Tealium-Gartner 100 Data and Analytics Predictions

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100 Data and

Analytics

Predictions for 2021

In this issue

Executive

Executive Summary Summary 22

Resear

Research from Garch from Gartner:tner:

100

100 Data Data and and Analytics Analytics Predictions Predictions Through Through 2021 2021 66

Final Thoughts

Data,

Data, Analytics Analytics and and Beyond Beyond 2323

About

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2 2

T

ealium

ealium Executive Sum

Executive Summar

mary

y

We’r

We’re entering the foure entering the fourth industrial revolution. After years in development, once-futuristic technologies areth industrial revolution. After years in development, once-futuristic technologies are

starting to have a real impact on customer experience – and data is proving to be the

starting to have a real impact on customer experience – and data is proving to be the catalyst for digitalcatalyst for digital

transformation.

In this new report,

In this new report, 100 Data and Analytics Predictions Through 2021100 Data and Analytics Predictions Through 2021,,Tealium has partnered with Gartner to roundTealium has partnered with Gartner to round

up the top data and analytics predictions to help professionals, such as CIOs and CDOs, enhance their strategic

programs and embrace digitalization

programs and embrace digitalization..

The predictions are the resu

The predictions are the result of lt of a yearlong studya yearlong study, in which Gartner analysts gathered hundreds of , in which Gartner analysts gathered hundreds of client andclient and

vendor interactions, primary and secondar

vendor interactions, primary and secondary research, and collaborated with analytical specialists acrossy research, and collaborated with analytical specialists across

research agendas.

research agendas.As such, they offer an in-depth view of the key themes running through the heart of digitalAs such, they offer an in-depth view of the key themes running through the heart of digital

transformation and issues we must address to ensure a

transformation and issues we must address to ensure a positive transitionpositive transition..

Source: Tealium

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Data as a key strategic advantage

and dri

ver of

business

decisions

As the digital revolution gains momentum, data

is taking its place as the core dri

is taking its place as the core driver of ver of businessbusiness

decisions. Consequently

decisions. Consequently, maintaining control of , maintaining control of data isdata is

crucial, including the way it’s collected, orchestrated,

enriched, and activ

enriched, and activated. And most important of ated. And most important of all:all:

data needs to be

data needs to be accessible, which means we mustaccessible, which means we must

develop the ability to centralize and connect

develop the ability to centralize and connect datadata

across silos.

Y

Yet the constant emergence of et the constant emergence of new data sourcesnew data sources

– fueled largely

– fueled largely by the proliferation of by the proliferation of Internet ofInternet of

Things (IoT) devices – is presenting new challenges.

While the data these devices produce is undeniably an

enabler of

enabler of digital progression, linking insight betweendigital progression, linking insight between

touchpoints is

touchpoints is increasingly difficult. What’s more,increasingly difficult. What’s more,

interconnectivity is changing consumer requirements;

users now move seamlessly between multiple

users now move seamlessly between multiple screensscreens

and they expect brands to do

and they expect brands to do the same.the same.

As a result, real-time data analytics capab

As a result, real-time data analytics capable ofle of

instantly assessing and utilizing consumer insight

is becoming vital. In fact, between 2016 and 2019,

spending on real-time analytics will grow three times

faster than spending on standard analytics and by

2020, 50% of

2020, 50% of organizations will reject sorganizations will reject solutions fromolutions from

new vendors that contractually inhibit their ability to

extract their own data.

However

However, the benefits of , the benefits of these analytical tools maythese analytical tools may

be limited by a lack of

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4 4

potential of

potential of real-time technologyreal-time technology, and consumer data., and consumer data.

And it seems that awareness of

And it seems that awareness of this need is alreadythis need is already

growing; by 2020, it’

growing; by 2020, it’s predicted 80% of s predicted 80% of organizationsorganizations

will initiate competency development to improve data

literacy. Although, they must also take care to keep

consumer needs front

consumer needs front and centerand center..

