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The Latest

11 May 2021: Jamf is a market leader in Apple iOS device management, with a strong presence in education. It has announced its intention to acquire the zero-trust end-point security vendor Wandera. 

Why it’s Important

Vendors in the device management have two options for continued growth: add new services and grow horizontally within their market (as in VMWare), or specialise in increasingly niche areas. Jamf has remained firmly entrenched in providing Apple device management, so it is a niche (though important) player in device management. Its acquisition of Wandera, hot on the heels of its purchase of Mondad, will broaden its base and help cement its position against the broader players. 

Who’s impacted

  • End user computing/digital workspace teams
  • Security teams

What’s Next?

Globally, the move to working from home saw an uplift in Apple products being connected to enterprise (work) environments. Citing IDC, Jamf reports the penetration of macOS in 2019 was around 17%, and during 2020 this increased to 23%. In addition, globally 49% of smartphones connecting to work environments remain iOS, though this is slightly lower in Australia, where Android has gained small market share in a tight market last year. 

The challenge with supporting a mixed device ecosystem (Windows, Android, macOS, iOS, Chrome) is now more than just securing the end-point, but the entire information ecosystem. VPNs in particular proved difficult to scale and adapt to a myriad of end points. The need to patch reliability and manage software also becomes significantly difficult due to differing rates of change, patch cycles and tools needed. 

Jamf’s acquisition of Wandera will not eliminate these challenges completely, but will at least simplify the Apple slice of the situation. 

Related IBRS Advisory

  1. Requirements Check-List for Mobile Device Management Solutions
  2. Embracing security evolution with zero trust networking

The Latest

Mid May 2021: Mulesoft detailed its new Connectors for SAP during an analyst’s briefing. The SAP connector is most interesting, since it aims to speed up the development of lightweight, agile customer-facing, online self-service capabilities, while building on the weighty (not exactly agile) capabilities of SAP.  

Mulesoft has out-of-box integrations (called connectors) for existing data sources including AWS, Google, GCP, Azure, Snowflake, Salesforce, Splunk, Stripe, Oracle, ServiceNow, Zendesk, Workday Jira, Trello, Azure, SAP, Microsoft Dynamics, etc. Mulesoft has identified 900 common enterprise applications, though only 28% of these have pre-existing integrations. Mulesoft states that on average 35 different apps are needed for a single customer-facing enterprise digital solution. Therefore, it is investing heavily in developing additional connectors for enterprise solutions, with at least 50 planned for release in 2021.

Why it’s Important

In late 2019 and early 2020, IBRS conducted a series of 37 detailed interviews with organisations that found organisations with ERP SaaS platforms supported by low-code workflows and integration, saw at least 3 times (and up to 10 times!) as many customer-facing services delivered annually as compared with on-premise solutions with traditionally managed API integrations. A recent series of 67 interviews confirms these findings.

During COVID-19, the big winners of the ‘prepackaged integration’ model (specifically, the model outlined in the 'Trends for 2021-2026: No New Normal and Preparing For the Fourth Wave of ICT'), were business-to-consumer organisations that quickly pivoted from a myriad of shopfront locations to digital stores in a matter of weeks. As Mulesoft has figured out, this is not just an issue of having the ability to integrate, but having a consolidated core of ERP capabilities to provide core data and processes, surrounded by a fabric of low-code application, workflow and integration services.

Who’s impacted

  • COO
  • CIO
  • Head of sales 
  • DevOps leads
  • Enterprise architects

What’s Next?

Organisations should consider how their current environment - including legacy ERP - can evolve to support the fourth wave of enterprise architecture. This will impact upgrade decisions for ERP and other enterprise applications, the selection of low-code application development and integration tools.  

Related IBRS Advisory

  1. Trends for 2021-2026: No New Normal and Preparing For the Fourth-wave of ICT
  2. Accelerating Remote Services Deployment

The Latest

May 2021: Talend, a vendor of data and analytics tools, released its Data Health Survey Report that claims 36% of executives skip data when making decisions, and instead go “with their gut”. At the same time, the report claims that 64% of executives “work with data everyday”. On the surface, these two figures seem at odds. However, the report goes on to claim 78% of executives “have challenges in making data drive decisions”, and this is largely due to data quality issues. However, the most interesting finding from the report is “those who produce and those who analyse data live in alternative data realities”.

