Technology trend awareness as a skill refers to being mindful of the technology that is recently becoming popular and is readily accepted in the market or industry.
The 5 Biggest Technology Trends In 2022Bernard Marr
This article outlines the five biggest tech trends that will define 2022. I touch on artificial intelligence, our increasingly smart devices, the 'as a service' revolution, the datafication of our world, the need for more transparency and more accountability, as well as sustainability.
Industry 4.0 or the fourth industrial revolution, which has been introduced by German government in 2012 [1], which is depends on the integration of different categories of electrical and electronic devices, from personal computers, smartphones, smartwatches, machinery robotics and enterprise resource planning systems, which can be integrated together and communicated with others to analyse the optimal criteria of potential solutions for improving productivity via internet [2]. however, the requirements of the new technology will force the old technology to retired. which will will force the big companies to change the specification of the industrial components to keep up with the latest processors. Ultimately, the goal of Industry 4.0 is to produce smarter and resource-efficient factories which are more productive and competitive says Mika Lomax [3]. Which mean that the Devices are getting smarter. "Not only does the IIoT enable real-time monitoring on smartphones and via emails, but, in plants, everyone has LCDs (liquid-crystal displays), TV screens and marquees showing the production staff useful information," says Kumar. "The technology in the modern HMI, including drivers and connectivity, is moving to message displays and marquees. This will enable programming and monitoring in these smart displays. Technology is pushing PLC and HMI functionality to text displays and it will all be connected to the IIoT."[4] The characteristics of high-technology industries include steady order quantities, standardized product features and high product value [3].
Redefining Office Communication: Technology and Socio-Demographic Convergence...Felicia Woo
Frost & Sullivan recently collaborated with Ricoh Group to
develop a white paper, “Redefining Office
Communication”, to further demonstrate the implications
of three key global megatrends – demographic shift,
flexible workstyle and technological transformation.
This white paper is intended to serve as a reference point for business leaders and decision makers around the world to
guide them towards adopting the latest office communication technologies applicable for their relevant industries.
Rather than being a physical place where a person works all the time, Frost & Sullivan envisions the futuristic
office to be more of a meeting area where people go to generate fresh ideas, create new action plans or
make important decisions – leading to a boundary-less workplace.
Marketing industry leader and author Jon Wuebben reveals the future of the marketing practice in his new book, Future Marketing: Winning in the Prosumer Age. Jon is the Founder & CEO of Content Launch, a content marketing platform.
Artificial Intelligence Can Now Copy Your Voice: What Does That Mean For Humans?Bernard Marr
Artificial intelligence (AI) is a powerful tool. It has become so sophisticated that it can create artificial voices that sound like real voices. It is being used in many ways today to create audio for products, digital assistants and more. It now requires just seconds of real audio to train to make the reality of misuse very real.
Technology trend awareness as a skill refers to being mindful of the technology that is recently becoming popular and is readily accepted in the market or industry.
The 5 Biggest Technology Trends In 2022Bernard Marr
This article outlines the five biggest tech trends that will define 2022. I touch on artificial intelligence, our increasingly smart devices, the 'as a service' revolution, the datafication of our world, the need for more transparency and more accountability, as well as sustainability.
Industry 4.0 or the fourth industrial revolution, which has been introduced by German government in 2012 [1], which is depends on the integration of different categories of electrical and electronic devices, from personal computers, smartphones, smartwatches, machinery robotics and enterprise resource planning systems, which can be integrated together and communicated with others to analyse the optimal criteria of potential solutions for improving productivity via internet [2]. however, the requirements of the new technology will force the old technology to retired. which will will force the big companies to change the specification of the industrial components to keep up with the latest processors. Ultimately, the goal of Industry 4.0 is to produce smarter and resource-efficient factories which are more productive and competitive says Mika Lomax [3]. Which mean that the Devices are getting smarter. "Not only does the IIoT enable real-time monitoring on smartphones and via emails, but, in plants, everyone has LCDs (liquid-crystal displays), TV screens and marquees showing the production staff useful information," says Kumar. "The technology in the modern HMI, including drivers and connectivity, is moving to message displays and marquees. This will enable programming and monitoring in these smart displays. Technology is pushing PLC and HMI functionality to text displays and it will all be connected to the IIoT."[4] The characteristics of high-technology industries include steady order quantities, standardized product features and high product value [3].
