Data-Based Decision Making and Digital Transformation by Ciara Heavin & Daniel J. Power

Author:Ciara Heavin & Daniel J. Power [Ciara Heavin]
Language: eng
Format: epub
Publisher: Business Expert Press
Published: 2018-05-30T16:00:00+00:00

CHAPTER 5

Implementing Digital Transformation

Both a digital vision and implementing organization-wide actions are important to digital transformation. Data-based decisions must also be made about practical aspects of implementing digital technologies. This chapter explores the how and what of implementing specific technologies in ­specific ­processes in an organization. In general, once the vision is defined then technology shortfalls need to be determined. Investing in technology that is not used or that is difficult to use is a problem to avoid. To encourage agile development and rapid customized implementations it is important to consider focusing initially on small-scale cloud-based solutions. Buying large-scale, packaged solutions is fine for infrastructure changes like a new database environment, but such ­solutions are rarely transforming.

Selecting appropriate technology is important to implementing a ­digital vision, but the transformation of processes is also an important implementation concern. Everyone needs to be part of the task of ­transforming work systems and processes not just IT staff. It is important to broaden the availability of skills needed for implementing a digital transformation vision across functions. Technology is an enabler, people and processes must change to implement a new digital vision.

Also, agile processes1 are important when implementing a digital transformation strategy. Plans must adjust quickly during implementation to meet changing requirements. Establishing and encouraging a data-­centric organization culture must be an early goal as part of implementing new processes and technologies. Promoting data-based decision making also helps during implementation. Finally, implementation fails if customer needs did not inform the digital vision. Successful digital transformation implementation requires constant collaboration with current and potential customers. In general, a digitally transformed business model values meeting customer needs. Remember successful implementation of new technologies for digital transformation requires commitment of all major stakeholders. Keep stakeholders informed.

Digital transformation involves significant changes that result from applying digital technology in new ways in an organization. For some managers, the notion of digital transformation may be difficult and complex to document, explain, and communicate. This chapter suggests a number of ways to assess and increase the digital maturity of an organization. Complex technology innovations such as the Internet of Things (IoT), cloud computing and storage, radio frequency identifiers (RFID), blockchain, robotics, and mobile computing and telecommunications devices are often an integral part of an organization’s digital transformation strategy. Opportunities for artificial intelligence (AI) and machine learning (ML) in decision making are also often explored. Technologies for data collection, storage, management, transfer, and analysis are at the center of digital disruption. The following sections examine: (1) the distinctive features of digital transformation, (2) the role of data in digital transformation, (3) fundamentals of data visualization, (4) understanding data storytelling, and (5) using algorithms to turn data into actions.

Distinctive Features of Digital Transformation

Digital transformation looks different for every business. For some the primary focus is about finding new ways to leverage technological innovation, others identify customer engagement as a top priority for their digital transformation strategy, and some businesses focus on changing an existing business model. For a business, digital transformation may mean pursuing some or perhaps all of these activities.

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