Why it’s Important

At its core, this report highlights the issue of data literacy. The report was compiled from 529 responses from companies with over USD10 million in sales. A quarter of respondents were from the Asia Pacific region. However, IBRS cautions drawing Australia-specific inference, given that different markets have differing levels of data literacy maturity. No details were given for industry, which is also likely to impact data literacy maturity. In fairness, any more detailed analysis of a country or industry would not be feasible, given the sample size. 

The above concerns aside, the report does highlight the importance of data literacy: investments in big data tools are useless unless executives are knowledgeable and well versed in the key concepts of applying analytical thinking to business decisions. IBRS notes that without data literacy, the most common use of new self-service visualisation tools such as Power BI, Looker, Domo, Tableau, Qlik, Zoho and others, is to ‘prove’ executives' gut feelings. In short, too often visualisations tools are used to reinforce the ‘current ways of thinking’ rather than seek areas for improvement.  

The report’s statement that “those who produce and those who analyse data live in alternative data realities”, frequently underpins IBRS inquiries into why business intelligence and analysis programs fail to produce the expected business benefits.

Who’s impacted

  • Business intelligence/analytics teams
  • Senior line-of-business executives
  • Human resources/training teams

What’s Next?

ICT teams responsible for providing business intelligence and analytics services need to cease solely focusing on the tools and technologies and ‘getting data curated’, and spend time exploring which business decisions would most benefit from the application of analytical thinking. However, the ICT teams cannot do this alone. They need to be involved in uplifting data literacy among line-of-business executives and work closely with them to identify the decisions that not only can be addressed with data, but those that would make the biggest difference to organisational outcomes. This does not mean that all aspects of a data scientists role need to be explained to business executives. Rather, training executives in the principles of using data to inquire into issues or disprove current ways of doing things is more important.  

Related IBRS Advisory

  1. Staff need data literacy – Here’s how to help them get it
  2. When Does Power BI Deliver Power to the People?
  3. The critical link between data literacy and customer experience

The Latest

29 April 2021: Cloud-based analytics platform vendor Snowflake has received ‘PROTECTED’ status under IRAP (Australian Information Security Registered Assessors Program).  

Why it’s Important

As IBRS has previously reported, Cloud-based analytics has reached a point in cost of operation and sophistication that it should be considered the de facto choice for future investments in reporting and analytics. However, IBRS does call out that there are sensitive data sets that need to be governed and secured to a higher standard. Often, such data sets are the reasons why organisations decide to keep their analytics on-premises, even if the cost analysis does not stack up against IaaS or SaaS solutions.

The irony here is that IT professionals now accept that even without PROTECTED status, Cloud infrastructure provides a higher security benchmark than most organisations on-premises environments.

However, security must not be overlooked in the analytics space. Data lakes and data warehouses are incredibly valuable targets, especially as they can hold private information that is then contextualised with other data sets.

By demonstrating IRAP certification, Snowflake effectively opens the door to working with Australian Government agencies. But it also signals that hyper-scale Cloud-based analytics platforms can not only offer a bigger bang for your buck, but greatly improve an organisation's security stance.

Who’s impacted

  • CDO
  • Data architecture teams
  • Business intelligence/analytics teams
  • CISO
  • Public sector tech strategists

What’s Next?

Review the security certifications and stance of any Cloud-based analytics tools in use, including those embedded with core business systems, and those that have crept into the organisations via shadow IT (we are looking at you, Microsoft PowerBI!). Match these against compliance requirements for the datasets being used and determine if remediation is required.

When planning for an upgraded analytics platform, put security certification front and centre, but also recognise that like any Cloud storage, the most likely security breach will occur from poor configuration or excess permissions.

