IS6050 Continuous Assessment – Written Assignment (50%) Background: In class we closely examined the challenges organizations face in trying to become more data driven. In particular, we examined the...

Contents
1.    Introduction    2
Case studies    2
2.    CDO Defined    3
3.    Challenges of CDO :    4
3.1.    People Challenge    4
3.1.1.    Lack of role definition    4
3.1.2.    Behaviour and belief systems of an enterprise employees    4
3.1.3.    Achieving chief data influencer role    4
3.1.4.    Cultural Change in organization    5
3.1.5.    Data literacy of people     5
3.1.6.    Establish a map of key stakeholders     6
3.1.7.    Building trust     7
3.1.8.    Hiring challenges    7
3.2.    Technical Challenges    8
3.2.1.    Technical Infrastructure     8
3.2.2.    Keeping pace with the accelerated rate of IT innovation while also dealing with legacy system complexity and shortcomings     11
3.2.3.    Identifying Co
ect methodology    12
3.3.    Bussiness Challenges    12
3.3.1.    Business ownership of data    12
3.3.2.    Balancing enterprise and business unit goals for data collection and use    13
3.3.3.    Unrealistic expectations    13
3.3.4.    Measuring data improvements in business terms    13
1. Introduction
Organizations, in worldwide are scrambling to remodel their data strategy to capture, store , process increasing amounts of data, translate it into usable data and ultimately empower more intelligent business decisions[1].
Case studies
(
powe
and utility (P&U) systems
of
canada

were
designed more than 100 years back. T
hese systems worked well in vertically integrated and centra
lly supplied generation models. Although
distributed renewable generation, new digital technologies and changing consume
demands and
expectations are turning the traditional industry model
etardation in growth
. The
efore
future of Canadian P&U supply chains
is considered to be
interconnected by digital technologies, enabling the flow of power an
d data in same

directions[
3].
)
(
There is
huge amount of valuable
data
available
in the mining and metals (M&M) industry, but
this industry
have
very little skill
to
mine the knowledge from this data lake. Therefore there is need to
deploy, use and integrate technologies to achi
eve their strategic
priorities
[
4].
)
2. CDO Defined
The Chief Data Officer is a C-level executive with major responsibility for enterprise data management and Data governance. Data Governance means formulation of policies to optimize information flow, securing the information , and leverage information as an enterprise asset.
3. Challenges of CDO :
1.
2.
3.
3.1. People Challenge
3.1.1. Lack of role clearity
Capital One is the first enterprise which introduced the CDO concept, there has been a fast growth in the number of firms with a CDO after that. But still definition of CDO role is not clear [6].
3.1.2. Behaviour and belief systems of an enterprise employees
Some describe culture as “the collective conversations of an enterprise.” As a result, one cannot change the behaviors and belief systems of an enterprise without changing the conversations within it. The CDO is the source of leadership for fostering a data-driven business [7].
3.1.3. Achieving chief data influencer role
You can think of the CDO as the “chief data influencer,” working steadily to enable the organization to become increasingly data-driven in its decision making and operations, and in the behaviors of its people. This means that CDOs must engage with business and IT stakeholders at a human level, taking into account their motivations, desires and even emotions. In this way, the human context dovetails with the business context of digital transformation, business outcomes and workforce digital dexterity [8]. CDOs should lead in three key areas of influence:
· Demonstrating the business value of data.
· Managing t0he effects on organizational culture of a data-driven approach to business.
· Confronting the ethical implications of data and analytics.
3.1.4. Cultural Change in organization
Significant cultural change is necessary to creating a data-driven organization. Therefore, CDOs must consciously address and reinforce the desire, attitude and behaviors that are needed to become a data-driven organization. Determining how to get started with a data-driven change management campaign is a vital challenge for CDOs and other data and analytics leaders committed to creating a data-driven culture[8].
3.1.5. Data literacy of people
Data Literacy is an essential part of a data-driven culture. An information language ba
ier exists across business units and IT functions, rooted in ineffective communication across a range of stakeholders. As a result, data and analytics leaders, including...