The importance of

The importance of identity resolution in drivingidentity resolution in driving

meaningful customer experiences

Given the high data volumes it produces, digital

transformation offers a significant opportunity to

improve the customer experience by making every

interaction perso

interaction personal. Moreovernal. Moreover, with research , with research showingshowing

almost 80% of

almost 80% of consumers have chosen or adconsumers have chosen or advocatedvocated

a brand that offered a personalized experience,

seizing this opportunity is arguably crucial to

business success.

To do so effectively, however, companies must take a

consumer-centric approach that not only sets them

apart, but also meets consumer perceptions of what

brand communications should be:

brand communications should be: namely relevant,namely relevant,

engaging, and seamless

engaging, and seamless. This means creating p. This means creating positiveositive

audience perception is dependent on first acquiring

audience perception is dependent on first acquiring anan

accurate picture of

accurate picture of individuals and then determiningindividuals and then determining

how insight can be best deployed to produce unified

customer experiences, and

customer experiences, and relevant marketing.relevant marketing.

Data analytics are increasingly aligning data

Data analytics are increasingly aligning data withwith

individual needs, and by 2020, it’

individual needs, and by 2020, it’s estimated 40% ofs estimated 40% of

it is becoming essential for customer communications

and advertising, and so are data-driven experiences.

and advertising, and so are data-driven experiences. Within three years, more than 50% of mobile

Within three years, more than 50% of mobile

interactions are set to be contextualized and

‘hyperpersonal’; informed by past and real-time

consumer behavior

consumer behavior. AI will play a central role in. AI will play a central role in

making this transformation

making this transformation possible. By facilitatingpossible. By facilitating

greater efficiency and real-time reactiveness, AI – and

subsets such as machine learning (ML) – will soon

become a

become a core business and analytic core business and analytic competencycompetency..

Y

Yet it is important to note that the output of et it is important to note that the output of both AIboth AI

and ML is only as good as the input; initial data quality

must be high.

must be high. Therefore, companies will need aTherefore, companies will need a

means of collating, combining, and translating large

stores of data into a 360-degree view of individuals;

such as a centralized hub

such as a centralized hub..

Currently

Currently, many companies are , many companies are still trying still trying to work to work withwith

a fragmented data supply

a fragmented data supply chain, where informationchain, where information

is often siloed by categor

is often siloed by categoryy, such as different, such as different

channels or devices. This makes it hard to gain a

comprehensive un

comprehensive understanding of derstanding of specific consumerspecific consumer

journeys. Individuals, after all, do not

journeys. Individuals, after all, do not follow a setfollow a set

path; their path to

path; their path to purchase covers multiple onlinepurchase covers multiple online

and offline touchpoints that vary according to unique

needs.

needs. So, to construct tailored messages and makeSo, to construct tailored messages and make

sure they reach consumers at the ideal moment,

companies should look to adopt tools that unite many

omnichannel interactions into one

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5 5

customer-centric strategy companies can tap into

this data flow at any point in the customer journey to

fully optimize and personalize interactions, and drive

positive experiences. Through centralized real-time

data, companies have all the tools they need to adapt

to future developments and mak

to future developments and make the most of e the most of thethe

opportunities that lie ahead.

The challeng

The challenges of es of data security and privacydata security and privacy

At present, the complexity of

At present, the complexity of the data supplythe data supply

chain and rapid technological advances are posing

sizeable challenges to consumer

sizeable challenges to consumer security and security and privacyprivacy,,

especially with the new

especially with the new General Data ProtectionGeneral Data Protection Regulation

Regulation (GDPR) and (GDPR) andUK-US Privacy ShieldUK-US Privacy Shield

tightening the rules on

tightening the rules on data usage.data usage.

Guaranteeing data

Guaranteeing data privacyprivacy, safety, and reliability, safety, and reliability

are now the

are now the three central non-negotiable goals ofthree central non-negotiable goals of

responsible data management. With the

responsible data management. With the GDPRGDPR and and

Privacy Shield putting the spotlight on the way data is

collected, stored, and used, validity will be a priority

for consumers and advertisers: by 2020, digitally

trustworthy companies will be 20% more profitable.