Related IBRS Advisory

  1. Key lessons from the executive roundtable on data, analytics and business value
  2. VENDORiQ: AWS Accelerates Cloud Analytics with Custom Hardware
  3. IBRSiQ: AIS and Power BI Initiatives
  4. VENDORiQ: Snowflakes New Services Flip The Analytics Model

The Latest

7 May 2021: Analytics vendor Qlik has released its mobile client Qlik Sense Mobile for SaaS. During the announcement, Qlik outlined how the new client enables both online and offline analytics and alerting. The goal is to bring data-driven decision-making to an ‘anywhere, anytime, any device’ model. 

Why it’s Important

While IBRS accepts that mobile decision support solutions will be of huge value to organisations, this needs to be tempered with an understanding that not all decisions should be made in all contexts. There is a very real danger that in the hype surrounding analytics, people will start making decisions in less than ideal contexts. Putting decision support algorithms (i.e. agents), KPI dashboards and simply modelling tools on mobile devices will likely be the next wave of analytics. In short, mobile big data/AI driven solutions that support specific, narrow mobile work tasks will be a very big deal in the near future.

However, creating and diving into data - that is, data exploration - is or should be, a process rooted in deep, careful, considered scientific thinking. That is a cognitive task that is not well suited to a mobile device experience. This is not just due to the form factor, but also the working context. Such deep thinking requires focus that a mobile work context does not provide.

As organisations embrace self-service analytics and more staff are engaged in creating and consuming visualisations and reports, data maturity will become an increasingly important consideration. However, data literacy is not just a set of skills to learn: it requires a change in culture and demands staff become familiar with rigorous models of thinking. It also requires honest reflection, both of the organisation’s activities and individually. 

While mobile analytics will be a growing area of interest, it will fail without a well-structured program to grow data literacy within the organisation and without granting staff the time and appropriate work spaces to reflect, explore and challenge their assumptions using data.

Who’s impacted

  • CDO
  • HR directors
  • Business intelligence groups

What’s Next?

Organisations should honestly assess staff data literacy maturity at a departmental and whole or organisation level. Armed with this information, a program to grow data literacy maturity can be developed. The deployment of data analytics tools, and indeed data sets, should coincide with the evolution of data literacy within the organisation. 

Related IBRS Advisory

  1. Staff need data literacy – Here’s how to help them get it
  2. When Does Power BI Deliver Power to the People?
  3. The critical link between data literacy and customer experience

The Latest

28 April 2021:  AWS has introduced AQUA (Advanced Query Accelerator) for Amazon Redshift, a distributed and hardware-accelerated cache that, according to AWS, “delivers up to ten times better query performance than other enterprise Cloud data warehouses”.

Why it’s Important

AWS is not the only vendor that offers distributed analytics computing. Architectures from Domo and Snowflake both make use of elastic, distributed computing resources (often referred to as nodes) to enable analytics over massive data sets. These architectures not only speed up the analytics of data, but also provide massively parallel ingestion of data. 

By introducing AQUA, AWS has added a layer of specialised, massively parallel and scalable cache over its Redshift analytics platform. This new layer comes at a cost, but initial calculations suggest it is a fraction of the cost of deploying and maintaining traditional big data analytics architecture, such as specialised BI hyperconverged appliances and databases.

Given the rapid growth in self-service data analytics (aka citizen analytics) organisations will face increasing demands to provide analytics services for increasing amounts of both highly curated data, and ‘other’ data with varied levels of quality. In addition, organisations need to consider a plan for rise in non-structured data. 

As with email, we have reached a tipping point in the demands of performance, complexity and cost where Cloud delivered analytics outstrip on-premises in most scenarios. The question now becomes one of Cloud architecture, data governance and, most important of all, how to mature data literacy across your organisation.

Who’s impacted

  • Business intelligence / analytics team leads
  • Enterprise architects
  • Cloud architects

What’s Next?

Organisations should reflect honestly on the way they are currently supporting business intelligence capabilities, and develop scenarios for Cloud-based analytics services. 

This should include a re-evaluation of how adherence to compliance and regulations can be met with Cloud services, how data could be democratised, and the potential impact on the organisation. BAU cost should be considered, not just for the as-in state, but also for a potential future states. While savings are likely, such should not be the overriding factor: new capabilities and enabling self-service analytics are just as important. 

