The objective of this module is to gain an overview how you can use the data you already have available to improve your business.
Upon completion of this module you will:
- Learn the tips of how take advantage of the existing data you already have
- Be able to locate where internal data already lies within your company
- See how data can help you to build your brand
Data set Improve your business with your own business dataData-Set
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
-Gain an understanding of how to take advantage of the existing data you already have
-Comprehend the location of where internal data already lies within your company
-Improve your knowledge on how data can help build your brand
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
Gain an understanding of how to take advantage of the existing data you already have
Comprehend the location of where internal data already lies within your company
Improve your knowledge on how data can help build your brand
Consumer analytics is the process businesses adopt to capture and analyze customer data to make better business decisions via predictive analytics. It is a method of turning data into deep insights to predict customer behavior. It may also be regarded as the process by which data can be turned into predictive insights to develop new products, new ways to package existing products, acquire new customers, retain old customers, and enhance customer loyalty. It helps businesses break big problems into manageable answers. This paper is a primer on consumer analytics. Matthew N. O. Sadiku | Sunday S. Adekunte | Sarhan M. Musa "Consumer Analytics: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33511.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/33511/consumer-analytics-a-primer/matthew-n-o-sadiku
Acquire Grow & Retain customers - The business imperative for Big DataIBM Software India
The emergence of Big Data and Analytics has changed the way marketing decisions are made. Marketing has moved away from traditional ‘generalisation’ practices such as customer segmentation, geographical targeting etc. and is focussing more on the individual – the ‘Chief Executive Customer’.
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Data set Improve your business with your own business dataData-Set
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
-Gain an understanding of how to take advantage of the existing data you already have
-Comprehend the location of where internal data already lies within your company
-Improve your knowledge on how data can help build your brand
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
Gain an understanding of how to take advantage of the existing data you already have
Comprehend the location of where internal data already lies within your company
Improve your knowledge on how data can help build your brand
Consumer analytics is the process businesses adopt to capture and analyze customer data to make better business decisions via predictive analytics. It is a method of turning data into deep insights to predict customer behavior. It may also be regarded as the process by which data can be turned into predictive insights to develop new products, new ways to package existing products, acquire new customers, retain old customers, and enhance customer loyalty. It helps businesses break big problems into manageable answers. This paper is a primer on consumer analytics. Matthew N. O. Sadiku | Sunday S. Adekunte | Sarhan M. Musa "Consumer Analytics: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33511.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/33511/consumer-analytics-a-primer/matthew-n-o-sadiku
Acquire Grow & Retain customers - The business imperative for Big DataIBM Software India
The emergence of Big Data and Analytics has changed the way marketing decisions are made. Marketing has moved away from traditional ‘generalisation’ practices such as customer segmentation, geographical targeting etc. and is focussing more on the individual – the ‘Chief Executive Customer’.
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Big Data and Marketing: Data Activation and ManagementConor Duke
Data Management and Activation
Crevan O’Malley – Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channel—helping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening I’ll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
Database Marketing, part two: data enhancement, analytics, and attribution Relevate
Part 2 of our 3-part series on database marketing where we will give you the roadmap you’ll need to successfully manage your marketing database for increased marketing success.
The webinar is presented by industry experts Andy Pappas, VP, Database Marketing & Analytics, and Tom Guernon, Director Sales.
You'll Learn:
-Data Enhancement: How external data and hygiene best practices can impact your programs
-How to employ Smart profiling for the best in audience selection for solicitation efforts
-Predictive Analytics including modeling and performance indicators to rank who is most likely to respond to your offers
-Campaign Attribution & Reporting: Common reporting functions and how to set these up to measure your campaign success
Database marketing, part 3 Blending Silos, Marketing Automation, Best PracticesRelevate
Part 3 covers:
Silos: Discussion on silos and how to integrate them for a more integrated approach to communication.
Program Automation: best practices and examples for automated programs and process.
Tie it all together with a real life example. Discuss helpful tips for marketing success going forward.
A recap of the main things you need to take away from this series on database marketing.