There will also be an increase in the n

There will also be an increase in the number of umber of datadata

protection officers – in line with

protection officers – in line with GDPRGDPR guidelines guidelines

– and, as a result, an increased com

– and, as a result, an increased commitment tomitment to

preventing internal data breaches. It is estimated

that two years after

that two years after GDPRGDPR enforcement, over 70% enforcement, over 70%

of

of enterprises will continuously monitor for enterprises will continuously monitor for sensitivesensitive

data incidents.

Yet the new regulations should be viewed as a positive

development. Not only will they boost overall data

transparency

transparency, but will insp, but will inspire a move from data ire a move from data silossilos

to centralized data hubs that will help companies

trace consumer journeys more precisely, and deliver

better experiences.

Of

Of course, AI and ML will need to be carefcourse, AI and ML will need to be carefullyully

monitored: machines

monitored: machines capable of capable of independentindependent

operation can produce unpredictable outcomes

that may impinge on privacy if

that may impinge on privacy if they are left to runthey are left to run

unchecked. Such challenges, howev

unchecked. Such challenges, howeverer, are par, are part of t of thethe

digital transformation process and, with sufficient

understanding, companies will be ready to meet them.

Source: Tealium

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6 6

Research from Gartner

100 Data and Analytics

Predictions Through 2021

Over the next few years, data and analytics prog

Over the next few years, data and analytics programsrams

will become even more mission-critical throughout

the business and

the business and across industries. This researchacross industries. This research

rounds up Gartner’s top 100 predictions that are

relevant to CIOs, CDOs, and data and analytics

leaders to enhance their

leaders to enhance their strategic plans.strategic plans. Analysis

Analysis

The digital business future confronts you with

almost unlimited possibilities to create business

value through data and analytics. This transition to

digital business requir

digital business requires CIOs, chief es CIOs, chief data officersdata officers

(CDOs) and data and

(CDOs) and data and analytics leaders to makeanalytics leaders to make

a leap toward a new vie

a leap toward a new view of w of data and analytics.data and analytics.

They need to move past the old mindset of

They need to move past the old mindset of keepingkeeping

siloed data, business applications and analytics

applications grounded in data warehousing and

business intelligence (BI) systems, primarily for

enterprise reporting and basic analytical purposes.

Instead, they need to look at data as the raw

material for any decision, and consider that

material for any decision, and consider that datadata

comes from both within and outside the enterprise.

It exists everywhere: at rest, in motion, on-premises

and in the cloud. Big d

and in the cloud. Big data (high-volume, -variety andata (high-volume, -variety and

-velocity information) continues to increase rapidly in

all three dimensions. T

all three dimensions. To capitalize on opporo capitalize on opportunitiestunities

that can be identified, data and analytics need to

be thought of

be thought of as an enterprise las an enterprise layer of ayer of the digitalthe digital

business fabric, taking on a more active and

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7 7

Figure 1. Data and Analytics Enable Everything in the Enterprise

Guide Every Interaction

Ensure Op

Ensure Optimal timal OutOutcomescomes

Inform Every Inform Every Decision Decision Drive Every Drive Every Process Process Data and Data and Analytics Analytics Outcomes Outcomes Data

Data AnalyticsAnalytics

Source: Gartner (June 2017)

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8 8

■

■ Information itself Information itself is being ris being recognized as aecognized as a

corporate asset (albeit not yet a balance sheet

asset), prompting organizations to become

more disciplined about monetizing, managing

and measuring it as they do with other assets.

This includes “spending” it like cash, selling/

licensing it to others, participating in emerging

data marketplaces, applying asset management

principles to improve its quality and availability, and

quantifying its value and risks in a variety of

quantifying its value and risks in a variety of ways.ways.

■

■ Smart devices that both produce and consumeSmart devices that both produce and consume

Internet of

Internet of Things (IoT) data will aThings (IoT) data will also movelso move

intelligent computing to the edge of

intelligent computing to the edge of businessbusiness

functions, enabling devices in almost every

industry to operate and interact with humans and

each other without a centralized command and

control. The resulting opportunities

control. The resulting opportunities for innovationfor innovation

are unbounded.

