This presentation briefly explains the following topics:
Why is Data Analytics important?
What is Data Analytics?
Top Data Analytics Tools
How to Become a Data Analyst?
Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
How Technology impacts us with its new reforms from Bulb to Robot.
How it works in Daily routine from playing BGMI to OCULUS from META FACEBOOK
playing CALL OF DUTY and all.
This presentation briefly explains the following topics:
Why is Data Analytics important?
What is Data Analytics?
Top Data Analytics Tools
How to Become a Data Analyst?
Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
It is a brief overview of Big Data. It contains History, Applications and Characteristics on BIg Data.
It also includes some concepts on Hadoop.
It also gives the statistics of big data and impact of it all over the world.
How Technology impacts us with its new reforms from Bulb to Robot.
How it works in Daily routine from playing BGMI to OCULUS from META FACEBOOK
playing CALL OF DUTY and all.
MIS 02 foundations of information systemsTushar B Kute
The series of presentations contains the information about "Management Information System" subject of SEIT for University of Pune.
Subject Teacher: Tushar B Kute (Sandip Institute of Technology and Research Centre, Nashik)
http://www.tusharkute.com
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytic...Edureka!
Data Analytics for R Course: https://www.edureka.co/r-for-analytics
This Edureka Tutorial on Data Analytics for Beginners will help you learn the various parameters you need to consider while performing data analysis.
The following are the topics covered in this session:
Introduction To Data Analytics
Statistics
Data Cleaning and Manipulation
Data Visualization
Machine Learning
Roles, Responsibilities and Salary of Data Analyst
Need of R
Hands-On
Statistics for Data Science: https://youtu.be/oT87O0VQRi8
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
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3 pillars of big data : structured data, semi structured data and unstructure...PROWEBSCRAPER
There are 3 pillars of Big Data
1.Structured data
2.Unstructured data
3.Semi structured data
Businesses worldwide construct their empire on these three pillars and capitalize on their limitless potential.
Big Data Ppt PowerPoint Presentation Slides SlideTeam
Big data has brought about a revolution in the field of information technology. Our content-ready big data PPT PowerPoint presentation slides shed light on the importance and relevance of large volumes of data. The data management presentation covers myriad of topics such as big data sources, market forecast, 3 Vs, technologies, workflow, data analytics process, impact, benefit, future, opportunity and challenges, and many additional slides containing graphs and charts. The biggest benefit that this big data analytics presentation template offers is that it enables you to unearth the information that can be used to shape the future of your business. Moreover, these designs can also be utilized to craft your own presentation on predictive analytics, data processing application, database, cloud computing, business intelligence, and user behavior analytics. Download big data PPT visuals which will help you make accurate business decisions. Enlighten folks on fraud with our Big Data PPt PowerPoint Presentation Slides. Convince them to be highly alert.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Big data characteristics, value chain and challengesMusfiqur Rahman
Abstract—Recently the world is experiencing an deluge of
data from different domains such as telecom, healthcare
and supply chain systems. This growth of data has led to
an explosion, coining the term Big Data. In addition to the
growth in volume, Big Data also exhibits other unique
characteristics, such as velocity and variety. This large
volume, rapidly increasing and verities of data is becoming
the key basis of completion, underpinning new waves of
productivity growth, innovation and customer surplus. Big
Data is about to offer tremendous insight to the
organizations, but the traditional data analysis
architecture is not capable to handle Big Data. Therefore,
it calls for a sophisticated value chain and proper analytics
to unearth the opportunity it holds. This research
identifies the characteristics of Big Data and presents a
sophisticated Big Data value chain as finding of this
research. It also describes the typical challenges of Big
Data, which are required to be solved. As a part of this
research twenty experts from different industries and
academies of Finland were interviewed.
MIS 02 foundations of information systemsTushar B Kute
The series of presentations contains the information about "Management Information System" subject of SEIT for University of Pune.
Subject Teacher: Tushar B Kute (Sandip Institute of Technology and Research Centre, Nashik)
http://www.tusharkute.com
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytic...Edureka!
Data Analytics for R Course: https://www.edureka.co/r-for-analytics
This Edureka Tutorial on Data Analytics for Beginners will help you learn the various parameters you need to consider while performing data analysis.