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
Data has the potential to be your most valuable marketing resource. With the right data in hand, you can create scalable, repeatable marketing processes. Learn the essentials of data-driven marketing here.
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...ijdmtaiir
The goal of this work is to allow a corporation to
improve its marketing, sales, and customer support operations
through a better understanding of its customers. Keep in mind,
however, that the data mining techniques and tools described
here are equally applicable in fields ranging from law
enforcement to radio astronomy, medicine, and industrial
process control. Businesses in today’s environment
increasingly focus on gaining competitive advantages.
Organizations have recognized that the effective use of data is
the key element in the next generation is to predict the sales
value and emerging trend of technology market. Data is
becoming an important resource for the companies to analyze
existing sales value with current technology trends and this
will be more useful for the companies to identify future sales
value. There a variety of data analysis and modeling techniques
to discover patterns and relationships in data that are used to
understand what your customers want and predict what they
will do. The main focus of this is to help companies to select
the right prospects on whom to focus, offer the right additional
products to company’s existing customers and identify good
customers who may be about to leave. This results in improved
revenue because of a greatly improved ability to respond to
each individual contact in the best way and reduced costs due
to properly allocated resources. Keywords: sales, customer,
technology, profit.
Adweek 2019 Data-Driven Marketing at the CrossroadsMark Osborne
Survey of over 300 Marketing Leaders for trends and insights on data-driven marketing, includes trends in technology investment, challenges to implementation of data-driven marketing strategies, prioritization of objectives, challenges with improving the customer experience, impacts of privacy and compliance and forward looking predictions
How Artificial Intelligence is Impacting Marketing Today and How Smart Market...Mark Osborne
Overview of Artificial Intelligence AI and Machine Learning technologies that are impacting marketing today, and how marketers can plan their career and build the relevant computer science / engineering / statistics / and data-driven decision-making skills to excel in the future. Covers relevant algorithms, and marketing strategies like segmentation, targeting, and positioning, and how marketers can prepare
Big Data and Marketing: Data Activation and ManagementConor Duke
Data Management and Activation
Crevan O’Malley – Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channel—helping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening I’ll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
Database Marketing, part two: data enhancement, analytics, and attribution Relevate
Part 2 of our 3-part series on database marketing where we will give you the roadmap you’ll need to successfully manage your marketing database for increased marketing success.
The webinar is presented by industry experts Andy Pappas, VP, Database Marketing & Analytics, and Tom Guernon, Director Sales.
You'll Learn:
-Data Enhancement: How external data and hygiene best practices can impact your programs
-How to employ Smart profiling for the best in audience selection for solicitation efforts
-Predictive Analytics including modeling and performance indicators to rank who is most likely to respond to your offers
-Campaign Attribution & Reporting: Common reporting functions and how to set these up to measure your campaign success
Database marketing, part 3 Blending Silos, Marketing Automation, Best PracticesRelevate
Part 3 covers:
Silos: Discussion on silos and how to integrate them for a more integrated approach to communication.
Program Automation: best practices and examples for automated programs and process.
Tie it all together with a real life example. Discuss helpful tips for marketing success going forward.
A recap of the main things you need to take away from this series on database marketing.
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
Data has the potential to be your most valuable marketing resource. With the right data in hand, you can create scalable, repeatable marketing processes. Learn the essentials of data-driven marketing here.
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...ijdmtaiir
The goal of this work is to allow a corporation to
improve its marketing, sales, and customer support operations
through a better understanding of its customers. Keep in mind,
however, that the data mining techniques and tools described
here are equally applicable in fields ranging from law
enforcement to radio astronomy, medicine, and industrial
process control. Businesses in today’s environment
increasingly focus on gaining competitive advantages.
Organizations have recognized that the effective use of data is
the key element in the next generation is to predict the sales
value and emerging trend of technology market. Data is
becoming an important resource for the companies to analyze
existing sales value with current technology trends and this
will be more useful for the companies to identify future sales
value. There a variety of data analysis and modeling techniques
to discover patterns and relationships in data that are used to
understand what your customers want and predict what they
will do. The main focus of this is to help companies to select
the right prospects on whom to focus, offer the right additional
products to company’s existing customers and identify good
customers who may be about to leave. This results in improved
revenue because of a greatly improved ability to respond to
each individual contact in the best way and reduced costs due
to properly allocated resources. Keywords: sales, customer,
technology, profit.