Organisations should also evaluate data literacy maturity among staff, and if needed (likely) put in place a program to improve staff’s use of data.

Related IBRS Advisory

  1. IBRSiQ: AIS and Power BI Initiatives
  2. Workforce transformation: The four operating models of business intelligence
  3. Staff need data literacy – Here’s how to help them get it
  4. The critical link between data literacy and customer experience
  5. VENDORiQ: Fujitsu Buys into Australian Big Data with Versor Acquisition

The Latest

29 April 2021: Microsoft briefed analysts on its expansion of Azure data centres throughout Asia. By the end of 2021, Microsoft will have multiple availability zones in every market where it has a data centre.

The expansion is driven in part by a need for additional Cloud capacity to meet greenfield growth. Each new availability zone is, in effect, an additional data centre of Cloud services capability.

However, the true focus is on providing existing Azure clients with expanded options for deploying services over multiple zones within a country.  

Microsoft expects to see strong growth in organisations re-architecting solutions that had been deployed to the Cloud through a simple ‘lift and shift’ approach to take advantage of the resilience granted by multiple zones. Of course, there is a corresponding uplift in revenue for Microsoft as more clients take up multiple availability zones.

Why it’s Important

While there is an argument that moving workloads to Cloud services, such as Azure, has the potential to improve service levels and availability, the reality is that Cloud data centres do fail. Both AWS and Microsoft Azure have seen outages in their Sydney Australia data centres. What history shows is organisations that had adopted a multiple availability zone architecture tended to have minimal, if any, operational impact when a Cloud data centre goes down.

It is clear that a multiple availability zone approach is essential for any mission critical application in the Cloud. However, such applications are often geographically bound by compliance or legislative requirements. By adding additional availability zones within countries throughout the region, Microsoft is removing a barrier for migrating critical applications to the Cloud, as well as driving more revenue from existing clients.

Who’s impacted

  • Cloud architecture teams
  • Cloud cost / procurement teams

What’s Next?

Multiple available zone architecture can be considered on the basis of future business resilience in the Cloud. It is not the same thing as ‘a hot disaster recovery site’ and should be viewed as a foundational design consideration for Cloud migrations.

Related IBRS Advisory

  1. VENDORiQ: Amazon Lowers Storage Costs… But at What Cost?
  2. Vendor Lock-in Using Cloud: Golden Handcuffs or Ball and Chain?
  3. Running IT-as-a-Service Part 49: The case for hybrid Cloud migration

IBRSiQ is a database of Client inquiries and is designed to get you talking to our advisors about these topics in the context of your organisation in order to provide tailored advice for your needs.


Read more


IBRSiQ is a database of Client inquiries and is designed to get you talking to our advisors about these topics in the context of your organisation in order to provide tailored advice for your needs.


Read more


The Latest

09 April 2021: During its advisor business update, Fujitsu discussed its rationale for acquiring Versor, an Australian data and analytics specialist. Versor provides both managed services for data management, reporting and analytics. In addition, it provides consulting services, including data science, to help organisations deploy big data solutions.

Why it’s Important

Versor has 70 data and analytics specialists with strong multi-Cloud knowledge. Fujitsu’s interest in acquiring Versor is primarily tapping Versor’s consulting expertise in Edge Computing, Azure, AWS and Databricks. In addition, Versor’s staff have direct industry experience with some key Australian accounts, including public sector, utilities and retail, which are all target sectors for Fujitsu. Finally, Versor has expanded into Asia and is seeing strong growth. 

So from a Fujitsu perspective, the acquisition is a quick way to bolster its credentials in digital transformation and to open doors to new clients. 

This acquisition clearly demonstrates Fujitsu’s strategy to grow in the ANZ market by increasing investment in consulting and special industry verticals.  

Who’s impacted

  • CIO
  • Development team leads
  • Business analysts

What’s Next?

Given its experienced staff, Versor is expected to lead many of Fujitsu’s digital transformation engagements with prospects and clients. Fujitsu’s well-established ‘innovation design engagements’, are used to explore opportunities with clients and leverage concepts of user-centred design. Adding specialist big data skills to this mix makes for an attractive combination of pre-sales consulting.

