CIOs playing in this new model?
Highlights of IBM Analytics Research ReportPaul Gillin
These highlights come from the IBM report, Analytics: the real-world use of big data
(http://www.slideshare.net/pgillin/big-data-analytics-study-4-13annotated). This document is used in a blog post that shows how to write a summary of a complex research report quickly.
Discover the 3 factors that you absolutely understand about Big data if you are to leverage it effectively in your organisation, and its not what you think.
How Cloud, Mobile And Big Data Will Change AccountingVipul Sharma
Accounting firms nowadays are looking to expand their client services so as to increase their businesses growth.
The main frame of achieving this goal is improving efficiency. It’s getting harder to ignore the possible outcomes in revenue and efficiency that can be availed with the updated use of technology.
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
Chief Data Officer: Overcoming Data Silos for True Business ValueCraig Milroy
Existing data silos are commonly viewed as a technology problem due to architecture, software, and hardware problems; however this problem cannot be solved by technology alone. Business engagement and support in conjunction with an enterprise approach for data availability, data sharing, and data usage are required to address the proliferation of data silos within an organization.
Data silos are created out of necessity to solve specific business problems in absence of formal enterprise architecture, data handling policies, data governance and other data-centric oversight challenges within an organization.
Customer, marketing, compliance, risk, finance and other corporate functions generate volumes of overlapping data, often with minimal consideration or understanding of tomorrow’s data volume growth.
Business’ that understand the opportunities within concepts such as Internet of Things, mobile, location, context, as well as the introduction of other unstructured open data sets, have an ability to create a competitive advantage within their target market.
These businesses are building out the office of the Chief Data Officer (CDO) to enable an effective business technology response.
How to keep pace with changing technology and increase speed-to-value. In order to keep pace in a constantly evolving marketplace, organizations need a new model for sourcin IT services. Sourcing has become one of the most critical functions of the IT organization.
The Fast Fish Forum is an opportunity for challengers of convention and drivers of progress to come together for the benefit of South African business and society. The forum consists of purposeful, committed and open-minded people across industries, organisations and roles who collaborate and learn together; creating a critical mass that drives innovative change in our country.
At the second event, held at the BSG offices on 16 November 2016, we discussed two highly topical subjects:
1. Enhancing customer value using big data and actionable insights.
2. Driving innovation through customer insights.
To find out more and join the conversation follow us @FastFishForum and http://bit.ly/fastfishforum.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Following Matei Zaharia’s keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.
DataScienceConnect Atlanta 2019 - Building Data & Analytics TeamsJuan Gorricho
Creating an Effective and Diverse Data and Analytics Team
Building data and analytics teams is a competitive endeavor yet one executive has found success in rounding out his data team by developing a conglomerate of data specialists. Once core functions are identified, learn how to equip your team for deeper skills and greater growth.
Discover the 3 factors that you absolutely understand about Big data if you are to leverage it effectively in your organisation, and its not what you think.
How Cloud, Mobile And Big Data Will Change AccountingVipul Sharma
Accounting firms nowadays are looking to expand their client services so as to increase their businesses growth.
The main frame of achieving this goal is improving efficiency. It’s getting harder to ignore the possible outcomes in revenue and efficiency that can be availed with the updated use of technology.
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
Chief Data Officer: Overcoming Data Silos for True Business ValueCraig Milroy
Existing data silos are commonly viewed as a technology problem due to architecture, software, and hardware problems; however this problem cannot be solved by technology alone. Business engagement and support in conjunction with an enterprise approach for data availability, data sharing, and data usage are required to address the proliferation of data silos within an organization.
Data silos are created out of necessity to solve specific business problems in absence of formal enterprise architecture, data handling policies, data governance and other data-centric oversight challenges within an organization.
Customer, marketing, compliance, risk, finance and other corporate functions generate volumes of overlapping data, often with minimal consideration or understanding of tomorrow’s data volume growth.