Adweek 2019 Data-Driven Marketing at the CrossroadsMark Osborne
Survey of over 300 Marketing Leaders for trends and insights on data-driven marketing, includes trends in technology investment, challenges to implementation of data-driven marketing strategies, prioritization of objectives, challenges with improving the customer experience, impacts of privacy and compliance and forward looking predictions
How Artificial Intelligence is Impacting Marketing Today and How Smart Market...Mark Osborne
Overview of Artificial Intelligence AI and Machine Learning technologies that are impacting marketing today, and how marketers can plan their career and build the relevant computer science / engineering / statistics / and data-driven decision-making skills to excel in the future. Covers relevant algorithms, and marketing strategies like segmentation, targeting, and positioning, and how marketers can prepare
Age Friendly Economy - Improving your business with external dataAgeFriendlyEconomy
The objective of this module is to gain an overview how you can use the data available outside of your company to improve your business.
Upon completion of this module you will:
- Learn the basics of external data and where to find it
- Be able to recognize there is a lot of Open Data already out there for you to use – especially about Older People
- See the benefits of using the external data in order to improve your business
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Data can be your key strategic asset for long-term growth. Just as the "quantified self" builds awareness of progress toward health, your comprehensive data strategy can help you lead your industry.
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
PresentationThe capability of enormous information - or the new .pdfaradhana9856
Presentation
The capability of enormous information - or \"the new oil,\" as a few CIOs and industry
specialists have named it - appears as perpetual as it is subtle. Huge information battles are in
their early stages, with endeavors of all stripes making sense of how to utilize new, old,
unstructured and outer information to make a focused procedure.
Despite the fact that the standard procedures for get-together information and investigating its
value are as yet coming to fruition, organizations know they have to get in the diversion. They
are gathering and mining information on clients, workers, market flow, the climate, and so on,
with instruments going from conventional business insight (BI) frameworks to more trial ones,
for example, geospatial and constant versatile following innovations, online networking
investigation and NoSQL databases.
SearchCIO isn\'t remaining on the sidelines, either. Our Essential Guide on enormous
information incorporates a preliminary for beginning with information social affair and
investigation, true contextual investigations from the CIO and business viewpoints, tips on the
best way to beat hindrances experienced by the huge information pioneers, and expectations on
the following huge information boondocks and what it implies for aggressive methodology.
This aide on the development of huge information is a piece of SearchCIO\'s CIO Briefings
arrangement, which is intended to give IT pioneers vital administration and basic leadership
guidance on opportune themes.
The most effective method to Collect Big Data ?
1 year agoby Ayush1 Comment
The most effective method to Collect Big Data ? : Yes we knoe you would have various inquiries
in your psyche like Collection of Big Data, How organizations gather Big Data, how to gather
information for quantitative research so don\'t stress, in the event that you are here to scan for
these inquiries here then you are on the right website page as here we are going to give you a
complete article on Collection of Big Data techniques quickly.
Astounding Facts about Rise of Big Data Collectection
Consistently buyers make around 11.5 million installments by utilizing Paypal
Consistently, Walmart (chain of rebate retail chains) handles more than 1 million client
exchanges
510 remarks, 293000 status and 136000 overhauls are posted on Facebook consistently
Consistently, ~7000 tweets are made on Twitter
Simply picture the measure of information created if the above details are figured for 24 hours?
Whoa! That is huge.
The term \'Enormous Data\' is ordinarily connected with 4V\'s to be specific, Velocity, Volume,
Variety, Veracity. These 4V\'s appropriately speaks to the genuine way of Big Data. Each \"V\"
has a noteworthy part to play in the presence of Big Data. On the off chance that consolidated,
these 4V paints a wonderful clarification of Big Data which can be comprehended as \" Big Data
as an idea alludes to high speed gathering of information in expansive volumes which radia.