Related IBRS Advisory

  1. The new CDO agenda
  2. Workforce transformation: The four operating models of business intelligence
  3. VENDORiQ: Defence Department Targets Fujitsu for Overhaul

The Latest

16 April 2021: BMC has released a new edition of its Helix Platform, which leverages machine learning algorithms to support AI-driven IT operations (AIOps) and AI-driven service management (AISM) capabilities. The introduction of these algorithmic features enable IT service and operations teams to predict and resolve issues more effectively.

Why it’s Important

The use of algorithms to both categorise and predict events in IT operations is a growing trend. Such AI capabilities will be increasingly embedded in existing IT operations suites. As vendors enter a new ‘AI-powered’ competitive phase, these new AI capabilities will be included as part of regular upgrades and maintenance, rather than as add-on components.

Getting value from the new AI capabilities requires planning very human responses.  

For example, the predictive capabilities of algorithms, especially when using multi-organisational data, can provide op teams with alerts well in advance of problems becoming apparent. But unless op teams are resourced and given budget to respond to such ‘predictive maintenance’ issues, these predictive capabilities will be relegated to little more than an alarm clock with a snooze button. 

Likewise, the ability to correctly leverage and continually train advisory from resolution support algorithms, will demand both training of, and input from, the support team. The algorithms are only as good as the information and the contexts they can draw on. Support team people play an intimate role in ensuring the right information is selected for training the algorithm and, most importantly, the right contexts. This is especially pertinent as virtual agents (chatbots) are introduced for self-help capabilities.

Who’s impacted

  • CIO
  • IT operations staff
  • Support desk

What’s Next?

Begin to track the new AI capabilities available in IT operations support platforms, not just for the platforms used by your organisation, but in the competitive landscape. While there is no critical priority to adopt AI-powered IT operations or service management capabilities (just yet), it is important to understand what is coming and what may already be available as part of your current licensing agreements.

Assemble a working group to explore how AI capabilities could positively impact IT operations and service management, and the changes in process and roles that would be required to leverage them.

In short, start planning for AI-powered operations and a service management future.

Related IBRS Advisory

  1. Running IT-as-a-Service Part 55: IBRS Infrastructure Maturity Model
  2. Sustaining efficiency gains demands architecture risks mitigation Part 2
  3. Artificial intelligence Part 3: Preparing IT organisations for artificial intelligence deployment
  4. IBRSiQ: Approach to identifying an ITSM SaaS Provider

The Latest

18 March 2021: Veeam released a report which suggests that 58% of backups fail. After validating these claims, and from the direct experiences of our advisors who have been CIOs or infrastructure managers in previous years, IBRS accepts there is merit in Veeam’s claim.

The real question is, what to do about it, other than buying into Veeam’s sales pitch that its backups give greater reliability?

Why it’s Important

Sophisticated ransomware attacks are on the rise. So much so that IBRS issued a special alert on the increasing risks in late March 2021. Such ransomware attacks specifically target backup repositories. This means creating disconnected, or highly-protected backups is more important than ever. The only guarantee for recovery from ransomware is a combination of well-structured backups, coupled with a well-rehearsed cyber incident response plan. 

However, protecting the backups is only useful if those backups can be recovered. IBRS estimates around 10-12% of backups fail to fully recover, which is measuring a slightly different, but more important situation than touted by Veeam. Even so, this failure rate is still far too high, given heightened risk from financially-motivated ransomware attacks.

Who’s impacted

  • CIO
  • Risk Officers reporting to the board
  • CISCO
  • Infrastructure leads

What’s Next?

IBRS has identified the ‘better-practice’ from backup must include regular and unannounced, practice runs to recover critical systems from backups. These tests should be run to simulate as closely as possible to events that could lead to a recovery situation: critical system failures, malicious insider and ransomware. Just as organisations need to rehearse cyber incident responses, they also need to thoroughly test their recovery regime. 

