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Conclusion: Agile approaches are being applied to a wide range of projects and activities within organisations including infrastructure upgrade projects of known tools and devices and across existing customer bases. Focusing on the technology elements and progressing quickly to build and test can uncover blind spots due to a high degree of familiarity and assumptions. Areas such as stakeholder engagement, vendor management, integration and the need for discovery and design can be glossed over as it is assumed that most of the details are known. The result is a discovery and gaps are discovered at the end of the test phase, just prior to release or even after release to production.

Conclusion: Email is one of the most pervasive IT applications spread throughout organisations of all sizes. It is hard to imagine any employee in any organisation not having an email account. It is critical that all organisations have a formal Email Policy that clearly spells out what every employee’s responsibilities are in terms of usage of their email accounts, as well as what is not allowed or inappropriate usage. Additionally, the use of social platforms (for example, LinkedIn, Facebook and Instagram) has given rise to the need for organisations to also have policies that incorporate acceptable and unacceptable usage of social platforms, especially in terms of representing the organisation.

It is also important to establish guidelines for the expected etiquette and best practices around email and social platform usage; for example, when not to use email when another form of communication would be more effective, such as a phone call or conducting a meeting.

It should not be assumed that all employees know what is expected of them in terms of usage of these platforms, or how best to manage the information they handle every day.

Conclusion: The aim of IBRS’s CRM modernisation series of advisory papers is to help organisations create a contemporary CRM strategy, not to advocate for specific solutions. Many organisations are considering two powerful players in the CRM space as part of their modernisation efforts: Salesforce and Microsoft. These two vendors are the most encountered local players when talking about CRM systems at the high end of the market.

We have selected these two vendors to illustrate the nuances in the pricing structure for licensing and total costs of services.

Comparing the two vendors’ solutions is complicated by the fact that each packages different aspects of the modern CRM in different modules, and prices them in different ways. This paper strives to provide clarity for organisations attempting to evaluate the two solutions. More importantly, it is an example of how the ‘devil is in the detail’ when it comes to total cost of service of SaaS-based solutions.

This document provides a template of specifications and requirements for a modern CRM, categorised by several key areas

Conclusion: With Software-as-a-Service (SaaS) deployments the fastest growing and most deployed Cloud service globally, particular attention should be given to evaluation and selection approaches that align to the solution being selected. When evaluating SaaS solutions, greater confidence in the applicability and value of a solution can be gained via a rapid demonstration and trial-based evaluation versus the same level of time and cost committed to a full request for proposal (RFP) process.

Conclusion: Despite market hype around the role of data scientists and in-house developers for the successful exploitation of artificial intelligence (AI), organisations are increasingly looking to their vendor partners to provide ready-made solutions. Both business and technology leaders are expecting solutions to be based on the vendor’s ability to leverage their customer base across various industries to create AI features such as machine learning models.

Vendors are responding by increasingly incorporating these features into their offerings, along with a new breed of vendors that are producing pre-trained or baseline machine learning models for common use cases for specific industries.

However, organisations must be prepared to contribute to this AI product development or continuous improvement process which in practical terms means giving major vendors access to data. Without access to good data the result will be sub-optimal for both parties.

Conclusion: The three largest service providers in Australia for mobile phone services, Telstra, Optus and Vodafone, have all committed to providing 5G networks. 2019 has seen the introduction of 5G networks and devices; however, the coverage is still limited. Initial coverage by the service providers will focus on areas with the highest population density, providing coverage to a greater number of potential users. In 2019, it is estimated that coverage should be available to about 4 million potential subscribers.

The jump in speed and reduction in network latency will open up opportunities for new services and customer experiences that would not be practical using existing 3G or 4G networks. There is a large potential economic upside and organisations should be planning for future use cases.

Conclusion: The ubiquitous availability of smartphone and wearable technology has opened up opportunities for a wide range of new applications that take advantage of knowing the location and proximity of these devices.

One of the newer underlying technologies that enable these new apps are low-cost small beacons that provide regular transmissions, usually to Bluetooth-enabled devices. When working on digital transformation projects or opportunities to innovate, these technologies should be included in the developer’s tool bag.

Conclusion: Globally, organisations are dealing with the challenges of “digital transformations” and the need to “innovate”. Chief information officers (CIOs) need to support their organisations in these initiatives, but the ownership in defining what is required rests with the business managers, and the key executives such as the chief marketing officers, chief supply chain officers, chief human resources officers and chief executive officers. If the organisation has one, chief technology officers would be a contributor in terms of how technology can be included in innovation initiatives.

CIOs need to be valued as trusted advisors to the business leaders in terms of what technology solutions will support their businesses’ initiatives.

Conclusion: Increasingly, leaders in the field of AI adoption are calling out the limitations of the current machine learning techniques as they relate to knowledge representation and predictive analysis.

Organisations seeking to adopt machine learning as part of their AI-enabled transformation programs should ensure they fully understand these limitations to avoid unproductive investments driven by hype rather than reality by expanding their definitions of machine learning to include the use of graph networks and social physics solutions.

Related Articles:

"Machine learning will displace “extract, transform and load” in business intelligence and data integration" IBRS, 2018-02-01 10:03:37

"Prepare to manage the “evolution” of AI-based solutions with “DataOps”" IBRS, 2018-03-31 06:43:42

"Preparing for the shift from digital to AI-enabled transformation" IBRS, 2018-06-01 04:10:21

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