Is Your Company Braced Up for handling Big Datahimanshu13jun
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Instructions for Submissions thorugh G- Classroom.pptx
Age Friendly Economy - Improving your business with data
1. This programme has been funded with
support from the European Commission
Module 2:
Improving
current
business with
own data
2. Module 2:
Improving
current
business
with own
data
The objective of this module is to gain an overview how
you can use the data you already have available to
improve your business.
Upon completion of this module you will:
- Learn the tips of how take advantage of the existing
data you already have
- Be able to locate where internal data already lies
within your company
- See how data can help you to build your brand
Duration of the module: approximately 1 – 2 hours
This programme has been funded with support from the
European Commission. The author is solely responsible for
this publication (communication) and the Commission
accepts no responsibility for any use that may be made of
the information contained therein.
3. – Why is Smart Data smarter?
– How to turn your Data into Competitve
Advantage?
Advantages of Smart Data
– Sources of Data
– Sources of Internal Data
Introduction
– How can Data help you build your Business
– The Benefits of using Internal Data in
Marketing
Using Data to build your Brand
1
2
3
This programme has been funded with support from the European Commission. The author
is solely responsible for this publication (communication) and the Commission accepts no
responsibility for any use that may be made of the information contained therein.
4. ADVANTAGES OF SMART DATA
AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
1. Why is Smart Data smarter?
2. How to turn your Data into
Competitive Advantage?
5. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
It's not important how much data you
have, it's about how well you use it.
Smart Data is a solution that changes the
game of marketing, and how we deliver
better solutions for customers from this
point forward.
6. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
• what data to collect, validate and transform
• how data is stored, managed, operated and used
• taking actions based on results of data analysis including
organisation structures, roles, devolution and delegation of
decision-making, processes and automation
• being realistic, pragmatic and even sceptical about what can be
achieved and knowing what value can be derived and how to
maximise value obtained
• defining achievable, benefits-lead strategy integrated with the
needs business and in its implementation
• selecting the channels and interactions to include smart data use
cases
More focussed investment in achieving better
business and organisation results
Greater confidence by the business and organisation
in justifying and approving investment and resource
allocation
Quick delivery of results
WHY IS SMART DATA SMART?
SMART DATA MEANS BEING SMART WITH REGARDS TO...
8. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
Big Data is a project, not a tool!
Ask the right questions
Start with internal data
Enrich and cross-reference existing data
Enrich the models with external data
Involve business experts
Do not presume what the outcome will be
Remain agnostic
1
2
3
4
5
6
7
8
The real challenge of Data is
not technological: it is
"business". It will necessarily
involve human expertise to
enrich the data and get it to
"speak". When turning big into
smart, be aware of next tips!
HOW TO TURN
YOUR DATA
INTO COMPETITIVE
ADVANTAGE
9. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
1. Sources of Data
– Internal
• Sources of Internal Data
– External
DATA COLLECTION
10. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
A lot of data is lying in the corners of many
companies or possibly not even currently
collected.
With a relatively small effort, that data could
be collected, analysed and put in use to
improve marketing and user experience.
Building new processes in a company always
requires investment.
11. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
SOURCES OF DATA
DATA
INTERNAL SOURCES EXTERNAL SOURCES
PRIMARY SOURCES
SECONDARY
SOURCES
12. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
INTERNAL DATA
Internal Data or Own Data is information created by the
operation of an organization that includes sales, purchase
orders, and transactions in inventory instead of the data
being created by an independent study or database.
Many businesses and departments have information about
their regular functions, for their own internal purpose. In
this way, internal data is the information that the business
already has on hand, has control of and currently owns,
including details contained within the company’s own
computer systems and cloud environments.
13. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
Sources of Internal Data
Before decision-makers and data scientists look for external sources, it’s critical to ensure that all of a business’s internal data
sources are mined, analysed and leveraged for the good of the company. While external data can offer a range of benefits, internal
data sources are typically easier to collect and can be more relevant for the company’s own purposes and insights.
