0

INTEGRATION

INNOVATION

THE NEW FRONTIER FOR

CONTENT MANAGEMENT

1 www.qtility.com

TABLE OF CONTENTS

01 Summary ............................................................................................................ 2

02 Intro: Internet of Things, Big Data Smart Cities ................................................... 3

03 Resulting Technology and ECM .......................................................................... 4

04 Challenges created by new tech ......................................................................... 7

05 What this means or Content Management ........................................................ 11

06 The Future: Integration and Decision Models ................................................... 12

2 www.qtility.com

01 SUMMARY The future is here, with the drive for innovation as the harbinger.

What may have previously seemed like science fiction or top

secret technology is now a reality with radar technology,

geospatial mapping, and powerful analytics and forecasting

technology joining forces.

But with the positivity associated with powerful new technology comes equally as challenging

problems around user realization and awareness of how to integrate it. The same issue arises

around the management of data and content in new IT ecosystems. Finally, as a result of this

new wave of technology, many existing sectors within IT are being challenged to evolve and

integrate in new directions that might not sit in their sweet spot. And more rapidly, firms are

realizing these factors and taking action.

In April 2015, IBM announced a 2BIL investment in Internet of Things, (IoT) technology

development, while other large giants like EMC launching new innovative offerings frequently.

For each new technology, the whole infrastructure of supporting services must make

decisions to adapt or conform – from content management and cloud applications to

analytics. For most companies the answer has been simple: they must innovate to keep in

step with the global trends. But what are these trends, and what challenges does their

realization and integration truly entail for content management? And moreover, what does

the future that can embrace these challenges look like?

3 www.qtility.com

02 Intro: Internet of Things, Big Data,

Smart Cities Internet of Things, or (IoT) is the term used to summarize the reality that now the internet in organizations

is more than just browsing websites or using Software as a Service (SaaS) applications. Devices like sensors,

automobiles, and tracking devices now use the Internet to form interconnected real-time systems, such as

smart cities with parking space sensors, as well as supply chain and manufacturing systems for corporations.

Enterprises may soon need many deployments of sensors not only grouped into standalone functional

services, but in turn those IoT services will need to be integrated into enterprises’ overall operations.

Like IoT, the term “Big Data” has received much hype of late, and like IoT, allows for intense analytic

capability in organizations, but with a focus on numerical analysis and extrapolation.

“Smart Cities” are the municipal application for the amalgamation of both sensory technology and wireless

communication made possible with IoT systems, and can even include data analysis and forecasting for

much of the incoming swath of data across various platforms. The term “smart city tech” also expands to

include integrated systems with workflows for information and requested across organizational boundaries

and technology systems.

If the future truly is in these new types of infrastructures, and with millions of online devices producing

data, IoT and big data will become necessary components in operational systems that provide true value in

day to day functions within large organizations, cities, governments and centralized Cloud applications. In

order to feed data in real-time to centralized Cloud or SaaS systems that produce data for consumption in

various forms, there needs to be an easy way to integrate these various devices and operational systems.

Connecting devices and software via real time integration between divergent systems, to increase

functionality and accessibility of required data, is not easy. This connectivity presents barriers to leveraging

Big Data to improve oversight of enterprise data or present it in various formats in any meaningful way.

This issue is particularly true with enterprise content management sector, where such integrations often

require complex export and transfer processes. IT protocols require exacting records management and the

ability to integrate, classify, and index files instantaneously with visibility and traceability.

Many technology companies must understand what these specific technologies are capable of, and some

of the latest trends and issues related to implementing them.

4

03 Resulting technology and ECM Some of the largest and newest trends on the market that have an effect on ECM sector can be divided

into the categories of Corporate Operation Platforms, Smart City Technology, and Geomatics

Corporation Operational Platforms

Manufacturing and Distribution Systems: These

systems can work with radar and tracking devices to

streamline warehouse and manufacturing processes.

Data can be used to improve efficiency, as well as to

predict future materials and resource needs.

Example: Stanley Black & Decker Connected Tools -

this platform links IoT sensing on high-end large

professional powered tools via the Salesforce1

Customer Platform to the rest of their business.

Visibility of failing tools allows Stanley Black & Decker

to offer the right support, including selling a

replacement, at a critical time for their customers. [4]

For ECM sector, this new reporting information must

be integrated with in-house and cloud management

systems in new ways that involve automated

formatting and indexing.

