Adrian Simpson, Chief Innovation Officer at SAP - How can we benefit from the innovation phenomenon and not be overwhelmed by it?
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Adrian Simpson, Chief Innovation Officer at SAP spoke at the CIO Event UK 2013
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Adrian Simpson, Chief Innovation Officer at SAP - How can we benefit from the innovation phenomenon and not be overwhelmed by it?
- 1. How can we benefit from the innovation phenomenon and not be overwhelmed by it? ……………………………………………... Adrian Simpson SAP
- 6. Options for Innovation Faster More Agile More Timely Do More
Notes de l'éditeur
- Synopsis: With the convergence of technologies - social, mobile, cloud and data - the gap between ideas and action is closing as information becomes accessible, consumable and shareable by anyone, anywhere, at any time. It's disrupting many established IT architectures and changing the way people and businesses interact. Join this workshop to discuss how you can harness this phenomenon to your advantage by embedding technology into the everyday processes that drive change and improvement in your organisation. By bringing together game-changing solutions across applications, analytics, mobile, cloud and in-memory computing, you now have a powerful common platform to accelerate, differentiate and transform your business for the future.
- Start the CURRENT and FUTURES (ideal case)
- Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
- Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance.Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down.Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your distribution networkPropensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them.Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents.Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis
- Imagine if you could get information instantly. Imagine if you could process vast amounts of data – real-time data, not historical data. Imagine if you could build not only new reports, but completely new business applications involving more complex calculations than ever before. And imagine if it was actually less complex to do this than your current reporting and analytics environment. That is the impact of this technology – it is a transformational change in enterprise computing, as the examples on the slide show you.BARRIERS on 2nd column BOARD – challenges of moving to future ? What is getting in the way ?
- Quicker – Nongfu SpringMore Agile – T-mobileMore Timely – Big PointDo More – ChariteHOW MIGHT WE on 3rd page on BOARD – for each barrier turn it into a “how might we”…e.g. barrier is not enough money becomes how might we get the money or do it with less money ?