I did not count anymore, but I believe it is the third or fourth year in a row, analytics and
business intelligence are ranked in the top 3 priorities of a CIO. You as analytics-friends believe: “ah good news, the attention is all ours”. But is that correct? One could easily state that the CIO, his BICC and all his analytics resources have failed, since apparently you didn’t do your job. Otherwise analytics wouldn’t be in the top 3 anymore, …. or ..?
In fact there is a few good reasons why analytics remains in the top priority list. One of them is called Digital Transformation:
Digital Transformation to a big extend is dependent on analytics to when it comes to get value out of changed or new business models
The vast majority of Digital Transformation initiatives is driven by analytics. Think of the Internet of Things or the countless bigdata projects
To quicker respond and adapt to business performance, more and more enterprises start using the closed loop portfolio. This closed loop leverages all aspects of analytics, tightly integrating business intelligence, planning, predictive analytics and risk & compliance.
But there is more. CIO’s start adopting Bimodal IT. Driven by the digital economy CIO’s need to act more agile towards business while – in parallel – respecting and maintaining their traditional way of delivering reliable and stable information systems. The agility comes from the business centric approach and strongly focuses on connecting resources, insights and business models.
Digital Transformation requires Bimodal IT
Bimodal IT is the practice of managing two separate, coherent modes of IT delivery, one focused on stability and the other on agility. Mode 1 is traditional and sequential, emphasizing safety and accuracy. Mode 2 is exploratory and nonlinear, emphasizing agility and speed.
Surveys genuinely agree that Bimodal is the preferred approach for a CIO to deliver better digital performance. CIOs have long recognized the power of platform approaches to information and technology architecture. What’s different now is that new digital opportunities and evolving threats, including new commercial and ethical challenges, reveal that platform dynamics need to penetrate all aspects of the business. And one of the most important aspects happens to be business analytics and business intelligence.
Bimodal IT breathes agility and business centric approach: analytics as a service
The second mode of Bimodal IT is new and interesting. The key words here are agility, customer experience and business centricity. And it is exactly these elements that drive analytics again to the top of the CIO’s priority list. No wonder:
The agility towards IT management and Digital Transformation requires enterprises to really quickly respond to change. To judge, adapt and value this change, immediate insights are needed. Insights, which are created by analytics. The agility here should be seen in its widest framework: take also into account that Digital Transformation for the CIO means working with constantly changing small teams. These teams require the analytics as a service-product they can use as needed.
In previous blogs I explained the importance of customer experience as part of digital transformation. The focus is on a contextualized and personalized experience for the customer. And again business analytics play a key role here. Initially B2C – but soon B2B – customers want personalized and tailored information in real-time any place anywhere, as part of their user experience.
Todays Bimodal CIO drives his architectures based up business centricity. Business priorities guide IT priorities; business direction and strategy guide IT direction and strategy. This is the only way to adapt to Digital Transformation and its accompanying initiatives. Business is crystal clear: they require analytics that is easy to use, agile towards data blending and visualizations, but yet still governed to a certain extend.
Buffet model: Analytics as a service-product
The above will need the CIO to work with analytics in an adapted way. Analytics needs to be offered as a service-product that the business or instant project teams simply adapt and consume. To be successful the analytics capabilities should be extremely agile yet still respecting the core of data governance (delivered through mode 1 of Bimodal IT). Personally I believe this can be done using a kind of analytics-buffet.
The analytics-buffet might serve following components:
Governed self-service storyboards on key domains of corporate data
Governed self-service datasets on key domains of corporate data
Governed managed dashboards for online data exploration on key domains of corporate data
Governed ready-to-use analytical views and/or semantic layers on the in-memory corporate systems for performing operational BI and allow to blend with non-corporate data