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  • admin 9:51 am on November 17, 2017 Permalink
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    ETL is changing: How to transform a TLA* 

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  • admin 9:49 am on November 19, 2016 Permalink
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    Driving Home a Game Changing Business Transformation 

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  • admin 9:51 am on June 21, 2016 Permalink
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    Welcome Changing Requirements, Even Late in Development! 

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  • admin 9:47 am on June 7, 2016 Permalink
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    Changing the Game with IoT 

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  • admin 9:46 am on February 23, 2016 Permalink
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    5 Technologies That Are Changing Creative Work 

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  • admin 9:59 am on July 22, 2015 Permalink
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    Big Data and Evolution – How Big Data is Changing the World 

    Having written about Big Data and Time Travel and about Big Data and Philosophy, it’s time to write about Big Data and Evolution.

    The subject has been already discussed in Daniel Dennett’s excellent article in Scientific American in March this year, How Digital Transparency Became a Force of Nature.

    In the article Dennett, the Tufts University philosopher and cognitive scientist, and Deb Roy, the Massachusetts Institute of Technology professor and Twitter’s chief media scientist, compare the developments in Digital Data to the developments of environments in the early-stage Earth. Their main idea is that an emerging trend towards digital transparency will put evolutionary pressure on current companies.

    This, in turn, will cause a whole round of “survival of the fittest”, where only companies that can withstand the pressure of digital transparency survive, in the same way that Evolution caused whole families of species to disappear when they couldn’t cope with environmental changes.

    Source: “Walking with Dinosaurs film”

    Dennett and Roy write: “The impact on our organisations and institutions will be profound. Governments, armies, churches, universities, banks and companies all evolved to thrive in relatively murky epistemological environment, in which most knowledge was local, secrets were easily kept, and individuals were, if not blind, myopic. When these organisations suddenly find themselves exposed to daylight, they quickly discover that they can no longer rely on old methods; they must respond to the new transparency or go extinct.”

    Anyone who followed the various governments’ response to Wikileaks would agree that they are struggling to cope with transparency. Will commercial organisations fare any better?

    But this is only one way in which Big Data is changing the world.

    Source: http://www.rand.org/

    At present Big Data is Big Promise – it hasn’t yet hit the “killer app”. Remember the early days of the Internet? It was obvious that it is a thing of great promise, but uptake was slow. Then came email and the rest is history.

    So what will be Big Data’s killer app?

    My money is on Health.

    Yes, the Internet of Things (IoT) is the current buzzword. But in my view, it is the potential of Big Data to influence public healthcare that will get us all excited.

    More and more people are collecting personal health data, by smartphone app, by smart watch or by special equipment. I recently spoke to a marathon running university professor who can predict his performance on the next marathon based on data he collects on his daily training runs.

    Collect this data and analyse it and you have a treasure trove of information that can help predict epidemics, correctly plan public budgets, improve access to health and discover hidden correlations.

    The public is obviously interested, but weary of loss of privacy, which brings us back to Dennett’s article. When large corporations evolve to survive in a transparent world, the individual will need to evolve with them. A society that shares its health data is a healthier society.

    Let’s hope that common sense prevails over privacy-made-public fears.

    Ben Bor is a Senior Solutions Architect at Teradata ANZ, specialist in maximising the value of enterprise data. He gained international experience on projects in Europe, America, Asia and Australia. Ben has over 30 years’ experience in the IT industry. Prior to joining Teradata, Ben worked for international consultancies for about 15 years and for international banks before that. Connect with Ben Bor via Linkedin.

    The post Big Data and Evolution – How Big Data is Changing the World appeared first on International Blog.

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  • admin 9:52 am on March 17, 2015 Permalink
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    Changing your Behaviour, Not the Data 

    I was recently helping someone buy a new laptop. Their specifications were pretty light on as they really only needed something to browse the web, type up the odd word document and check emails. The core buying decision was that it had to be small and light. What struck me during our shopping was a particular conversation we had when we were looking at a nice slim ultrabook. “Oh no…where’s the DVD drive? It has to have a DVD drive!” It was then that I asked when was last time they used the DVD drive in their current laptop and they responded with “a while ago, but I might need it to watch a DVD one day.” So we then ruled out small light laptops in favour of a bigger heavier model that could fit a DVD drive. So much for requirements gathering!

    So my experience represents a very common and often under-estimated component of any data analytics project. That is change management. It’s not a case of “if you build it, they will come”. You have to change the way humans behave to make the project a success. That of course is easier said than done.

    In every data analytics project there are the usual issues to cover off including data quality, data volumes, privacy, security, cost, infrastructure and governance. But I often don’t see or hear change management discussed. How will they manage the human and process changes necessary to make the most of the analytics platform and solution they are building?

    A Data Analytics initiative challenges the culture of your organisation in more ways than one.

    I recently read a story about a software company in the US with a large customer base. They were implementing an analytics program that would enable both multi-channel customer communications and upselling. To achieve these goals, the company needed to change the way it handled sales data (replace batch processing of sales information with real time processing) and communicates with customers (replace blanket email communications with more personalised, one-on-one communications). Therefore a significant amount of human change management would be required to make this particular analytics initiative work.