Redefining Office Communication: Technology and Socio-Demographic Convergence...Felicia Woo
Frost & Sullivan recently collaborated with Ricoh Group to
develop a white paper, “Redefining Office
Communication”, to further demonstrate the implications
of three key global megatrends – demographic shift,
flexible workstyle and technological transformation.
This white paper is intended to serve as a reference point for business leaders and decision makers around the world to
guide them towards adopting the latest office communication technologies applicable for their relevant industries.
Rather than being a physical place where a person works all the time, Frost & Sullivan envisions the futuristic
office to be more of a meeting area where people go to generate fresh ideas, create new action plans or
make important decisions – leading to a boundary-less workplace.
Marketing industry leader and author Jon Wuebben reveals the future of the marketing practice in his new book, Future Marketing: Winning in the Prosumer Age. Jon is the Founder & CEO of Content Launch, a content marketing platform.
Artificial Intelligence Can Now Copy Your Voice: What Does That Mean For Humans?Bernard Marr
Artificial intelligence (AI) is a powerful tool. It has become so sophisticated that it can create artificial voices that sound like real voices. It is being used in many ways today to create audio for products, digital assistants and more. It now requires just seconds of real audio to train to make the reality of misuse very real.
How Mining Companies Are Using AI, Machine Learning And Robots To Get Ready...Bernard Marr
Rio Tinto and other large mining companies are using machine learning, autonomous vehicles and intelligent operations to pave the way for the 4th industrial revolution. Mining impacts nearly every industry because they provide raw materials that are used for other products. The more efficient and productive these mining companies are, the more profitable they become.
The 5 Biggest Data Science Trends In 2022Bernard Marr
Data has become one of today's most important business assets, and data science enables us to turn this data into value. In the field, we see fast evolutions and new advances, especially in artificial intelligence and machine learning. Here, we look at the five biggest data science trends for 2022.
Can Machines And Artificial Intelligence Be Creative?Bernard Marr
While artificial intelligence can be creative, what's most compelling is the creative output when humans and machines collaborate, whether that's in art, music, dance, design, recipes, or publishing. Here we look at the way AI is a tool to augment human creativity rather than a replacement.
The 5 Biggest Mistakes Companies Make With ChatbotsBernard Marr
We are now used to talking to machines, and the latest chatbots are impressively human-like. However, when companies deploy natural language processing, they should be aware of these five mistakes.
The Amazing Ways Chinese Face Recognition Company Megvii (Face++) Uses Artifi...Bernard Marr
Megvii, a Chinese company at the forefront of facial recognition technology, is expanding its influence to areas outside of China. It’s also going beyond its signature product Face++ to impact the world’s supply chain. Learn more of the amazing ways Megvii uses artificial intelligence and machine vision and where you might see it applied.
Why Should Businesses Adopt Industry 4.0 Technologies?Bernard Marr
Businesses should adopt Industry 4.0 technologies, because this transformative era is already here, not some concept for the future. Smart machines and interconnected devices are already working to provide many benefits to the businesses that have adopted the technologies. Those businesses that don’t may not survive.
The Top 5 Consumer Technology Trends From CES 2021Bernard Marr
CES is the world’s largest tech show focusing on customer electronics. It’s where many of the world’s biggest brands reveal their latest technological innovation and gadgets. Here is an overview of the key ones for 2021.
The Top 10 Tech Trends In 2022 Everyone Must Be Ready For NowBernard Marr
What are the biggest technology trends emerging in 2020, and why are they so important? Check out this list to get my predictions for the top ten tech trends of this year.
