EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Are you wondering why many organization’s continuous improvement initiatives aren’t working? People must have a rational understanding of how small improvements compound to make big differences. And they must have enough confidence in their colleagues to believe that the organization is capable of making progress.
Experienced senior executive, both at a strategic and operational level, with strong track record in developing, driving and managing business improvement, development and change management. I’ve been passionate about analytics for over twenty years – but my head is still spinning with the amount of change currently going on in the analytics industry. According to Gartner’s latest CIO survey, the top business priority is back to enterprise growth, and analytics and business intelligence remains the number one technology priority for 2013.
Thanks to greater industry maturity and new technology opportunities, most organizations are making steps from Descriptive Analytics (“what happened?”) and Diagnostic Analytics (“why did it happen?”) towards Predictive Analytics (“what will happen”) – with Prescriptive Analytics (“how can we make it happen”) as the next frontier.
In-memory computing is providing an opportunity to rethink information systems from scratch.
For forty years, operational systems and analytic systems have been separate because of technology limitations.
In addition to traditional “transaction data”, it’s now feasible to analyze “interaction data” (events before, after, and around a transaction, such as the products that were considered but then not purchased) and “observation data” (such as data streamed from sensors). Analytics is no longer an afterthought to your transaction systems — it’s the heart of your future information infrastructure. SAP is working on this vision with the “real time data platform”, combining SAP HANA with Hadoop, Sybase ASE, Sybase IQ, Sybase ESP – and (crucially) end-to-end information governance. Today’s information consumers demand the same ease-of-use and immediate access they get in the consumer world.
As the technology gets more and more powerful, it becomes even more important to fix one of the oldest and least tractable barriers to successful BI: the pain of integrating multiple sets of quality data.


If you’d like to find out more about any of these trends, don’t hesitate to contact me, and I’ll help point you to the best experts available.
Related posts:Innovative Analytics in Asia and ANZThe Big Data IcebergWhat is Digital Transformation, Really?
Posted in Thoughts Tagged 2013, Analytics, Business Intelligence, Business Objects, data mining, Data quality, Data Scientists, HANA, In-Memory, information governance, OLAP, OLTP, operations, Predictive, Predictive Analytics, SAP, SAP HANA, SAPHANA, Top, transactions, Trends. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. In many cases, the organizational culture is the roadblock that impede continuous improvement programs. Taking the time to celebrate is important because it acknowledges people’s hard work, boosts morale and keeps up the momentum. Here’s my quick personal view of the ten top trends in Business Intelligence and Analytics for 2013 — what did I miss?
And the next three technologies on the priority list (mobile, cloud, and collaboration) are all key areas for analytic innovation.
For example, in-memory computing platform SAP HANA supports structured and unstructured data in a single system, and includes a sophisticated, embedded text analysis engine. Algorithms such as MapReduce and projects such as Hadoop have introduced new opportunities for storing and analyzing data that was previously ignored because of technology limitations.
The data you are storing now you will still have in 15 or 20 years time, while your applications may be long gone.
Business people want to be able to grab and mix information on the fly, without having to wait for it to be loaded into a corporate data warehouse. Information is no longer a byproduct of manufacturing processes – it is fast-becoming a key part of the products themselves. Better integration between “big data,” traditional analytic systems, and transaction systems must also involve investments in data governance and solutions such as SAP Information Steward.
And if you have any links (case studies particularly) on big data & hospitals, it would be awesome.


Despite the iPhone 5 being the most popular model, its ASP declined to the lowest figure registered by Apple since the iPhone's launch in 2007, according to Gartner. To me that is someone who tells everyone they are on a diet with the secret hope that they will be shamed and policed into discipline by the world around them. Predictive or advanced analytics no longer requires a separate system – powerful analytic algorithms are available directly in-memory, without any unnecessary data movement, and thousands of times faster than disk-based predictive system.
For example, with SAP Business Suite on HANA, transactional data is written directly to memory, where it is instantly available without any of the analytic compromises that have plagued earlier “real-time” analytics.
Today’s retailers and service providers want to offer “customer experiences” that are tailored to individuals, optimized for the moment, and coherent over time – and that requires powerful new data platforms. The ASP reduction is due to strong sales of the iPhone 4, which is sold at a strongly discounted price. Since detailed row data is stored without any aggregation, it makes it much easier to let business people upload their own data sets to the corporate hub for analysis. These new technologies have more than proved their worth in niche or standalone systems, but need to better integrated with existing corporate environments. And of course, people expect a smooth, mobile-ready BI experience with integrated social collaboration, and the option of using a cloud-based infrastructure.
As information becomes part of revenue generation, interest in information and control over budgets are swiftly moving to the business units, rather than traditional IT. Rather than waiting for mature markets to recover from the global financial crisis of 2008–09, they now accept that the duration of the downturn is uncertain.



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