There are a number of impactful, internal places that companies can look to mine data. These include:
TRANSACTIONAL
DATA AND POS
INFORMATION
CUSTOMER
RELATIONSHIP
MANGEMENT
SYSTEM
INTERNAL
DOCUMENTS
ARCHIVES
14. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
One of the most powerful sources of data resides within a firm’s financial and transactional
systems. Here, companies can mine both current and historical data relating to their own
business purchases, as well as information relating to the shopping trends of their
customers. From these details, an organization can glean important insights, including ways
to reduce their own spending and remain on budget, as well as crucial patterns pertaining
to their customers’ buying habits and shopping preferences.
TRANSACTIONAL
DATA AND POS
INFORMATION
15. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
In addition to their purchasing and shopping data, businesses can also mine data within
their own CRM systems. Information like clients’ company affiliations, locations and other
regional or geographical details can paint a detailed picture about where customers are
located. When combined with their transactional information, these CRM details become
even more powerful.
CUSTOMER
RELATIONSHIP
MANAGEMENET
SYSTEM
16. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
Especially now within the age of cloud computing, a company’s own internal documents are
becoming more valuable than ever. Digitized copies of internal forms can provide a robust
source of information, particularly when it comes to the business’s activities, policies and
processes. Emails, Word documents, PDF, XML and a range of other internal docs can be
mined for big data.
INTERNAL
DOCUMENTS
17. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
When it comes to internal information, businesses shouldn’t limit themselves to only the
most current information. Historical data can be very telling as well, which is why it is
recommended to look into the company’s archived documents and data streams as well.ARCHIVES
18. AGE FRIENDLY ECONOMY | FUTURE OPPORTUNITIES FOR SMES
EXTERNAL DATA
External data is information that is not currently owned
by the company, and can include unstructured, public
data as well as information gathered by other
organizations.
More about external data and how use it to benefit your
business you can read in Module 3: Improving your
business with external data.
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USING DATA TO
BUILD YOUR BRAND
1. How can Data help you build your
Business
2. The Benefits of using Internal Data in
Marketing
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HOW CAN DATA HELP
YOU BUILD YOUR
BUSINESS
While the average small business has less
self-generated data than big players like
Google or Facebook, this doesn’t mean big
data is off limits. In fact, in many ways, big
data is more suited to small businesses
because they’re generally more agile and
able to act more quickly on data-driven
insights. Let’s look at some of the ways small
businesses can make use of big data.
21. Understanding what makes your customers tick
Thanks to big data, small businesses can get a fuller picture of their customers – what makes
them tick, why they buy, how they prefer to shop, why they switch, what they’ll buy next, and
what factors lead them to recommend a company to others.
Companies can also better interact and engage with customers by analyzing customer
feedback in order to improve a product or service.
Social media has become a particularly valuable source of data, making activities such as
identifying niche markets and analyzing customer feedback much easier and cheaper. Twitter
– where almost all conversations are effectively held in public – is easier to mine than most
platforms.
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22. Identifying trends
Spotting and monitoring behaviors and patterns allows us to take a stab at
predicting where things are heading, how demand for our products or services
will change over time, and what will prompt that change. Until recently, trend
analysis and prediction often came down to ‘gut instinct’. Now, big data is
taking a lot of the guesswork out of that process.
Trending topics flash across Facebook and Twitter every day, making it easier
than ever before to work out what people want.
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23. Checking out the competition
In the past, understanding your competition was limited to industry gossip or
looking around rivals’ websites or shops. Some might go as far as pretending to
be customers in order to find out more about a competitor’s service or product.
These days though, you hardly need to leave your desk to find out what the
competition is up to; financial data is readily available, Google Trends can offer
insights on the popularity of a brand or product, and social media analysis can
illustrate popularity (i.e., how often a company is mentioned) and show what
customers are saying.
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24. Improving operations
Big data is also increasingly used to optimize business processes and everyday operations.
With any business process that generates data, you can use that data to make improvements
and generate efficiencies.
For manufacturing or industrial companies, machines, vehicles and tools can be made ‘smart’,
which means they can be connected, data-enabled, and constantly reporting their status to
each other. By analyzing this data, organizations can gain real-time visibility into their
operations and look for ways to increase efficiency.