These 25 Technology Trends Will Define The Next Decade Bernard Marr
We have never lived in a time of faster and more transformative technology innovation. Here, we look at the 25 technology trends that will define the next decade and the 4th industrial revolution.
How can artificial intelligence be used in e learning GlobalTechCouncil
Artificial Intelligence allows for machines to learn from past experience, adjust to present inputs and perform human-like tasks, with utmost perfection. Research estimates that the artificial intelligence market will grow to a $190 billion industry by 2025. And by 2021, uses of artificial intelligence in education industry will grow by 47.5%.
5 Major Robotics Trends To Watch For in 2019Bernard Marr
We are increasingly seeing robots becoming part of our everyday lives. Robots are no longer confined to factories but are now entering our homes and offices. Here I look at the five most significant robotics trends everyone should watch out for in 2019.
Augmented and Virtual Reality in Social MediaBernard Marr
Immersive social media experiences are already a huge part of social media users' lives – and social media VR is expanding rapidly. Here are some ways social platforms are using VR and AR technology to connect users and create engaging experiences.
Society and Education in the World of 2040Ben Kahn
This is an essay I wrote for my final project in LIB-686 - Emerging Information Technology in the MSEd Information Technology program at Western Oregon University. The paper imagines how the world might look in the wake of advanced AI, IoT and AR/VR technology.
The Five Biggest Tech Trends Transforming Government In 2022Bernard Marr
The digital transformation of governments and public authorities has been accelerated during the global pandemic. Here we look at the key technology trends, including digital identity management, automation of public services using artificial intelligence, the increasing importance of cyber security as well as the role of national cryptocurrencies.
Robot-Powered Pizza, Anyone? How Automation Is Transforming The Fast-Food Ind...Bernard Marr
Automation and robotics are changing the way many companies do business, and now it's changing up restaurants. Pizza companies are some of the first to really embrace automation in the food industry as they pursue ways robots can help with prep, ordering, serving and delivering to maximize efficiency, cut costs and improve service.
How Mining Companies Are Using AI, Machine Learning And Robots To Get Ready...Bernard Marr
Rio Tinto and other large mining companies are using machine learning, autonomous vehicles and intelligent operations to pave the way for the 4th industrial revolution. Mining impacts nearly every industry because they provide raw materials that are used for other products. The more efficient and productive these mining companies are, the more profitable they become.
The 5 Biggest Data Science Trends In 2022Bernard Marr
Data has become one of today's most important business assets, and data science enables us to turn this data into value. In the field, we see fast evolutions and new advances, especially in artificial intelligence and machine learning. Here, we look at the five biggest data science trends for 2022.
Can Machines And Artificial Intelligence Be Creative?Bernard Marr
While artificial intelligence can be creative, what's most compelling is the creative output when humans and machines collaborate, whether that's in art, music, dance, design, recipes, or publishing. Here we look at the way AI is a tool to augment human creativity rather than a replacement.
The 5 Biggest Mistakes Companies Make With ChatbotsBernard Marr
We are now used to talking to machines, and the latest chatbots are impressively human-like. However, when companies deploy natural language processing, they should be aware of these five mistakes.
The Amazing Ways Chinese Face Recognition Company Megvii (Face++) Uses Artifi...Bernard Marr
Megvii, a Chinese company at the forefront of facial recognition technology, is expanding its influence to areas outside of China. It’s also going beyond its signature product Face++ to impact the world’s supply chain. Learn more of the amazing ways Megvii uses artificial intelligence and machine vision and where you might see it applied.
Why Should Businesses Adopt Industry 4.0 Technologies?Bernard Marr
Businesses should adopt Industry 4.0 technologies, because this transformative era is already here, not some concept for the future. Smart machines and interconnected devices are already working to provide many benefits to the businesses that have adopted the technologies. Those businesses that don’t may not survive.
The Top 5 Consumer Technology Trends From CES 2021Bernard Marr
CES is the world’s largest tech show focusing on customer electronics. It’s where many of the world’s biggest brands reveal their latest technological innovation and gadgets. Here is an overview of the key ones for 2021.