The following are the topics covered in this session:
Introduction To Data Analytics
Statistics
Data Cleaning and Manipulation
Data Visualization
Machine Learning
Roles, Responsibilities and Salary of Data Analyst
Need of R
Hands-On
Statistics for Data Science: https://youtu.be/oT87O0VQRi8
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
3 pillars of big data : structured data, semi structured data and unstructure...PROWEBSCRAPER
There are 3 pillars of Big Data
1.Structured data
2.Unstructured data
3.Semi structured data
Businesses worldwide construct their empire on these three pillars and capitalize on their limitless potential.
Big Data Ppt PowerPoint Presentation Slides SlideTeam
Big data has brought about a revolution in the field of information technology. Our content-ready big data PPT PowerPoint presentation slides shed light on the importance and relevance of large volumes of data. The data management presentation covers myriad of topics such as big data sources, market forecast, 3 Vs, technologies, workflow, data analytics process, impact, benefit, future, opportunity and challenges, and many additional slides containing graphs and charts. The biggest benefit that this big data analytics presentation template offers is that it enables you to unearth the information that can be used to shape the future of your business. Moreover, these designs can also be utilized to craft your own presentation on predictive analytics, data processing application, database, cloud computing, business intelligence, and user behavior analytics. Download big data PPT visuals which will help you make accurate business decisions. Enlighten folks on fraud with our Big Data PPt PowerPoint Presentation Slides. Convince them to be highly alert.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Big data characteristics, value chain and challengesMusfiqur Rahman
Abstract—Recently the world is experiencing an deluge of
data from different domains such as telecom, healthcare
and supply chain systems. This growth of data has led to
an explosion, coining the term Big Data. In addition to the
growth in volume, Big Data also exhibits other unique
characteristics, such as velocity and variety. This large
volume, rapidly increasing and verities of data is becoming
the key basis of completion, underpinning new waves of
productivity growth, innovation and customer surplus. Big
Data is about to offer tremendous insight to the
organizations, but the traditional data analysis
architecture is not capable to handle Big Data. Therefore,
it calls for a sophisticated value chain and proper analytics
to unearth the opportunity it holds. This research
identifies the characteristics of Big Data and presents a
sophisticated Big Data value chain as finding of this
research. It also describes the typical challenges of Big
Data, which are required to be solved. As a part of this
research twenty experts from different industries and
academies of Finland were interviewed.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
"Enabling role of ICTs to transform smallholder farmers to entrepreneurs”. An overview of IFAD-funded ICT related activities supporting rural enterprises. Presentation at FAO Rome, 27 October 2010 by Michael Hamp, Senior Rural Finance Advisor and Head of the Financial Assets, Markets and Enterprise Development Unit of the Programme Management Department, IFAD.
Europe needs a clear strategy for leveraging Big Data
Economy in Europe. Our objectives are work at technical, business and policy levels, shaping the future through the positioning of Big Data in Horizon 2020. Bringing the necessary stakeholders into a sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
In this presentation Gregory A. Green talks about the uses of predictive analytics at Google, and the rewards and benefits they are able to draw from using them. In partnership with using them with the their isight tools, Google are able to be more specific in their aims and work on developing trusted platforms.
How Do We Heal the Healthcare Value Chain? - 9 MAY 2013Lora Cecere
Over the last decade, as shown in figure 1, the hospital supply chain has been one of the few that has improved operating margin, reduced inventory and improved revenue/employee. In contrast, the manufacturing suppliers to the hospital organization have grown inventories and struggled to preserve margins. Across the value chain from the patient to the raw material suppliers, total inventories have grown and costs have escalated. With pending regulations, hospitals are being forced to rethink processes, redefine value and work more holistically to improve sourcing practices. The suppliers to the hospital systems are having to rethink their systems to rethink the customer (from selling to the physician to selling to a more formal buying organization based on patient outcomes) and adapt to the new processes within the hospital for value analysis.
Supply chain processes within the hospitals have matured. Hospitals have made more progress on improving cash-to-cash cycles than their upstream manufacturing trading partners. They have reduced inventories and attempted to work with suppliers. As shown in figure 2, it is notable to see that this industry is one of the few where downstream trading partners have actually improved payable terms for their suppliers.
The future lies before the healthcare provider. As the provider of patient care, they have the greatest potential to lead in the healthcare value chain’s redesign to improve value. They have come a long way, but the changes have been incremental. They have focused primarily on traditional sourcing techniques; not a redesign of the healthcare value chain from the outside in, and the redefinition of complex and antiquated processes.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Tableau Conference 2014: How One Agency Evolved from Vendor to Strategic PartnerSIGMA Marketing Insights
Andrew Lucyszyn, VP of Digital, tells the story of how SIGMA transformed from a standard vendor to a trusted, valued strategic partner for a client with the help of Tableau technology.