Business’ that understand the opportunities within concepts such as Internet of Things, mobile, location, context, as well as the introduction of other unstructured open data sets, have an ability to create a competitive advantage within their target market.
These businesses are building out the office of the Chief Data Officer (CDO) to enable an effective business technology response.
How to keep pace with changing technology and increase speed-to-value. In order to keep pace in a constantly evolving marketplace, organizations need a new model for sourcin IT services. Sourcing has become one of the most critical functions of the IT organization.
The Fast Fish Forum is an opportunity for challengers of convention and drivers of progress to come together for the benefit of South African business and society. The forum consists of purposeful, committed and open-minded people across industries, organisations and roles who collaborate and learn together; creating a critical mass that drives innovative change in our country.
At the second event, held at the BSG offices on 16 November 2016, we discussed two highly topical subjects:
1. Enhancing customer value using big data and actionable insights.
2. Driving innovation through customer insights.
To find out more and join the conversation follow us @FastFishForum and http://bit.ly/fastfishforum.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Following Matei Zaharia’s keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.
DataScienceConnect Atlanta 2019 - Building Data & Analytics TeamsJuan Gorricho
Creating an Effective and Diverse Data and Analytics Team
Building data and analytics teams is a competitive endeavor yet one executive has found success in rounding out his data team by developing a conglomerate of data specialists. Once core functions are identified, learn how to equip your team for deeper skills and greater growth.
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Big & Fast Data: The Democratization of InformationCapgemini
Moving from the Enterprise Data Warehouse to the Business Data Lake
Is it possible that ubiquitous analytics represents the next phase of the information age? New business models are emerging, enabled by big data that business leaders are eager to adopt in order to gain advantage and mitigate disruption from start-ups and parallel industries. The winners are likely to be those that master a cultural shift as well as a technology evolution.
Our view is this will be realized through the alignment of a business-centric big data strategy, combined with democratization of the analytical tools, platforms and data lakes that will enable business stakeholders to create, industrialize and integrate insights into their business processes.
Innovative approaches are needed to free up data from silos whilst encouraging both the sharing and the continuous improvement of insights across the business. While it will be evolution for some, revolution for others; the risk of status quo is not just the loss of opportunity but also a widening gap between business and the internal technology functions.
https://www.capgemini.com/thought-leadership/big-fast-data-the-democratization-of-information
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
Marketing & SalesBig Data, Analytics, and the Future of .docxalfredacavx97
Marketing & Sales
Big Data, Analytics,
and the Future of
Marketing & Sales
March 2015
3McKinseyonMarketingandSales.com @McK_MktgSales
Table of contents
Business
Opportunities
Insight and
action
How to get
organized and
get started
8 Getting big impact from big
data
16 Big Data & advanced
analytics: Success stories
from the front lines
20 Use Big Data to find
new micromarkets
24 Smart analytics: How
marketing drives short-term
and long-term growth
30 Putting Big Data and
advanced analytics to work
34 Know your customers
wherever they are
38 Using marketing analytics to
drive superior growth
48 How leading retailers turn
insights into profits
56 Five steps to squeeze more
ROI from your marketing
60 Using Big Data to make
better pricing decisions
60 Marketing’s age of relevance 72 Gilt Groupe: Using Big Data,
mobile, and social media to
reinvent shopping
76 Under the retail microscope:
Seeing your customers for
the first time
80 Name your price: The power
of Big Data and analytics
84 Getting beyond the buzz: Is
your social media working?
90 How to get the most from big
data
94 Five Roles You Need on Your
Big Data Team
98 Want big data sales programs
to work? Get emotional
102 Get started with Big Data:
Tie strategy to performance
106 What you need to make Big
Data work: The pencil
110 Need for speed: Algorithmic
marketing and customer
data overload
114 Simplify Big Data – or it’ll be
useless for sales
54 McKinseyonMarketingandSales.com @McK_MktgSales
Introduction
Big Data is the biggest hame-changing opportunity for marketing and sales
since the Internet went mainstream almost 20 years ago. The data big bang
has unleashed torrents of terabytes about everything from customer behaviors
to weather patterns to demographic consumer shifts in emerging markets.