Retail companies are able to optimize their stock keeping based on predictions generated
from social media data, web search trends, and weather forecasts. This allows stores to stock
up on the most popular items, ensuring they don’t miss out on sales and reducing the
amount of unwanted stock lying around.
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25. Recruiting and managing talent
Data can help you find the most successful candidates, identify the best recruitment
channels, and help to better engage existing employees.
Most businesses already generate a wealth of HR-related data: absenteeism figures,
productivity data, personal development reviews, and staff satisfaction data.
As well as this, companies can now access so much more data that wasn’t available before:
data from recruitment sites, information from sensors in ID badges, social media data, etc. All
this information can be analyzed to gain insights that were never available before.
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26. Tweaking your business model
Data can even become a part of your business model, leading to exciting new ways to
generate revenue.
Facebook, for example, is free to users but has historically generated income from
advertising.
Now the company is capitalizing on the huge amount of data it has on its users, by making
certain data available to businesses.
There are many opportunities now for small businesses to monetize the data they are
generating by providing value added services or selling data to customers or third parties.
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Unlike external data, which is available to
the public, internal data is exclusive to a
brand.
This is just one of the reasons why this data
is so perfect for brand storytelling. Content
based on original data attracts attention and
comes with several other benefits.
THE BENEFITS OF
USING INTERNAL DATA
IN MARKETING
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Rather than regurgitating what
the rest of your industry is saying
in their content, sharing your
company data allows you to
present something unique. By
opening the kimono and sharing
your internal data, you’re offering
something that can’t be found
anywhere else which is extremly
attractive to your consumers.
1 ORIGINALITY
EXAMPLE: SPOTIFY
Spotify, a streaming music service app, collects data all day every day. As
listeners select songs, playlists, and artists, the music app collects information
on the user’s musical choices as well as their location and demographics.
Spotify has unique access to listeners’ habits and traits; this allows it to create
original, unique content that isn’t available anywhere else. The company shares
the information and trends it uncovers in its data on the Spotify Insights blog.
It even created a
world “Musical
Map” that shows
the listening
habits and
preferences of
people in cities
around the world.
By tapping into its
resource of
internal data that
no other brand or
organization has
access to, Spotify
creates original
stories and
insights that can’t
be found
anywhere else.
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CONSUMER VALUE
Audiences enjoy educational
content that shows them
something they haven’t see
before. By using internal data,
you can create valuable content
that educates, introduces new
ideas, and/or provides support
for existing ideas.
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EXAMPLE:
With thousands upon thousands of job listings posted on its website,
Indeed.com can collect data on job trends across the world. Instead of
keeping this data to itself, Indeed shares the data on its Job Trends
page.
Of particular interest on The Job Trends page are age related jobs,
particularly jobs for older people! The company shares information on
these job’s number of postings over time. It also shares postings per
capita, job market competition across the country, and growth and
decline rates of major employment industries.
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CONSUMER TRUST
Customers crave transparency
because it helps them trust
brands. When you share
internal data and an inside look
at your business or operations,
it shows that your company
values openness. This lets your
customers know you have
nothing to hide, which builds
trust and lasting consumer-
brand relationships.
3
EXAMPLE: HUBSPOT
HubSpot is a company provides both software and educational
content to help older people. HubSpot uses content to build
trust. It shares free content marketing information through
dozens of ebooks, white papers, blog posts, and its
annual State of Inbound Report.
HubSpot shows customers why they should turn to it and trust its
products and knowledge when they have content marketing
needs.
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BRAND
RECOGNITION
In a content-filled world, getting
brand exposure is difficult. It’s
hard to stand out. But original,
internal data allows you to cut
through the noise and get your
brand in front of a larger
audience. Audiences are
introduced to your brand and left
with an impression that will allow
them to recognize and remember
your brand.
4
EXAMPLE: JIBO
Jibo is a social robot assistant for older people. The company states
that it builds “products and software platforms powered by data
science.” As its mission statement expresses, Jibo is a company rooted
in data.
The company uses data to improve its products, help its customers,
and spread awareness about its brand.
By using information that is exclusive to its database, Jibo can gain
brand exposure by sharing content that is relevant to a large audience.