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The growing maturity of data handling and analytics is driving interest in data catalogues. Over the past two years, most of the major vendors in the data analytics field have either introduced or are rapidly evolving their products to include data cataloguing.
Data catalogues help data users identify and manage their data for processing and analytics. Leading data cataloguing tools leverage machine learning (ML) and other search techniques to expose and link data sets in a manner that improves access and consumability.
However, a data catalogue is only beneficial when the organisation already has a sufficient level of maturity in how it manages data and analytics. Data literacy (the skills and core concepts that support data analytics) must also be established in the organisation’s user base to leverage full benefits from the proposed data catalogue.
Organisations considering data catalogues must have a clear picture of how to use this new architecture, and be realistic in how ready they are to leverage the technology. Furthermore, different organisations have unique and dynamic data attributes, so there is no one-type-fits-all data catalogue in the marketplace.
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Whilst many enterprises have successfully implemented a bring your own device (BYOD) mobile policy, many have put this in the too-hard basket fearing a human resources (HR) backlash.
Revisiting the workplace mobile policy can reduce operating costs associated with device loss, breakages, and unwarranted device allocation. IT service delivery operating costs have been increasing annually as more sophisticated and expensive handsets hit the market. Meanwhile, mobile applications are creating increased security concerns which add to asset management and monitoring costs.
Now is the time to take stock and transform the organisation’s mobility space by creating a shared responsibility with staff. Mobile phone allowances are fast becoming the norm with a multitude of different models now being adopted. Choose the one that delivers cost savings across the board as there are both direct and indirect costs associated with each option.
20 March 2021: GorillaStack has released capabilities that allows it to monitor and apply governance rules to any external service that communicates with AWS EventBridge.
Why it’s Important
GorillaStack is one of the earliest vendors to address the complexities of Cloud cost management, having started in Australia in 2015 and moved to having strong growth in the international market. In May 2020, GorillaStack was acquired by the switzerland-based SoftwareOne.
Like its international competitors, GorillaStack moved from helping organisations monitor and optimise their Cloud spend, to monitoring the Cloud ecosystems for performance and security concerns. This recent announcement suggests that the next phase of growth for organisations in the Cloud cost optimisation space is not only to detect events in Cloud infrastructure, but also external services, and then apply rules to perform specific actions on those events. Such rules can not only automatically help reduce Cloud spend by enforcing financial governance directly into the Cloud infrastructure, but also helping to enforce security rules.
Cloud cost optimisation is already an important discipline for organisations with mature Cloud teams. Like software asset management (SAM), tools alone will not see organisations optimise their expenditure on Cloud services. An understanding of the disciplines required and setting up appropriate rules is needed. In addition, IBRS notes that many less-mature organisations have a ‘sprawl’ of Cloud services that need to first be identified and then reigned in before cost optimisations products can be fully effective.
Related IBRS Advisory
5 December 2020: Australian education solution vendor Tribal, has upgraded its digital learning design chatbot. The move is illustrative of how chatbots can be leveraged to aid complex tasks - in this case, learning content, delivery, and leaner coaching.
Chatbots are not unique to Tribal. However, Tribal is demonstrating how such agents can deliver new capabilities into the LMS market, which can be glacial in the adoption of innovation. The Tribal chatbot is aimed at improving knowledge transfer inside an organisation. It assists domain experts to build learning content and share knowledge by recommending approaches to online training.
Like most forms of AI, chatbots will make their way into organisations through their addition to existing software solutions, either via paid upgrades or as part of the ongoing improvements of SaaS solutions. Chatbots will increasingly act in an advisory manner or as a guide for complex processes inherent in the vendors’ solutions.
As a result of this trend, staff will be presented with a growing number of chatbots embedded in different vendor’s solutions, each serving a specific purpose. This itself will present a new challenge for digital maturity and staff satisfaction.
2 December 2020: Salesforce Einstein is being extended into the Mulesoft automation and data integration platform. The newly announced Flow Orchestrator enabled non-technical staff to transform complex processes into industry-relevant events. The new AI-assisted MuleSoft Composer for Salesforce will allow an organisation to integrate data from multiple systems, including third-party solutions.
AI enables business process automation as a key technology enabler that favours organisations with a Cloud-first architecture. Salesforce will leverage its experience and connections with selling to organisation’s non-IT executives to secure a strong ‘brand leadership’ position in this space.
In mid-2019, IBRS noted a significant upswing in interest in Mulesoft and integration technologies more broadly from the non-ICT board-level executives. In particular, COOs and CFOs expressed strong interest in, and awareness of, process automation through APIs.
Digging deeper, IBRS finds that Salesforce account teams, who are well-known for bypassing the CIO and targeting senior executive stakeholders, are also bringing Mulesoft into the business conversation. Also, Microsoft is expected to double-down on AI-enabled business process automation with the PowerPlatform.
As a result, the addition of Salesforce Einstein AI into the discussion of automation and integration is expected to land very well with COOs and CFOs.
CIOs need to be ready to have sophisticated discussions with these two roles regarding the potential for AI in process automation. Expectations will be high. Understanding the possible challenges of implementing such a system takes careful consideration. CIOs should be ready to build a business case for AI-enabled business process automation.
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