Related IBRS Advisory

  1. Maintaining disaster recovery plans
  2. Ransomware: Don’t just defend, plan to recover
  3. Running IT-as-a-Service Part 59: Recovery from ransomware attacks
  4. Ransomware, to pay or not to pay?
  5. ICT disaster recovery plan challenges
  6. Testing your business continuity plan

The Latest

28 March 2021: MaxContact, vendor of a Cloud-based call-centre solution, announced it is supporting integration of Teams clients. Similar vendors of call centre solutions have announced or are planning similar integration with Teams and/or Zoom. In effect, the most common video communications clients are becoming alternatives to voice calls, complete with all the management and metrics required by call centres. 

Why it’s Important

The pandemic has forced working from home, which has in turn positioned video calling as a common way to communicate. There is an expectation that video calling, be it on mobile devices, desktop computers or built into televisions, will become increasingly normalised in the coming decade. Clearly call centres will need to cater for clients who wish to place calls into the call centre using video calls.

But there is a difference between voice calls and video that few people are considering (beyond the obvious media).  That is, timing of video calls is generally negotiated via another media: instant messaging, calendaring, or meeting invites. In contrast, the timing for voice calls are far less mediated, especially when engaging with call centres for service, support or sales activities.

For reactive support and services, video calls between a call centre and a client will most likely be a negotiated engagement, either instigated via an email or web-based chat agent. Cold-calling and outward bound video calls is unlikely to be effective.

The above has significant implications for client service and support processes and call centre operations.

Who’s impacted

  • CIO
  • Development team leads
  • Business analysts

What’s Next?

The adoption of video calls by the masses is here to stay. Video calling is not a fad, but it will take time to mature. 

Having video support and services available as part of the call centre mix is likely to be an advantage, but only if its use makes sense in the context of the tasks and clients involved.  

Organisations should begin brainstorming the potential usage of video calls for serving. However, adding video calling to the call centre is less of a priority than consolidating a multi-channel strategy and, over time, an omnichannel strategy.  

Related IBRS Advisory

  1. Better Practice Special Report: Microsoft Teams Governance
  2. Evolve your multichannels before you try to omnichannel
  3. VENDORiQ: CommsChoice becomes Australia's first vendor of Contact Centre for Microsoft Teams Direct Routing

The Latest

28 March 2021: AWS has a history of periodically lowering the costs of storage. But even with this typical behaviour, its recent announcement of an elastic storage option that shaves 47% off current service prices is impressive. Or is it?

The first thing to realise is that the touted savings are not apples for apples. AWS’s new storage offering is cheaper because it resides in a single-zone, rather than being replicated across multiple zones. In short, the storage has a higher risk of being unavailable, or even being lost by an outright failure. 

Why it’s Important

AWS has not hidden this difference. It makes it clear that the lower cost comes from less redundancy. Yet this architectural nuance may be overlooked when looking at ways to optimise Cloud costs.

One of the major benefits of moving to Platform-as-a-Service offerings is the increased resilience and availability of the architecture. Cloud vendors, including AWS, do suffer periodic failures within zones. Examples include the AWS Sydney outage in early 2020 and the Sydney outage in 2016 which impacted banking and e-commerce services.  

But it is important to note that even though some of Australia’s top companies were effectively taken offline by the 2016 outage, others just sailed on as if little had happened. The difference is how these companies had leveraged the redundancies available within Cloud platforms. Those that saw little impact to operations when the AWS Sydney went down had selected redundancies in all aspects of their solutions.

Who’s impacted

  • Cloud architects
  • Cloud cost/contract specialists
  • Applications architects
  • Procurement leads

What’s Next?

The lesson from previous Australian AWS outages is that organisations need to carefully match the risk of specific application downtime. This new announcement shows that significant savings (in this case 47%) are possible by accepting a greater risk profile. However, while this may be attractive from a pure cost optimisation/procurement perspective, it also needs to be tempered with an analysis of the worst case scenario, such as multiple banks being unable to process credit card payments in supermarkets for an extended period.

Related IBRS Advisory

  1. VENDORiQ: AWS second data centre in Australia
  2. Post COVID-19: Four new BCP considerations
  3. Running IT-as-a-Service Part 55: IBRS Infrastructure Maturity Model