Big Data Analytics: Big data analytics are letting

organizations track and forecast information in new

instantaneous and dynamic ways. Its implications for

other new technologies like IoT and ECM is huge. For

content management in particular it offers the ability

to analyze trends across platforms like internal

knowledge management, social media and marketing

for large consumer enterprises as well as new forms

of managing all of the reporting and data streams

within ECM software in the cloud. They can make use

of semantic text analysis and automated

categorization. However valuable IOT and big data

driven functional services might be, if they are

standalone, then the last twenty years of IT projects

spent focused on creating automated end to end

business efficiency through integration are being

ignored. It’s vital to integrate these new technologies

into analytical and content management systems in

order to truly make them valuable.

5 www.qtlity.com

SMART CITIES

According to UN statistics, in 2014 more than 51% of

us now reside in urban environments. Since the turn

of this century, mega-cities in the developing world

have doubled their populations [2]. These facts

coupled with advancements in technology have seen

the natural evolution of software and technology to

better manage municipal infrastructures, however,

there's a lot of confusion over what comprises “smart

cities” technology. That’s because most are focused

on different outcomes. For example, digital cities,

driven primarily by investments from large vendors

such as Cisco and IBM, are aimed at enabling every

person and thing to be massively interconnected

through a complex array of high-speed networks,

servers, and data warehouses. Eco-cities on the other

hand, focus on environmental sustainability through

the widespread adoption of renewable resources. An

example of such is the Masdar project in the United

Arab Emirates, which aims to be a "carbon-neutral,

zero-waste" zone. Therefore, in reality, a true smart

city must be many things integrated in a holistic and

systemic way. [1]

Given the pervasiveness of geospatial information in

such new tools and services, one major component is

the use of geomatics in technology, which is a

requisite for establishing a Smart City. The growing

urbanization challenges that are part of the

governance of cities can be managed by such new

tools and may add flexibility to respond to citizens’

needs of services. A Smart City aims to deliver better

services to citizens, to give them real-time

information that may help them to make the good

choices and contributes to solve everyday problems

in a city. Transportation, security, available parking

places, water or energy consumption, information

about traffic jams, and alternative routes, snow

removal, goods, services, events. On time and well

provided information can simplify everyday life in a

city and help people make decisions.

51% of the world’s

population now lives in

urban environments

according to UN

statistics

6 www.qtlity.com

GEOMATICS

Since the emergence of dynamic and easily

accessible online mapping tools, there has

been a drastic increase in demand and interest

in geographic tools. Whether for personal,

social, professional or academic use, people

are using Geographic Information System (GIS)

technology to communicate information in a

map format. Whether it’s using Google Earth

to study urban change, or an energy company

creating new monitoring technologies, more

and more members of society are turning to

online mapping programs for their

visualization needs.

Geomatics and GIS enabled technologies play

an integral role in smart city technology, and

become part of the foundation for smart city

systems by providing location-centric

information. While an integral part of smart

cities, they are also the base of many more

scientific and monitoring systems used for

environmental monitoring, geology, mining,

pipelines, power lines, hazardous substance

storage and transportation, and integration to

satellite technologies. As this information is

more and more readily available, users and

managers across organizations must learn how

to make use of new systems and data.

To address the issue of spatial literacy, namely the

ability to use the properties of space to communicate

reason and solve problems, organizations,

government agencies and cities can provide location-

related information for public use. Not only should

geospatial infrastructures and technologies be

available to integrate spatial information in city

management and services, but service providers,

infrastructure operators and decision makers should

understand how to organize this spatial information

and take fully advantage of it. They should know

where, when and how to think spatially. They should

understand spatial representations, understand 3D

models and conduct reasoning based on such

visualizations. They should be able to have a critical

eye towards the reliability, relevance and validity of

spatial information. Citizen participation and

empowerment being a key ingredient of Smart Cities,

the spatial domain should also be added to city

change management and citizenship education.

7 www.qtlity.com

04 Challenges created by new tech INTERCONNECTIVITY/ TECHNOLOGY ISSUES

However valuable IoT-driven, functional

services might be, experience can tell IT

and business professionals that if

these services are standalone, then

many lessons learned from the last

twenty years of creating end-to-end

operational business efficiency

through IT integration are being

ignored.

But the integration of data coming from

various application domains is not an easy task as

information does not always adhere to any

standardized format. Even within a single

domain, data is not easily integrated or shared.

Consideration of IoT data and integration within

domains needs to also be considered at the

international level. [10]

Most of the current proposed integration

mechanisms and processes on the market are

excellent frameworks: but they are only

standards that leave decision making algorithms

out of the picture, saying how to do something

but not when or how to solve integration

problems. This allows numerous

researchers and engineers to study

and develop efficient solutions for

improving flexibility needed to

meet heterogeneous

requirements. This is the case

where integrating to other

analytics systems such as big data

and corporate forecasting predictive

analytics, and requiring custom integrations in

each instance.