The companies who are successful in turning data into above-market growth
will excel at three things:
ƒ Using analytics to identify valuable business opportunities from the data to
drive decisions and improve marketing return on investment (MROI)
ƒ Turning those insights into well-designed products and offers that delight
customers
ƒ Delivering those products and offers effectively to the marketplace.
This goldmine of data represents a pivot-point moment for marketing and
sales leaders. Companies that inject big data and analytics into their operation
show productivity rates and profitability that are 5 percent to 6 percent hight
than those of their peers. That’s an advantage no company can afford to
gnome.
This compendium explores the business opportunities, company examples,
and organizational implications of Big Data and advanced analytics. We hope
it provokes good and useful conversations.
Please contact us with your reactions and thoughts.
David Court
Director
David headed McKinsey’s
functional practices, and
currently leads the firm’s digital
in.
Here in a single document is a compilation of my learnings and observations working with real customers over the past couple of years. My thought in consolidating these posts from LinkedIn was to provide an easy hyperlinked reference for leaders interested in breaking through the clutter to learn ways to leverage data for competitive advantage into 2017 and beyond.
As firms move from siloed, transaction-oriented systems to more integrated,
socially aware ones, they will face challenges related to customer data. “Big data”
is characterized by increases in data volume, velocity, variety, and variability. To
improve customer engagement, companies must invest in solutions to effectively
manage big data.
API security is critical to digital businesses as the economy doubles down on operational continuity, speed, and agility. Every day, new threats and vulnerabilities are created, and every day, companies find themselves racing against the clock to patch them.
Watch our on-demand webinar with MuleSoft to learn how to construct multi-layer defences against attacks and safeguard the edge of your network, every API, and your data:
https://www.whishworks.com/event/webinar-implementing-your-apis-with-zero-trust/
Key topics:
– Eliminate vulnerabilities at the network edge based on observed attack patterns at the API gateway
– Enforce security by configuring mandatory policies
– Hide sensitive data with format-preserving tokenization to reduce compliance scope
Organisations using Salesforce will inevitably accumulate technical debt over time. It’s a costly side effect of growth, and to manage it successfully, these organisations need to not only remove their existing debt but also understand its causes and develop a plan to manage it in the future.
To find out more about the key areas you need to cover to carry out a successful technical debt assessment in the Salesforce platform watch our on-demand webinar:
https://www.whishworks.com/event/recording-performing-a-successful-technical-debt-assessment-in-salesforce/
Key topics
– What is technical debt
– Causes of technical debt in Salesforce
– Key areas to assess
– Common tools for diagnosis
– Technical debt assessment results & reporting
In a recent webinar with Confluent, we discussed the many benefits of event streaming for banks, and showcased how forward looking financial institutions are getting ahead of the curve with real-time streaming. These are the key highlights.
To find out more, watch the webinar on-demand here:
https://www.whishworks.com/event/webinar-transforming-banking-with-event-streaming/
Mule runtime is the engine for Anypoint Platform, combining data and application integration across legacy systems, SaaS applications, and APIs. Mule 4 is the latest and most advanced version of Mule runtime engine and has been designed to boost scalability and support performance optimisation and smooth upgrade.
There can be many reasons for you to start considering upgrading to the newest version of Mule. These four are the ones we encounter the most:
1. The Mule version you’re using reaches End-of-Support or End-of-Life
2. You want to make significant updates to the existing applications
3. You want to take advantage of key Mule 4 capabilities
4. You decide to upgrade all of your apps to Mule 4 so that they are on one version
In this guide we cover the areas that we consider the most important for correctly planning and executing your migration to avoid unwelcome delays and surprises that will increase cost and effort.
Predictive Analytics enables organisations to forecast future events, analyse risks and opportunities, and automate decision making processes by analysing historic data.