■

■ Trust becomes the watchword for businesses,Trust becomes the watchword for businesses,

enterprises must seek to adopt

enterprises must seek to adopt advanced analytics,advanced analytics,

and adapt their business models, establish specialist

data science teams and rethink their

data science teams and rethink their overaoverall strategiesll strategies

to keep pace with the competition. “Predicts 2017:

Analytics Strategy and

Analytics Strategy and TTechnology” offers echnology” offers adviceadvice

on overall strategy, approach and

on overall strategy, approach and operationaloperational

transformation to algorithmic business that leadership

needs to build to reap the benefits.

■

■ By 2018, deep learning (deep neural networksBy 2018, deep learning (deep neural networks

[DNNs]) will be a standard component in 80% of

data scientists’ tool

data scientists’ tool boxes.boxes.

■

■ By 2020, more than 40% of By 2020, more than 40% of data science tasks willdata science tasks will

be automated, resulting in increased productivity

and broader usage by citizen

and broader usage by citizen data scientists.data scientists.

■

■ By 2019, natural-language generation will beBy 2019, natural-language generation will be

a standar

a standard featurd feature of e of 90% of 90% of modern BI andmodern BI and

analytics platforms.

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9 9

a 75-year technolog

a 75-year technology cycle that y cycle that will have far-rwill have far-reachingeaching

implications for every

implications for every industryindustry. In . In “Predicts 2017:“Predicts 2017:

Artificial Intelligence,” we reflect on the

Artificial Intelligence,” we reflect on the near-termnear-term

opportunities, and the potential burdens and risks that

organizations face in exploiting AI. AI is

organizations face in exploiting AI. AI is changing thechanging the

way in which organizations innovate and

way in which organizations innovate and communicatecommunicate

their processes, products and services. Practical

strategies for employing AI and choosing the right

vendors are available to data and analytics leaders

right now.

■

■ By 2019, more than 10% of By 2019, more than 10% of IT hires in customerIT hires in customer

service will mostly write scripts for bot interactions.

■

■ Through 2020, organizations using cognitiveThrough 2020, organizations using cognitive

ergonomics and system design in new AI projects

will achieve long-term success four times

will achieve long-term success four times moremore

often than others.

■

■ By 2020, 20% of By 2020, 20% of companies will dedicate workcompanies will dedicate workersers

to monitor and guide neural networks.

“Predicts 2017: The R

“Predicts 2017: The Reinvention of einvention of Buying Behavior inBuying Behavior in

Vertical-Industry Markets”

■

■ By 2021, 30% of By 2021, 30% of net new revnet new revenue growthenue growth

from industry-specific solutions will include AI

technology.

Information Management Predictions

Information Management Strategy

Information str

Information strategy is not a technology (or stack ofategy is not a technology (or stack of

technologies) that an enterprise can easily acquire.

It is a long-term

It is a long-term commitment to the exploitationcommitment to the exploitation

of

of information for improvinformation for improved business outcomes. Ined business outcomes. In

fact, its importance has risen to the executive level.

The incr

The increasing promineneasing prominence of ce of the role of the role of the CDOthe CDO

is the most obvious indica

is the most obvious indication of tion of this. Informationthis. Information

management and analytics are now about much more

than architecting, integrating, cleansing, storing and

analyzing data – they’re central to most organizations’

business strategies and demand

business strategies and demand significansignificant attention.t attention.

F

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10 10

■

■ By 2020, 25% of By 2020, 25% of larglarge organizations wie organizations will be eitherll be either

sellers or buyers of

sellers or buyers of data via formal online datadata via formal online data

marketplaces.

■

■ By 2020, 80% of By 2020, 80% of organizations will initiate organizations will initiate deliberatedeliberate

competency development in the

competency development in the field of field of informationinformation

literacy

literacy, , acknowledging their acknowledging their extreme deficiency.extreme deficiency.