This presentation was originally shared on September 9, 2014 in Seattle.
Go Predictive Analytics, LLC is a premier data mining and predictive analytics consulting company. We remove the barriers that loom large with creating and deploying data mining solutions for high ROI.
How US Open 2014 fans caught Serena Williams' winning jump real time!Anne Phey - Innovator
US Tennis Association delivers a dynamic live streaming of the US Open Tennis 2014 with data and insights of the games, so fans all over the world can follow the matches and catch their favorite players play and score. Find out how technology made it possible through cloud and elastic storage to see Serena Williams' victory jump! By Anne Phey
How US tennis association wowed fans with Software Defined Storage.Anne Phey - Innovator
IDC has ranked IBM as the top supplier of Software Defined Storage Platform. How the US Tennis Association gave their fans real time scores and analysis.
Session 1/8. Introduction. The Strategic Content Alliance, JISC sponsored workshops on Maximising Online Resource Effectiveness, held on different occasions throughout 2010 and delivered by Netskills.
To mark the 20th anniversary of EU Single Market the British Embassy hosted a half-day Forum, “Digital is GREAT”, to focus on an EU digital single market on Thursday 1 November 2012 at the British Ambassador's Residence.This is part of my keynote presentation at that event
There is a lot of buzz around Internet Of Things. See what Brands like Cisco, Erricson, Phillips have to say about it. Also see the viral nature of IOT in social media.
Read along to understand more about Internet of Things
The world has developed faster than humans even imagined it to. It is coming to a stage where almost everything is beginning to depend on internet. So, what exactly is Internet of Things? Anything and everything which can be assigned an IP address and provided the ability to transfer data can be branched under internet of things.
While it is still a human who operates a computer, when it comes to storing and remembering data, a computer might perform better. This being said, humans have become completely dependent on a system in every walk of their life. Some companies have utilized this opportunity and also leveraged it to derive profits. This has also helped people keep track of latest happenings, of things that they like and more.
Fundamentals of Big Data in 2 minutes!!Simplify360
In today’s world where information is increasing every second, BIG DATA takes up a major role in transforming any business.
Learn the fundamentals of big data in just 2 minutes!
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceJedha Bootcamp
Depuis les 5 dernières années, nous avons créé plus de données que depuis les débuts de l'humanité. Nous produisons aujourd'hui tellement de données qu'il devient difficile de les gérer. C'est ce qu'on appelle le Big Data. Durant ce workshop nous parlerons des enjeux du Big Data et de ses applications concrètes dans notre société.
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/
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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.
4. How big is BIG?
Twitter users send out 277,000
tweets
Facebook processes 350GB of data
EVERY MINUTE
100 hours of new video are uploaded
on YouTube
Google processes more than 2 million seach
queries
5. Each hour, enough information is
consumed online to fill
7 million DVDs
Source: http://events.sap.com/sapphirenow/en/session/2310
The current global storage capacity for digital
information requires stacking a pile of CD-ROMs
on top of one another, would stretch 80,000
km beyond the moon
6. The 500,000 data centers are large enough to fill
5,995 football stadiums
Source: http://realcomm.com/advisory/advisoryPrint.asp?AdvisoryID=544
13. Big Data Value
Healthcare and Medical discoveries
• Prediction and preventive analysis bird flu –
prevent mass outbreaks of the virus
Retail and service industries
• Purchase behaviour and preference tracking,
real-time personalisations
Transportation and Logistics
• Mapping and route planning
Government
• Cost savings
14. Big Data Market Forecast ($US BILLIONS)
$53.4
$48.0
$32.1
$16.8
$10.2
$5.1
2012 2013 2014 2015 2016 2017
20. The Big Question
• Big Data is here to stay.
• How and where do you begin your
journey?
21. Big Data, Small Steps
•Data Storage
•Data Management &
Workflow
•Data Movement
22. De-Brief
IT System and Infra-Structure
Appliances
CLOUD
Programming
Analytics
Data
Mining
Automation
WorkFlow
SMIs/SME
s
Government/PLCs/MNCs
BIG DATA Value Chain
Social
Media
BYOD RFID
23. IT System and Infra-Structure
With OPEX Model and the Sentinels, it is now available for
ALL
Big Data – I willadress just 4 crucial areasWhy is it considered the big bang?What is the big question?Why is there so much buzz about it?Why is it all about data? What part of the data is it all about?*Under storing – managing and maintaining.We will go into more details where our…spec n sgl…will give you their insights.Our r and d director Mr. Lim will talk abit about DigiFlowStoring Data – That is where our principal Spectra will come in to store data – More to storing data – follow up by our other principlesIntroduce the data (managing and moving data – SGL)
Big Data is for Big BoysData is growing – costly, difficult, struggling to implement. What are you doing in this area?*sounds good but cannot implement.Attend big data seminar at tm – application – I was there.If you’re not an MNC – high hanging fruitOne day going to be big. Know about it.Know about it – cost, complexity, come down which happen to a lot of it base servicesi.t. becoming commoditize – see the big diff?Big expensive, becomes big and affordable…..