    Changing people to do the things the way we want them to do it is no easy task. Changing human behaviour won’t be performed overnight but rather is a process done in small measurable steps over a long period of time. One approach to consider is the living model approach. In fact this approach suits the concept of agile analytics. It’s all about building prototypes of analytics and engaging with the users to trial it’s use. The concept of “fail fast” comes into play here because if it doesn’t get take up at this stage then maybe it’s not worth pursuing in the longer term. Switching to a different industry as an example is Nike. What you see on the shelves is the end product of a process that has been tested in small market test groups. Colour, texture, price are all evaluated in small batches to see if people would be willing to make the change to the shoes. The same applies to data analytics projects. Market test what the end users want by setting up small agile analytical environments and having the business test and provide feedback.

    Another change management tactic to consider is the one outlined by Brynjolfsson in his paper “The matrix of change” In it he outlines the use of the matric of change model. The model aims to determine three points.

    1. Which processes need to change
    2. Which processes can stay the same
    3. And how the processes interact

    The model pits the old practices against the new ones to determine which are opposing and which are reinforcing. The goal is to implement processes that reinforce one another. With enough reinforcing processes, change is feasible.

    Figure 1. The matrix of change model by Brynjolfsson

    Finally analytics projects should not be treated differently to any other project in the organisation. The same rules apply whether you are moving office locations, replacing the fleet of company cars or deploying an analytics solution that changes the way you interact with customers. With this in mind you should look at Kotter’s 8-step change model.

    You can have the greatest technology in the world, the best people to deliver an analytics project and a solid timeline for delivery, but if you don’t win the mental approach with your business user’s to make the change, then your analytics project will be doomed for failure.

    Ben Davis is a Senior Architect for Teradata Australia based in Canberra. With 18 years of experience in consulting, sales and technical data management roles, he has worked with some of the largest Australian organisations in developing comprehensive data management strategies. He holds a Degree in Law, A post graduate Masters in Business and Technology and is currently finishing his PhD in Information Technology with a thesis in executing large scale algorithms within cloud environments.



    The post Changing your Behaviour, Not the Data appeared first on International Blog.

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  • admin 9:51 am on November 11, 2014 Permalink
    Tags: , , Changing, , , , Poland, ,   

    BNP Paribas: Being the Bank for the Changing World Through Data-Driven Marketing in Poland 

    Taking the data-driven learnings from their headquarters in France, BNP Paribas Polska has quickly repeated the marketing successes in Poland doubling their success rate in the hundreds of campaigns they run each year. That’s right – DOUBLE!

    For BNP Paribas Polska, retail banking is their core with 80% of their 400,000 active customers falling into that segment. The vision is to be connected with customers in retail banking, know about deposits, accounts and work very closely on relationships through multi-channel banking with the ultimate goal of creating loyalty.

    Justyna Martyniak BNP Paribas Polska

    Justyna Martyniak
    BNP Paribas Polska

    “It’s very important because in every channel the customer can achieve the same information. So it’s quite important. We have quite a large call center; we have many branches. All our advisors have the one window with the same information in every channel. For example, if we send the campaign for the internet, it’s with the same information too. So customers are satisfied because they have good and very quick service. We send leads in the morning and they treat it as fast as they can.” – Justyna Martyniak. BNP Paribas Polska CRM Manager

    BNP Paribas Polska CRM Manager, Justyna Martyniak, tells our Customer Success team that replicating the French model without the pitfalls has sped up results. Implementing the Teradata Customer Interaction Manager (CIM) has allowed her team to eliminate the bottlenecks in the manual marketing process reaching customers and prospects sooner, reducing costs and providing a better response rate on targeted marketing.

    “That’s a very big difference because we have a good data warehouse on the Teradata environment; it’s very fast and very nice to work with. One of our tasks is data mining. So it’s very important, the data-driven situation in the campaign process. Another thing is Teradata Customer Interaction Manager – we have easy possibility to make the campaigns at the same time for many channels and send very quickly to the advisors in the branch and call center consultants. So it’s important to connect with a quick sale and relationship.”    – Justyna Martyniak. BNP Paribas Polska CRM Manager

    BNP Paribas Polska has increased the number of campaigns resulting in 20% of sales coming from those campaigns. Sources for leads come from multiple places including data mining the Teradata environment and automatic triggers from customer’s actions. The leads are sent to advisors at the branch or the call center where they’re acted on.

    Being Data-Driven

    The CIM solution allows the team to measure at every step in the process determining data Screen Shot 2014-11-06 at 7.13.04 AMquality, success and response rates. Those measurements and data go back into the Teradata environment to further enhance success rates for subsequent campaigns.

    “We measure at every step all of the campaign process. It’s not only at the end. So at the end we measure the sale, but we measure before steps too, especially contact rates with the clients. And it’s connected with the data quality for the contact data. It’s very important because before we didn’t do– we didn’t have good data contacts for the clients, so we weren’t– it was not possible to do lots of contacts, lots of campaigns, and now it’s better and better. But it’s connected with the before process. So if the campaign has bad contact rates, we are digging in the contact data and ask advisors and call center to do something with this, to have more possibilities to contact in future campaigns.” – Justyna Martyniak. BNP Paribas CRM Manager

    Thank you to the BNP Paribas Polska team for being a truly data-driven marketing organization and sharing your success!

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  • admin 9:54 am on November 7, 2014 Permalink
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    BNP Paribas Polska Executing as the Bank for the Changing World 

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