■

■ By 2021, the prevalence of By 2021, the prevalence of equity analysts valuingequity analysts valuing

organizations’ information portfolios in valuing

businesses themselves will spark formal internal

information valuation and auditing practices.

Information Infrastructure

Modern information infrastructure will include data

virtualization, the separation of

virtualization, the separation of storage and compute,storage and compute,

and cloud-based data p

and cloud-based data persistence. Data and analyticsersistence. Data and analytics

leaders must evolve their technology capabilities

for digital transformation. An increasing pressure to

manage data in multiple deployment models, while

also optimizing its access and

also optimizing its access and retrieval, is mounting.retrieval, is mounting.

■

■ Through 2021, 95% of data management projectsThrough 2021, 95% of data management projects

using blockchain will fail due to either performance

challenges or misapplication of

challenges or misapplication of the technologythe technology..

■

■ By 2020, 50% of By 2020, 50% of new data tranew data transformationnsformation

flows will integrate one or more ML algorithms –

resulting in erroneous interpreta

resulting in erroneous interpretations of tions of data.data.

■

■ By 2019, 30% of By 2019, 30% of organizations will organizations will use objectuse object

storage as a data repository on-premises, bringing

cloud architecture to the

cloud architecture to the data centerdata center..

■

■ By 2019, 90% of By 2019, 90% of cloud DBMS architectures wicloud DBMS architectures willll

support the separation of

support the separation of compute and storagecompute and storage,,

rendering those that do not as irrelevant in the

overall market.

Data Security, Privacy and Identity Predictions

In 2017 and beyond, achieving three important goals

– privacy

– privacy, safety and reliability – will require strong, safety and reliability – will require strong

planning and execution in the areas of

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11 11

■

■ By 2020, more than By 2020, more than 20% of 20% of organizationalorganizational

business plans will use infonomics to

business plans will use infonomics to provide aprovide a

financial analysis of

financial analysis of data assets and liabilities.data assets and liabilities.

“Predicts 2017: Business Continuity Management and

IT Service Continuity Management”

■

■ By 2020, 30% of By 2020, 30% of large enterprises large enterprises will leveragwill leveragee

snapshots and backups for more than just

recovery

recovery, up from , up from less than 10% in 201less than 10% in 2015.5.

■

■ By 2020, investment in AI/ML-based tools forBy 2020, investment in AI/ML-based tools for

IT resilience orchestration automation will

IT resilience orchestration automation will moremore

than triple, helping reduce business outages from

cascading IT

cascading IT failuresfailures..

“Predicts 2017: Privacy Becomes a Necessity With

Opportunity”

■

■ By 2020, large global-enterprise use of dBy 2020, large global-enterprise use of dataata

masking or similar pseudonymization techniques

“Predicts 2017: Endpoint and Mobile Security”

■

■ By 2020, 60% of By 2020, 60% of current portable physical flashcurrent portable physical flash

data carriers will be replaced by cloud-based

business data sharing.

“Predicts 2017:

“Predicts 2017: Threat and VulneraThreat and Vulnerability Management”bility Management”

■

■ By 2020, 10% of By 2020, 10% of penetration tests wipenetration tests will bell be

conducted by ML-based smart machines, up from

0% in 2016.

Enterprise Content Predictions

Enterprises are modernizing their content

management infrastructures and applications to

better support digital workplace initiatives. At

the same time, emerging content management

technologies and capabilities provide enterprises with

the opportunity to leverage the trends associated

with cloud, mobile and social. In “Predicts 2017:

Automating and Improving Workers’ Content

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12 12

Information Tec

hnology

hnology Infrastructure

Infrastructure

Predictions

Internet of Things

The IoT is emerging as a key enabler of

The IoT is emerging as a key enabler of our digitalour digital

future, and global spending on IoT – including all

hardware

hardware, software and serv, software and services – will increase inices – will increase in

the next five years. However, the path to capturing

benefits from IoT will not be a straight line. It will

have many twists and turns as companies pursue b

have many twists and turns as companies pursue bigig

plans, hit roadblocks, learn and adjust. Some will give

up, while others will follow through and realize the

transformational potential the IoT can

transformational potential the IoT can have in helpinghave in helping

■

■ By 2020, 30% of By 2020, 30% of smart cities’ ambient caresmart cities’ ambient care

applications – related to, for example, medical/

healthcare/nursing care

healthcare/nursing care, including , including proactive care –proactive care –

will have introduced smart machines and robotics

in nursing care and medical facilities.