The Top 10 Tech Trends In 2022 Everyone Must Be Ready For NowBernard Marr
What are the biggest technology trends emerging in 2020, and why are they so important? Check out this list to get my predictions for the top ten tech trends of this year.
These 25 Technology Trends Will Define The Next Decade Bernard Marr
We have never lived in a time of faster and more transformative technology innovation. Here, we look at the 25 technology trends that will define the next decade and the 4th industrial revolution.
How can artificial intelligence be used in e learning GlobalTechCouncil
Artificial Intelligence allows for machines to learn from past experience, adjust to present inputs and perform human-like tasks, with utmost perfection. Research estimates that the artificial intelligence market will grow to a $190 billion industry by 2025. And by 2021, uses of artificial intelligence in education industry will grow by 47.5%.
5 Major Robotics Trends To Watch For in 2019Bernard Marr
We are increasingly seeing robots becoming part of our everyday lives. Robots are no longer confined to factories but are now entering our homes and offices. Here I look at the five most significant robotics trends everyone should watch out for in 2019.
Augmented and Virtual Reality in Social MediaBernard Marr
Immersive social media experiences are already a huge part of social media users' lives – and social media VR is expanding rapidly. Here are some ways social platforms are using VR and AR technology to connect users and create engaging experiences.
Society and Education in the World of 2040Ben Kahn
This is an essay I wrote for my final project in LIB-686 - Emerging Information Technology in the MSEd Information Technology program at Western Oregon University. The paper imagines how the world might look in the wake of advanced AI, IoT and AR/VR technology.
The Five Biggest Tech Trends Transforming Government In 2022Bernard Marr
The digital transformation of governments and public authorities has been accelerated during the global pandemic. Here we look at the key technology trends, including digital identity management, automation of public services using artificial intelligence, the increasing importance of cyber security as well as the role of national cryptocurrencies.
Robot-Powered Pizza, Anyone? How Automation Is Transforming The Fast-Food Ind...Bernard Marr
Automation and robotics are changing the way many companies do business, and now it's changing up restaurants. Pizza companies are some of the first to really embrace automation in the food industry as they pursue ways robots can help with prep, ordering, serving and delivering to maximize efficiency, cut costs and improve service.
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
Is Dirty Data Clogging your Marketing Engine? Do what high performance companies do; implement a data management program with InsideView. The sooner you do, the lower the cost.
World Wide Web has completely changed the dynamics and conventional meaning of operating and managing a business. It has opened new avenues through seamless interaction between consumers and business houses. In the process it has flooded
The World Wide Web with unimaginable volumes of data, for instance according to an estimate the average volume of data created in a single day is easily around 2.5 quintillion bytes.
Big data refers to the vast amount of structured and unstructured data that inundates organizations on a daily basis. This data comes from various sources such as social media, sensors, digital transactions, mobile devices, and more.
Data sciences is the topnotch in our world now as it enables us to predict the future and behaviors of people and systems alike.
Hence, this course focuses on introducing the processing involved in data sciences.
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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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
2. WELCOME TO BIG DATA
Introduction
2017 has been a great year for big data, the silent companion in our lives, it seems that we are losing the fear of something
starting with BIG already scares.
The big data is going to be used not only by the big players, to be present and to be a fundamental axis in the strategies of
any company. Starting, at last, to democratize the use of data as we say.
We have seen the birth of many companies that for sure are going to change the way we see and do things, giving us the
transparency and visibility the market needs.
GRPD is a hot topic nowadays, does not come to change things comes but to regulate them and that each of us know in
what position we are in each moment and take the necessary responsibilities so that the user is more informed and
therefore more protected.
3. R E P O R T
A U T U M N / W I N T E R 1 6
O N L I N E S T O R E . C O M
A U T U M N / W I N T E R 1 6
I N D E X
Introduction
What is big data?