InterestinginfographicEvery minute~~~350Gb = whole of library’s books provide a reference5000 ebooks EVERY MINUTE – 60 secondsImagine 15 0s of what?Convert it something relatable1 hour HD of videoHow many hollywood films?
Need to redo the infographic – bad colouringIceberg analogy
-Game changing effects of big data (McKinsey)-Big data could potentially change competition – transform processes, radically alter corporate ecosystems, facilitate innovation-Already we are experiencing this effects – Google, LinkedIn, FB – change how we search, look for informatio.
What did the big guys see?Our PM saw it – put it up
Retail-Tracks purchases and sales, offers insights and clues about how customers behave (McKinsey & Company)-Real-time personalisation possible – big data – track the behaviour of individual customers from internet click streams, recognise when customers are nearing a purchase decision – also pose some problems, which we will see later.-Widely available data- internet purchases, social-network conversations, location specific interactions GeneralUse business analytics to guide decision making – experience higher returns on investments,Enable networked organisations to gain a competitive edge by opening up information silos internally – by engaging customers and suppliers strategically through web based exchanges of into. (McKinsey)Key basis for competition:
Business value – in total is going to come to this amount in the future. Just some examples of what the big boys are doing. This is what they are doing now.Source???According to who…??Credibility
VOLUMEPresence of vastand massive quantities of data-New storage technology-Distributed storage -Classical storage: File base-SAN storage – becomes block base-Distributed storage – object base-*very deep into technology – if interested, hope you have registered your email – send you whitepapers. We hope we can hold a more technical base seminar for all of you in the near future.VELOCITYDemand for high velocity data streamsTo do with distributed storage-physically – hardware wise, gotta do with storage software wise, you need new algorithms – hearing hadoop python, hive. Pig…etc.VARIETY-Primarily unstructured data that requirescomplex pre-processingandcleansing.Algorithms and programming – hear things like R, new professions like Data Scientist, statisticians, data analyst.All this in Msia, we have yet to develop into this big data area.
LINKWe say its vague, because big data is like the blind men and the elephant.Different people see different partIf today, you don’t see, I don’t blame you….^^
-Key competition – MckinseyCompanies need to act and start thinking whether to organise and exploilt big data’s potential and the threats it can poseDemands new skills which is now insufficient – graduates are ill equiped.’Effect and disrupt existing data and information management models – disruptive business models Is Big Data only for the big boys –Already organisations are making big data as part of the core element of strategy.Already implementingChallenge is to look a flexible infra that can integrate info, scale and meet the massive deluge of data.Have algorithms, analytics in space to make sense of the data.Not all industres are created equal – some industries are more “ready” than most, and are able to reap the benefits sooner. Or have stronger benefits to do so.*if you have a lot of big big data, the first thing you do, is how to store themWe have spectra logic to come and present to store the data *how do you manage them – SGL*move them thru small pipes – Signiant
Back to spectra – this is where in today’s programme, we have manufacturers in the different areas to share with you the knowledge.For data storage and management we have Spectra from USA(LOGO)The emcee will introduce the company on board. What you see in the picture, are already installed in some premises in msiaWho?Not right for us to mention names, but you will know.Moving data-all digital Adidas Carry data in portable drive, thumbdrive, everywhereSend it by courierNow moving internally via the network infrastructure ethernetglobally – internetEven internally within the ethernet we get traffic jamsIm sure all of you face this issue – over the internet, despite all the fiber connection, still got traffic jam.Buffering? During video playbackHow many times, a friend said you send an email, reply have not receive? Or an sms?Whether you have receive or spam.All this issues are related to data transferClever solutionsHow would you like a technology, when you send a file, it ensures that it gets to its destination? That it will bypass the traffic jam? This is where signiant has got the answer.Unfrotunatelykc cannot make it, they were here a few days earlier, have other things to work on, so they cram all the info into kc.Technology – what it is, some clever people will come up with solution to come up the best as they can.