A recent trend report from Deloitte Consulting

warns: the analytics capabilities exist for Internet

of Things (IoT) data, either in source systems, or

through secondary applications; “It’s the

integration of systems and lack of interoperability

that will challenge organizations”, [7]. Such

quote reinforce the reality that it’s one thing to

have massive databases in the Cloud, or stored in

8 www.qtlity.com

silo systems, but quite another to reliably pull the

data from various sources and make it available

in a meaningful form for mission critical

applications such as first responders or for public

consumption.

According to industry reports from Oracle, in

ideal systems, such integrations result in higher

efficiencies and cost savings –where the crucial

component is the necessity of having a Service-

Oriented Architecture (SOA) approach that

facilitates a fully shared environment. [2] Taking

such a SOA approaches for local and city

government organizations will require a new way

of thinking about IT infrastructure, not only

technically but organizationally. SOA can leverage

multiple vendors who build systems and create

interoperability by using each other’s capabilities.

By interoperating and mapping an SOA approach

across IT systems, local governments can achieve

dramatic results. Such thinking will shift the old IT

model of proprietary systems that can’t be

transformed from older generations of

technology to a flexible, shared model that leaves

room for scalable, incremental growth [2]

This all spells the need for extensive integration,

testing, and validation. This can be extremely

costly, particularly when design and build project

processes for IoT services have not been clearly

defined, and lack many clearly distinct successful

cases.

SECURITY/PRIVACY ISSUES

Another major challenge is convincing companies

to give up some of their lock-down by publishing

certain aspects of their data. While proprietary

formats and APIs may give them an edge now, in

the long run, this may work against them as

competitors agree to follow standards. But until

then, it will be hard for organizations to realize

the real value of IoT analytics,

On the internal operating environment of private

and public organizations, different security issues

around privacy and data lockdown exist.

Researchers and consulting firms have both

proposed various models for adaptive data

handling, data processing, and data fusion

methods that are required to handle the

industrial IoT data emerging. [10] It can be

expected that data from IoT systems needs to be

correlated to the already available automation

and control data in organizations. For example, in

many developed markets, privacy concerns and

industry fragmentation are creating barriers to

unlocking new value in healthcare from pervasive

computing solutions. This blended information

will be needed for a specific installation, and also

available on site rather than cloud, in the case of

utilities or manufacturing companies. All this data

and information needs special attention

regarding handling and management in terms of

security and access, with migration and

import/export rules for ECM systems. While

many existing security frameworks exist, these

must be adapted to new technology on an

ongoing basis and requires constantly evolving

policies for managing information.

9 www.qtlity.com

SUPPLY CHAIN AND PARTNER ISSUES

Many businesses, governments and international

firms are just beginning to dive into the world of

big data, smart technology and IoT. In a study

analyzing the partnership and collaboration

between different technology and organizational

stakeholders, researchers found that it was

necessary for large technology partners to

develop working groups centered around each

technology area, and then in turn adapt their

services and solutions to each customer they

dealt with, often running pilot programs with new

customers for new technology. [13] In such

undertakings, it’s important to recognise that the

needs and aspirations of each city may be very

different; and requires partnerships (across many

clients and with other delivery partners) to

achieve the desired large-scale transformations.

Many such working groups existing at different

levels: in Europe there are initiatives like smart

city conferences and large European working

groups with members across nations. The same is

true

in

China, with many central planning initiatives with

large corporations in cities like Beijing focused on

manufacturing. While there are organizations in

the US such as the Smart City Council, there is a

relatively low amount of engagement relative to

the proportion of large cities and infrastructure

needs.

In terms of big data and internet of things, most

US firms do seem to be at the front of the pack

however, with other global organizations, and in

many cases are redefining new technologies in

manufacturing, energy, finance and the like.

In large technology consulting firms like IBM,

Cisco and HP, there is specific technology

developed for integration in each of these areas

as well as specialist service teams that extend

beyond their technical expertise into thought

leadership and areas for “Smart City”, “Big Data”,

and so on.

The dynamic found across smart city and

technology research reports seems to indicate

that engagement must be driven across

government levels, corporate service providers,

and technology development firms. In order to

create the most appropriate technologies, often

development must be run on a client test proof,

whereby organizations from across the 3

mentioned above partner to take on a new

technology challenge, which can then be

repurposed by the consulting or technology firm

for another client. This complex industry-society

dynamic by itself is both a challenge and an

opportunity – it poses a challenge insomuch as

SMART CITY TECHNOLOGY SUPPLY CHAIN INTERACTION

10 www.qtlity.com

that it is a barrier for organizations that aren’t

able to collaborate or gather the resources for

such large infrastructure projects. However, the

opportunity for both large and small businesses is

that it can allow for new product development

and results in a reusable product. It also creates a

lot of new value chain opportunities for firms

with specific vertical market products to fit into

infrastructure provided by larger tech and

consulting firms, and in some cases can work

independently with smaller clients if their

services suit the need and business model.