■

■ By 2020, 10% of By 2020, 10% of smart cities will use strsmart cities will use streetlampseetlamps

as the backbone for a smart city WAN.

■

■ By 2020, half By 2020, half of of all the smart city objeall the smart city objectivctiveses

will include climate change, resilience and

sustainability key performance indicators (KPIs).

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13 13

■

■ By 2021, 50% of By 2021, 50% of apps will trigger events apps will trigger events for users,for users,

thereby making them more efficient.

The personal device market represents connected

devices used by people during the day, at work, at

home, to play or on the go. The personal device

market is e

market is expanding with new types of proxpanding with new types of products,ducts,

such as wearables, linking with IoT endpoints and

using immersive technologies. Product management

and business leaders must consider the following

predictions offered in “Predicts 2017: Personal Devices”

to monitor the future tr

to monitor the future trends of ends of personal devices:personal devices:

■

■ By 2020, 5% of By 2020, 5% of adults 65 years adults 65 years of of age and olderage and older

will have a personal healthcare robot.

Application Development and Integration

Application development technologies and disciplines

continue to evolve as the need

continue to evolve as the need to deliver businessto deliver business

outcomes and accelerate application delivery with

high quality intensifies. As digital business remains

dynamic, and business teams become more eng

dynamic, and business teams become more engagedaged

in the solution delivery process, we expect this will

result in a more-comple

result in a more-complex collection of x collection of technologies,technologies,

disciplines and practices to support the varying needs

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14 14

■

■ By 2020, 90% of By 2020, 90% of DBMS vendors will DBMS vendors will offer aoffer a

database platform as a service (dbPaaS); those

that do not will become irrelevant.

Software Adoption

Software vendors are increasingly compelled to

respond to new demands from customer bases that

are expanding beyond the

are expanding beyond the traditional IT buying center.traditional IT buying center.

Initial drivers of

Initial drivers of this demand chain are end users this demand chain are end users oror

constituents, who are expecting quicker responses to

their demands in order to

their demands in order to stay competitive, but it’sstay competitive, but it’s

being increasingly driven by senior

being increasingly driven by senior executivexecutives wantinges wanting

quickly adapt to market needs

quickly adapt to market needs and emerging marketand emerging market

opportunities. This situation is r

opportunities. This situation is reflected in our set ofeflected in our set of

predictions for 2017.

“Predicts 2017: Changing Dynamics for

Semiconductors and Electronics”

■

■ By 2020, DNNs and ML applications willBy 2020, DNNs and ML applications will

represent a $10 billion market opportunity for

semiconductor vendors.

■

■ By 2020, one-third of camera-enabled IoT devicesBy 2020, one-third of camera-enabled IoT devices

will embed some form of

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15 15

■

■ By 2020, 40% of By 2020, 40% of EA practitioners will use leadingEA practitioners will use leading

indicators to plan, track and manage digital

business

business investmentsinvestments..

“Predicts 2017: Digital Business Elevates the

Customer Experience Well Beyond

Customer Experience Well Beyond Current RetailCurrent Retail

Multichannel Capabilities”

■

■ By 2020, at By 2020, at least three large multichannel retaileast three large multichannel retailerslers

will have strategic partnerships with companies

operating “sharing economy” business models for

multichannel fulfillment.