The expanding digital universe
The future is now
Where do we get the data?
Method of collection
Data structure
Where is all that data stored?
Data Warehouse VS Data Lake
How does the data arrive to the DMP?
Data management platform
The 7 VS of Big Data
Lack of profesional data profiles
New Profesional Profiles
Data transparency
GDPR
4. What is
big data?
Big data is a term that describes the
large volume of data that inundates
a business.
But it’s not the amount of data
that’s important, It’s what
organizations do with the data that
matters. Big data can be analyzed
for insights that lead to better
decisions and strategic business
moves.
Source: Verve systems
Source: sas.com
5. THEEXPANDINGDIGITA
UNIVERSE
The digital universe has been rising exponentially since 2013. It is estimated that, by
2020 the size of digital and data universe, will reach a long size unimaginable a few
years ago.
Source: @Tiffani Bova
6. THE
FUTURE
IS NOW
Big Data in Europe
6 million people in Europe worked in data-related jobs in 2015 and 6.16 million in
2016. As far as medium-term developments are concerned, it is estimated
that under a high-growth scenario, the number of data workers in Europe will
increase up to 10.43 million, with a compound average growth rate of 14.1% by
2020.
7. THE
FUTURE
IS NOW
Source: IDC, Big Data Market Forecast,
Big Data in Spain
Big data market in Spain has grown exponentially over the past
few years, and 2019 is expected to reach $313.7 M
Big Data market forecast in Spain
8. Using big data, organizations can
generate actionable insights that
enable them to drive their business
forward. Rapid integration of the
ever-expanding pool of data sources
and types opening a whole new
world of possibilities.
Wheredoweget
thedata?
Source: nextgov.com
Source: columnfivemedia.com
9. #01 #02
S E C O N D P A R T Y
D A T A
F I R S T P A R T Y
D A T A
Browser and serverside cookies set and recorded on
visitors to web and app properties
Cross-device Ids
Device model, operating system, connection type,
mobile network
Personally Identifiable Information (PII) like name,
email, phone, postal address
Behavioural information such as who bought what
and how often
It is first party data made available for use by
another organisation, shared with transparency.
The organisation using the data knows where it
came from, how it was collected, and what it
signifies. The data sources are identical to those
given above.
Data ingestion from multiple on and off-line sources
Data storage
Data mapping
Customer profiling
Cross-device identity graphing
Activation in media buying platforms
Marketplaces for sharing and monetising data sets
Analytics
#03
T H I R D P A R T Y
D A T A
Method of collection
DATA COLLECTED DIRECTLY BY THE
ORGANIZATION
DATA SHARED BY A TRUSTED
SOURCE
AGGREGATED DATA FROM OTHER
SOURCES
Source: :xelsionmedia.com
10. B I J O U M E D I A M A R K E T I N G P R O P O S A L
D a t a s t r u c t u r e
Unstructured: Data that does not
reside in fixed locations generally
refers to free-form text, which is
ubiquitous.
Semi-structured : Between the two
forms where “tags” or “structure”
are associated or embedded within
unstructured data.
Structured: Data that resides in fixed
fields within a record or file.
Source: medium.com
THE
CHALLENGE IS
TO STRUCTURE
ALL THAT DATA
Source: :sherpasoftware.com
11. DATA WAREHOUSE (DWH)
Where is all that data stored?
A data warehouse is a large store of
data accumulated from a varied
range of sources within an
organization. It is used to guide
management decisions.
ETL is normally a continuous, ongoing
process with a well-defined workflow.
It extracts data from homogeneous
or heterogeneous data sources.
Then, data is cleansed, enriched,
transformed, and stored either back
in the lake or in a data warehouse.
Source: Xplenty
12. DATA LAKE
A data lake is a storage repository or
a storage bank that holds a huge
amount of raw data in its original
format until it’s needed.
ELT (Extract, Load, Transform) is a
variant of ETL wherein the extracted
data is first loaded into the target
system. Transformations are
performed after the data is loaded
into the data warehouse. ELT
typically works well when the target
system is powerful enough to handle
transformations.