BIG DATA ISSUES

The spatial dimension introduced by geospatial

technologies accentuates the general challenges

that big data installations and governance face,

namely variability in: volume, variety and velocity

of information [7]. The differentiation of spatial

data types, (ex. points, images, polygons, etc.)

level of details, and reliability requires adapted

data integration approaches to handle

inconsistencies. Also, as sensor data tends to be

noisy, analog, and high-velocity, it creates

challenges that traditional analytics architectures

and techniques will not handle well. This is

especially true if integrating sensor data and

historical data in real time. [7]

Furthermore,

big data analytics

tools are generally not able to deliver the value

associated with spatial analyses. Such analyses

generally require dedicated storage,

manipulation and visualization functions that can

geographically organise, structure, correlate or

mine the data in order to unlock new value.

Historically, business intelligence (BI) and GIS

technologies have followed separate paths.

However, Geospatial intelligence (i.e. GeoBI) is a

new group of technology, offers solutions in its

ability to make sense out of the spatial or location

information attached to the data, to segment

data based on spatial patterns and find patterns

of spatial clustering. This adds powerful insights

into information patterns that cannot be

obtained in any other fashion [3].

PERSONAL, PHILOSOPHICAL AND LEGAL

The preservation and cultivation of human

agency in IoT is especially at stake as the innate

pervasiveness, distributed, and networked

character of connections can impair the human

ability to control the system while being part of it.

This implies creating the conditions for a dynamic

but alert integration of technical and human

dimensions in the already tangled nodes of

machines (deterministic, mechanistic action) and

user agents (nondeterministic, creative, self-

reflexive action). Traditional security solutions

like Role Based Access Control (RBAC) and

Attribute Based Access Control (ABAC) systems

may not be adequate to support the

heterogeneity and complex distributed

environment of IoT. For example, RBAC and ABAC

have very limited expressiveness considering

complex policy

rules including context-aware obligations with

temporal constraints, which are common in IoT

scenarios. In smart city systems with secured

information, this presents management control

issues.

ISSUES AROUND DATA AND CONTENT IN NEW TECH

VARIABILITY COMPLEXITY

PLURALITY OF

SOURCES

11

05 What this means for content

management As the industry adapts, web services standards and open API’s are lowering the barrier to integration and

collaboration in content management and strategy projects. Software providers and analysts have spoken

out that it’s easier than ever to create connections between systems, storing and managing content assets

in one system and presenting them in another [5]. However, it still means that projects to design custom-

code integrations are required, creating time and cost concerns for integrations. [5]

With the continued advancement of open API’s and their coming into the mainstream in content

management systems, there are more and more opportunities for clients to work with development

partners and application developers of any software or program language strength to customize their

implementations of enterprise or cloud services. With the technical barriers to system integration being

broken down with, there is a clear trend emerging for customers to be forging partnerships with 3rd party

content providers, publishers, distributors and developers.

This means that development partners will be not only easier to identify and more available but also more

qualified in working with API’s. This is particularly true for those seeking to extend their services through

the integration of complementary applications, and true for those that have “content strategy” in their

marketing mix. Reduced technical barriers provide more incentive to integrate content from 3rd parties

and build partnerships and collaborations around a content exchange. It’s clear that Web and content

management systems that offer ease of integration and popular API’s will be at the center of these partner

relationships. [5]

12 www.qtlity.com

06 The future: integration and new

decision models Industry reports that look at the requisite success factors of IoT strategies all seem to echo: it’s almost

impossible to create holistic pictures and ecosystems of IoT data, and thus a more powerful analytics

capability, when you can't get all of this data to be integrated and standardized in some way. [6] A different

question has emerged across smart city technology research: how do companies and governments select

design and implement new system strategies and technologies without experience in using appropriate

models for decision making in these new technologies? The answers seem to rest in letting the market

allow natural market forces to produce the most valuable solutions to clients at the right time, in the right

place.

SERVICE INNOVATION, PARTNERS AND

INFRASTRUCTURE INTEGRATION

Companies are competing to provide the

hardware, software, and services to implement

and expand these sectors. If the past is an

indicator, we will see different companies

providing them than they are today. We can

expect to see the winners develop high-value,

repeatable solutions at the intersection of

mobility, analytics and cloud computing - creating

new sources of value in technology.

