Data Governance

ICT executives and data analytics specialists are facing ever-increasing demands from business stakeholders. Driven by vendors’ promises of agile, self-service analytics and instant access to big data, business stakeholders expect the world, while concerns of governance and data quality are often overlooked.

In this webinar replay, IBRS explores the growing tension between business stakeholders expectations and the ICT group’s ability to provide appropriate guardrails for analytics.

The video explores:

  • How the concerns of business stakeholders differ from those of ICT
  • The four operating models of business intelligence
  • The emergence of data mesh architecture, and the potential impact
  • Using data literacy maturity to drive an evolving and practical data strategy

Download the presentation kit:  Business-First_Analytics_Webinar.pdf

 

Regardless of its digital strategy, many organisations have not been positioned to properly leverage the digital and data assets that are available to them. A Chief Data Officer (CDO) role can improve this situation by advancing an organisation’s data portfolio, curating and making appropriate data visible and actionable.

Log in and click the PDF link above to download 'The New CDO Agenda' presentation kit and discover:

  • 4 pivotal points of the CDO agenda
  • A sample framework on how to understand the ownership of a data domain
  • Next steps for your organisation

Too often, information communications technology (ICT) and business analytics groups focus on business intelligence and analytics architectures and do not explore the organisational behaviours that are required to take full advantage of such solutions. There is a growing recognition that data literacy (a subset of digital workforce maturity) is just as important, if not more important, than the solutions being deployed. This is especially true for organisations embracing self-service analytics.

The trend is to give self-service analytics platforms to management that are making critical business decisions. However, this trend also requires managers to be trained in not just the tools and platforms, but in understanding how to ask meaningful questions, select appropriate data (avoiding bias and cherry-picking), and how to apply the principles of scientific thinking to analysis.

Download the pdf now.

Staff_Need_Data_Literacy_Presentation_Kit_-_IBRS.pdf

 

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

IBRS interviews Dr Kevin McIsaac, a data scientist who frequently works with board-level executives to identify and prototype powerful data-driven decision support solutions.

Dr McIsaac discusses why so may 'big data' efforts fail, the role ICT plays (or rather, should not play) and the business-first data mindset.

Conclusion

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.

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

11 March 2021: Talend, a big data / data integration solutions vendor, has signed an MOU to be acquired by private equity giant Thomas Bravo for US$2.4 billion, representing a nearly 30% premium on its current share price. 

Why it’s Important

Talend has been aggressive with the development of its solutions in the last few years, in particular in the area of managing data quality. During one-on-one briefings with IBRS, the company has demonstrated considerable flexibility in its roadmap and the willingness, and agility, to take cues of the emerging needs of clients.

Conventional wisdom is that once tech firms get subsumed by private equity, innovation declines as business drive turns to ‘rent seeking’ behaviour. This is especially true for funds that have a portfolio of well-established (legacy) technologies. A review of Thomas Bravo’s current and prior investments places Talend in a fund that previously held the likes of Attachmate and Compuware. Attachmate (now owned by Micro Focus) was seen to be aggressive with audits during the period it was owned by Thomas Bravo. On the surface, this could be cause for concern about the future direction of Talend.  

However, there are significant differences. Talend has a growing user base, is positioned in a market segment that is still evolving and has at least a decade of product innovation to come.  

Who’s impacted

  • CIO
  • Business intelligence / big data teams
  • Data management leads
  • Procurement 

What’s Next?

Over the next half-decade, an acquisition of Talend by Thomas Bravo is likely to deliver a continued commitment to market-led innovation. There is enough head-room for the fifteen-year old Talend to continue deploying new capabilities at pace that keeps clients happily buying more services.  

However, as the market for big data management solutions matures - especially shared data catalogues - pressure may start to mount for Talend to refocus on extracting more revenue from clients with proportionally less investment in development. Yes, that is a worst-case scenario, and it is not unique to Talend nor its deal with Thomas Bravo.  

Even so, organisations looking to invest in big data management solutions need to be viewing their investment futures over a decade. Such solutions quickly become fundamental platforms for the business and will be difficult (and expensive) to replace as they become increasingly embedded. Keep the long-term scenario in mind. 