Source: Xplenty
Where is all that data stored?
13. Data Warehouse Data LakeVS
DATA
PROCESSING
STORAGE
AGILITY
SECURITY
USERS
Structured, processed
Structured, semi-structured,
unstructured, raw
Schema-on-write Schema-on-write
Expensive for large data volumes
Designed for low-cost
storage
Less agile fixed configuration
Highly agile, configure &
reconfigure as needed
Mature Maturing
Business professionals Data scientists
Source: datamation.com
14. H o w d o e s t h e d a t a
a r r i v e s t o t h e D M P ?
DATA
LAKE
DATA
WAREHOUSE
Capture
Curate
Aggregate
Data
Build
Customer
profiles
Engage
customers
Activate
DMP
DSP
Source: prnewswire.com
16. THE 7 Vs OF BIG DATA
14%
14%
14%
14%
14%
14%
14%
Velocity
Variety
Veracity
Visualisation
Viability
Volume
Value
17. 1 . V O L U M E
Amount of data that is generated
in our environment
THE 7 Vs OF BIG DATA
Source: Medium
18. 2 . V E L O C I T Y
The speed in which data is
accessible
THE 7 Vs OF BIG DATA
19. 3 . V A R I E T Y
Forms, types and sources
from which data are
recorded
THE 7 Vs OF BIG DATA
Source:Medium
20. 4 . V E R A C I T Y
Is all about making sure
the data is accurate
THE 7 Vs OF BIG DATA
Source:Medium
21. 5 . V I A B I L I T Y
The capacity of companies
to generate an effective
use of the large volume of
data that handle.
THE 7 Vs OF BIG DATA
Source:Medium
22. 6 . V I S U A L I Z A T I O N
Importance of the visual
representation,
understandable of data in
a pictorial or graphical
format.
THE 7 Vs OF BIG DATA
Source: Mtkander
23. 7 . V A L U E
Be sure that your organization is getting
value from the data
THE 7 Vs OF BIG DATA
Getting Business Value from Big Data
#01 #02 #03 #04
Estimate Analyze Integrate Discover
Estimate expediture &
hardware investment
Analyze streaming
Big Data
Integrate Big Data
with older enterprise
sources
Discover new
business
opportunities
Big Data is the ability to achieve greater value
through insights from superior analytics
Source: Medium
25. New Professional Profiles
DATA SCIENTIST DATA ANALYSTDATA ARCHITECT
Cleans, massages and organizes
(big) data
Collects, processes and performs
statistical data analysis
Creates blueprints for data management
systems to integrate, centralyze, protect
and maintain data sources
DATA ENGINEER
Develop, constructs, tests and maintains
architectures (such databases and large-
scale processing systems)
STATISCIAN DATABASE ADMINISTRATOR
Collects, analyzes and interprets-qualitative
as well as quantitative data with statistical
theories and methods
Ensures that the database is available
to all relevant users, is performing
properly and is being kept safe
Source: Pinterest.com
26. DATA TRANSPARENCY AND VISIBILITY
Source: businessinsider.com
Transparencyisakeyelementwhenpurchasingdata.Advertisersneed
toknowthesourcewherethedataiscomingfromanddatasuppliers
shouldalwaysprovidethisinformation.
The85%oftheexpertsinmarketingandbusinessthinkthatitisnecessary
toincreasethevisibilityofthedatausedtodefineaudiences,tobeableto
takereallyadvantageofallthatdata.
27. Source: powerdata.es
DATA QUALITY
It refers to the quality of a set of information collected in a database, an information system or a data
warehouse with attributes like: accuracy, integrity, updating, coherence, relevance, accessibility and reliability
necessary to be useful to the processing, analysis, and any other purpose that a user you want to give.
28. The GDPR has been born of a need to
regulate the flow of data and protect
it, developing clear policies and
procedures to protect personal data,
and adopt appropriate technical and
organisational measures