Industry analysts at Bain and Company have

posited that all of this activity will generate

tremendous opportunity across many industries

such as telecommunications, software/IT-

enabled services and consumer electronics.

Some industries are already using pervasive

computing at scale. In many developed markets,

utilities are investing significantly in smart grids,

smart meters and smart thermostats,

encouraged by regulators and established

standards.[8] With demand and availability of

new systems, companies will need to partner

with complimentary technology to create the

most interconnected and valuable services to

clients, that can integrate and scale easily.

GOVERNANCE, OPENNESS AND PRO-

ACTIVENESS

On the other hand, the success of placing the new

technology within infrastructures such as smart

cities requires a cohesive vision, direction, and

openness from government organizations, while

corporations require education on how to

integrate such systems into their operations

models and product offerings. And it’s not easy as

there are many challenges ranging from privacy,

change management, and user awareness.

13 www.qtlity.com

THE FUTURE:

Bain analysts speculate that companies that create affordable, end-to-end offerings will make it easier for

others to invest in the next wave of computing. Given time and with market pressure, we'll see new

platforms emerge within sectors, followed by cross-industry solutions. As these platforms emerge,

companies creating pervasive solutions at the infrastructure level will need to manage the interaction of

millions of inputs like sensors and geomatics, and find ways to cost-effectively collect and analyse the huge

volumes of unstructured data they produce.[8]

We are witnessing a major shift in terms of global economic growth - the GDP of western cities is

decreasing, while that of major Asian cities (India and China) is increasing quickly [13]. If western cities want

to maintain and evolve in sustainable directions to have leading economic activities, they will have to find

new strategies to do so. The underlying philosophy for technologies like big data and smart city

transformations guarantees an increased attractiveness of brains and creative and innovative companies,

more efficient organization and a concern with respect to the quality of life and sustainable development.

This is the challenge presented to large and small scale vendors and service providers: to offer the most

value at the right time to clients, and to work with decision makers to design the most beneficial and

practical technologies.

14 www.qtlity.com

REFERENCES 1. The Future of the Future: Being smart about smart cities, Sep 29, 2011, Art Murray, Mark Minevich and Azamat

Abdoullaev, http://www.kmworld.com/Articles/Column/The-Future-of-the-Future/The-Future-of-the-Future-Being-

smart-about-smart-cities-77848.aspx

2. An Oracle White Paper June 2011 Oracle’s Solutions for Smart Cities: Delivering 21st Century Services

http://www.oracle.com/us/industries/public-sector/032422.pdf

3. Internet of Things – Converging Technologies for Smart Environments and Integrated Ecosystems,

http://www.internet-of-things-

research.eu/pdf/Converging_Technologies_for_Smart_Environments_and_Integrated_Ecosystems_IERC_Book_Ope

n_Access_2013.pdf

4. Andy Mulholland, Internet of Things; Enterprise Value = Integration, Automation and Scale, December 17, 2014,

https://www.constellationr.com/content/internet-things-enterprise-value-integration-automation-and-scale

5. Two Trends in Content Management for 2015, Posted 01.13.2015, http://dotcms.com/blog/post/two-trends-in-

content-management-for-2015/

6. Internet of Things Value Hinges on Data Interoperability, Integration, Loraine Lawson, 11 FEB, 2015,

http://www.itbusinessedge.com/blogs/integration/internet-of-things-value-hinges-on-data-interoperability-

integration.html

7. Deloite, Top Analytics Trends in 2015, http://public.deloitte.com/media/analytics/trends/analytics-trends.html

8. Bhanu Singh, Chris Brahm & Prashanth Aluru, Internet of things: The future is here, August 4, 2014,

http://www.business-standard.com/article/management/internet-of-things-the-future-is-here-

114080300624_1.html

9. Kounlis, Baldini, Building Trust in the Human– Internet of Things Relationship, IEEE TECHNOLOGY AND SOCIETY

MAGAZINE | WINTER 2014

10. Vermesan, Friess, Internet of Things Strategic Research and Information Agenda, Converging Technologies for

Smart Environments, Rivr Publishers, 2013.

11. IDC, EMC, The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things,

April 2014, http://www.emc.com/leadership/digital-universe/2014iview/index.htm

12. Rouse, Margaret, Big Data Analytics, http://searchbusinessanalytics.techtarget.com/definition/big-data-analytics

13. Jung Hoon Lee, Marguerite Gong Hancock, Mei-Chih Hu, Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco, 2008

15 www.qtlity.com

www.ca.linkedin.com/in/qtility

www.twitter.com/qtilitysoftware

www.facebook.com/qtility

©2015 Qtility

CONTACT US