Related IBRS Advisory

  1. Power BI is driving data democratisation: Prepare now
  2. Why investing in data governance makes good business sense
  3. Key lessons from the executive roundtable on data, analytics and business value
  4. Machine learning will displace “extract, transform and load” in business intelligence and data integration
  5. IBRSiQ: Can IBRS provide input into suitable reporting systems using primarily in-system data, but not excluding third party?

Conclusion:

Fear of missing out (FOMO) drives information and communication technology (ICT) leaders to look at new ICT applications with the promise of greater benefits. Many organisations then fail to maximise the value of their existing applications and Power BI is no exception. Hidden under a Microsoft enterprise agreement, organisations and staff are often unaware of Power BIs full capabilities.

Excel still remains a default position for most data analytics. The main reason is familiarity and flexibility to construct, but it has limited access to data warehouses making it less efficient as a business intelligence (BI) tool. Complex problems require multiple spreadsheets to capture and analyse data from multiple sources. Changes are often tedious and time-consuming.

To generate meaningful business insights, ICT leaders need to initiate the use cases and upskill staff with BI tools such as Power BI which are capable of agility and real-time value add.

Australian businesses expecting the hassles of the COVID-19 pandemic to vanish in 2021 are in for a rude shock, according to business analyst firm IBRS, which as also released a new report on the future of the IT space. The firm's 'Future of Work' expert, and IBRS advisor, Dr. Joseph Sweeney said improvements in IT departments were required because customer organisations will remain threatened by sporadic coronavirus incidents for some time yet.

The IBRS report, titled Trends for 2021-2026: No new normal and preparing for the fourth-wave of ICT, outlines misconceptions businesses have regarding the timeline of the pandemic and that a new, fourth-wave of ICT architecture is emerging in response to the challenges that will linger after the vaccine rollout.

Full story.

Conclusion:

Thinking that the pandemic will soon be past and some form of new normal will emerge, be it working from home or office work, or a hybrid mix - is a misconception. Even with a vaccine, the pandemic will continue in isolated, difficult to predict pockets, and cause sporadic rapid changes to work practices for the foreseeable future. Organisations will need to be able to quickly flip-flop work environments rapidly, and work processes - and thus technologies - must evolve to meet the challenges of the 'age of uncertainty'. A fourth-wave of ICT architecture is emerging, with a focus on information over architecture, low-code everything and powered by algorithms.

Find attached at the bottom of the article a free downloadable PDF copy of the trends for 2021-2026 executive presentation deck.

Conclusion:

Too often, information communications technology (ICT) and business analytics groups focus on business intelligence and analytics architectures and do not explore the organisational behaviours that are required to take full advantage of such solutions. There is a growing recognition that data literacy (a subset of digital workforce maturity1) is just as important, if not more important, than the solutions being deployed. This is especially true for organisations embracing self-service analytics2.

The trend is to give self-service analytics platforms to management that are making critical business decisions. However, this trend also requires managers to be trained in not just the tools and platforms, but in understanding how to ask meaningful questions, select appropriate data (avoiding bias and cherry-picking), and how to apply the principles of scientific thinking to analysis.

Conclusion: Regardless of its digital strategy, many organisations have not been positioned to properly leverage the digital and data assets that are available to them. A Chief Data Officer (CDO) role can improve this situation by advancing an organisation’s data portfolio, curating and making appropriate data visible and actionable.

The CDO position is appropriate for all larger organisations, and small-to-large organisations focused on data-driven decision-making and innovation. These organisations benefit from a point person overseeing data management, data quality, and data strategy. CDOs are also responsible for developing a culture that supports data analytics and business intelligence, and the process of drawing valuable insights from data. In summary, they are responsible for improving data literacy within the organisation.

Conclusion:

As cyber security breaches are now an almost daily occurrence for organisations, a serious breach is a question of when rather than if. Dealing with security breach not only impacts the organisation’s operations but more importantly, it poses a threat to its image and credibility.

Responses to breaches often focus on recovering business operations, systems, and data, while the response to impacted stakeholders takes a lower priority. However, it is this response that is at the core of protecting the organisation’s brand.