Digital Commerce

Spending on digital commerce

Spending on digital commerce initiatives continues toinitiatives continues to

grow

grow, and vendors are tr, and vendors are trying to keep up with ying to keep up with demanddemand

by utilizing more apps

by utilizing more apps and analytics, investingand analytics, investing

in commerce innovation, and expanding digital

commerce to business buyers. Our “Predicts 2017:

T

Trustworthiness and rustworthiness and ‘Commerce That Comes to ‘Commerce That Comes to YYou’ou’

Present New Opportunities for Digital Commerce”

suggests that competition between digital commerce

sellers will intensify, which will increase the

sellers will intensify, which will increase the urgencyurgency

of

of the need for adthe need for advanced uses of vanced uses of data, along with thedata, along with the

search for viable new sales

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16 16

“Predicts 2017: CRM

“Predicts 2017: CRM Will Reach Critical Tipping PointsWill Reach Critical Tipping Points

for Integration, Analytics and Customer Experience”

■

■ By 2020, more than 40% of By 2020, more than 40% of all data analyticsall data analytics

projects will relate to an aspect of

projects will relate to an aspect of customercustomer

experience.

“Predicts 2017: Enhance the TSP Customer

Experience”

■

■ By 2020, 80% of By 2020, 80% of consumers will use consumers will use only half only half thethe

number of

number of apps they currently use todayapps they currently use today..

■

■ By 2020, 25% of By 2020, 25% of organizations using a salorganizations using a saleses

performance management (SPM) solution will

optimize the design and mai

optimize the design and maintenance of ntenance of theirtheir

sales compensation plans using advanced

analytics solutions provided

analytics solutions provided by their SPM by their SPM vendorvendor..

Customer Service

Expectations are high for the customer service and

support business applications that are now maturing

from CRM software vendors. Yet, enormous gaps exist

within enterprises between what IT leaders

within enterprises between what IT leaders are able toare able to

deliver

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17 17

dexterity in the workfor

dexterity in the workforce will be a critical source ofce will be a critical source of

competitive advantage

competitive advantage, based on , based on the simple notionthe simple notion

that an engaged, digitally literate workforce capable

of

of seizing technological advaseizing technological advantage will drive betterntage will drive better

Supply Chain Planning

In “Predicts 2017:

In “Predicts 2017: Supply Chain Trends andSupply Chain Trends and

Innovations

Innovations,” we provide supply chain and ,” we provide supply chain and IT leadersIT leaders

with targeted advice on how they must reimagine what

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18 18

Emerging Markets

Increased demand for business-oriented technologies,

digital adoption, positive and enhanced links between

CEOs and CIOs who impact IT demand, and the

■

■ By 2020, 15% of By 2020, 15% of low-tierlow-tier, billable legal work will, billable legal work will

be replaced by smart

be replaced by smart machines powered by datamachines powered by data

analytics platforms.

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19 19

■

■ By 2019, 50% of By 2019, 50% of IT vendor managementIT vendor management

organizations will use advanced analytics to

manage critical vendor risks.

■

■ By YE19, By YE19, blockchain-enabled innovatblockchain-enabled innovations willions will

deliver 0% of

deliver 0% of banks’ digital profits.banks’ digital profits.

Education

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20 20

■

■ By 2020, 25% of By 2020, 25% of new monitoring and controlnew monitoring and control

systems in the utility sector will use IoT to enhance

algorithmic business capabilities.

also spotlight the sh

also spotlight the shortcomings of ortcomings of core healthcarcore healthcaree

provider systems. This presents real opportunities for

CIOs to identify the inno

CIOs to identify the innovations of vations of today that will betoday that will be

mainstream tomorrow and prepare for

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21 21

predictions and recommendations guide companies

in the industry on how to be

in the industry on how to be a leader during thesea leader during these

turbulent times.

ensure their companies remain competitive, in terms

of

of business capabilities, as well as cost-effectivbusiness capabilities, as well as cost-effectiveness.eness.

Today’s increasingly complex and volatile business

climate is forcing supply chain leaders in

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22 22

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About Tealium

Tealium revolutionizes today’s digital businesses with

a universal approach to

a universal approach to managing the ever-increasingmanaging the ever-increasing

flows of