In this presentation we take a classic example of when we have both traditional databases like Salesforce, SAP, and MySQL, and big data databases that deal with a huge amount of data that would not be possible to do using the traditional databases. Leveraging Anypoint Platform and the relevant connectors, you can start innovating without the complexity that is usually associated with Big Data.
During the recent London MuleSoft Summit, we asked CIOs, IT leaders, integration architects and development leads to tell us about their progress with integrating their systems and applications. This is what they told us.
With the recent release of Mule 4, WHISHWORKS, MuleSoft and Flyin.com got together to discuss what’s new in Anypoint Platform’s new engine and how to streamline the migration from Mule 3 to Mule 4.
The agenda included:
Customer Success Story
What’s new in Anypoint Platform
What’s new in Mule 4
Upcoming Mule 4 Migration toolkits:
- MuleSoft Application Migration Toolkit
- WHISHWORKS Custom Migration Toolkit
Migrating Mule 3 Connectors to Mule 4 with Mule SDK
- Demo
Adapting Mule 4
This presentation from Matt Rogers, CIO at SUEZ UK, was delivered in May 2017 at the MuleSoft Summit in London.
SUEZ UK, one of the largest recycling and recovery companies in the world, are moving closer to their vision of a 'no more waste society,' which is largely dependent on data accuracy for decision making, facilitated by MuleSoft technology and WHISHWORKS expertise.
MOM provides a clean method of communication between disparate software applications and emerged as a approach that distributed enterprise systems are built
This presentation focuses to bring the goodness of JSR303 Bean Validation model [Hibernate RI], Spring framework’s support for custom validation and a blend on how it will work in MuleSoft ESB.
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Big Data Snapshot - June 2018
1. BIG DATA SNAPSHOT
Do you have a Big Data strategy?
Where are you in the Big Data roadmap?
What are the main use cases for Big Data you have identified:
JUNE 2018 | WHISHWORKS
What are the current skill gaps in your Big Data projects?
01
02
03
04
63% 37%
NoYes
What are the 3 biggest obstacles in implementing Big Data in your
organisation?
05
Profitability and compliance have been on top of the agenda of most B2C
businesses in the past 2 years. They are now turning to Big Data solutions to
gain the necessary visibility for strengthening both their business and
governance strategies.
Very often Big Data initiatives fail to prove their value due to lack of strategy
and/or poorly defined expected outcomes. We have also seen initiatives that
started with a strong IT strategy but failed along the way because there had
been no alignment with the overarching business strategy.
Regardless of why organisations decide to implement a Big Data solution,
unless they are able to extract, transform, combine and analyse their data at
scale, they will not be able to derive the desired outcomes. The Big Data
technology landscape requires a whole new skillset and most companies
struggle to bridge the gap.
Embarking on a Big Data journey means embarking on a transformational
journey and, unless top management sponsors it, there is going to be
resistance from across the organisation. Top management expects to see the
business value from any proposal, but often IT fails to translate technical
advantages into compelling business benefits that will in turn help release the
necessary investment.
We asked delegates at the recent Big Data Analytics and MapR
Convergence events in London, about their progress with
implementing Big Data in their organisations. Here is what they told us:
WHISHWORKS is a global IT services and consulting company, specialising in systems
integration and Big Data analytics since 2008. The company works with an ecosystem of
systems integration and Big Data partners, including MuleSoft, Hortonworks, MapR and
Cloudera, to develop leading solutions that enable digital transformation.
www.whishworks.com | marketing@whishworks.com | @WHISHWORKS
38%
18%
13%
12%
12%
6%
Developing
strategy
Identifying
business use
cases
Identifying
relevant
data sets
Proof of Value
Production
Improve &
Optimise
long time-to-insight
Traditional ETL approaches
cannot sufficiently support
Big Data solutions and
companies struggle to find
data engineers experienced
in the Big Data ecosystem.
ANALYTICS
INSIGHTS
Lack of
skills
24%
Budget
19%
Prove
business
value
14%
360º customer view Risk management
Data quality
& accessibility
19%
Company
Culture
24%