Analytics

Can data warehousing speed up with the advent of Big Data?

The majority of the data warehouses in the Netherlands is between eight and twelve years old.  During that period of time data warehousing has become accepted as the main architecture for providing information for reporting and analysis in support of decision makers. Unfortunately, the data warehouse was never designed to integrate the growing amounts of unstructured data, commonly referred to as “Big Data”.

But not only the data structure versus the setup of the data warehouse constitutes a problem. Big Data also challenges data warehouses as to the speed with which data becomes available, which is many times greater than data warehouses were supposed to handle. The question that therefore arises is: “Will data warehouse survive the Big Data challenges?”

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Blogpodium top stories 2012

As we approach the end of 2012, it’s a good time to look back and review all of the great content that’s been published the past 12 months. It’s been a busy time in the world of Innovation, Analytics and Digital, considering everything from different ideas about the key ingredients for successful innovation to shifts in the way consumers engage with social networks and mobile devices.

Below are a few of the best articles we’ve seen published this year.


Top 10 Challenges for Investment Banks 2012
Investment banks are increasingly operating in a volatile, resource constrained and highly regulated environment. Rigorous focus on strategic and operational priorities provides the key to high performance. Complying with new and impending regulations presents major challenges for investment banks.

To help investment banks plan and execute with success as macro trends reshape the industry, Accenture has developed a list of the top 10 challenges to address in 2012.

Different key ingredients for successful Innovation

The responses to a poll Accenture ran on LinkedIn revealed that people have very different ideas about the key ingredients for successful innovation. A full half of the respondents believe that understanding customer challenges is the key, while another third believe it is essential to embed innovation in an organisation.

The truth is that all of these play a role in successful innovation. But is there one element that is so crucial that without it successful innovation would be impossible?

The importance of Data Governance
Does your company consider its data to be a strategic asset? More important, do you not only consider it to be an asset, but are you also treating it as any other asset?

In my 20 years of experience in Data and Information Management, I worked for companies, who claimed to understand the importance and potential value of their data, but struggled to live up to this understanding. And, up to today, many companies I visit are still not taking full benefit of the wealth of information that is stored in their systems.

Are you moving fast enough in Digital?
As the world is changing rapidly, organizations need to stay in the game by investing in digital capabilities. But many organizations find it difficult to predict the expected ROI, resulting in little investments and lack of innovation.

Digital is radically changing the traditional ways organizations interact with customers. Customers are willing to interact with organizations via social media, and expecting them to be out there too! Therefore the question is no longer how fast things are moving, but: are you moving fast enough?

High Performing Business in changing economic times
In this volatile, uncertain and increasingly complex world, many businesses and governments have an urgent need to reassess current strategies and vital capabilities to achieve high performance.

Companies that want to stay in business need to make concrete plans for the future, with little room for errors. After all, companies will need to keep launching successful business concepts or products to outperform their rivals in these challenging times.

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Big Data: What news does it bring?

In my previous blog posts I have paid a lot of attention to the importance of managing data as a corporate asset. Up until today, the focus in most of the projects I am involved in is still on an organization’s internal, structured data, with solutions like an MDM repository for customers, vendors etc, data governance and data quality dashboards.

What I am recently asking myself, is how this traditional approach of data management will change as a result of the digital revolution we are currently going through. When I am hosting a workshop or giving a presentation I always like to show a movie that tells the story of the enormous explosion of data and information in recent years and how most organizations feel they are not in control of this.

In a relatively short time the concept of data is changing dramatically. Not just in volumes, which become bigger and bigger, but also in the number and type of sources this data is coming from. In todays world, most machines, tools, cars, websites, buildings etc.  store and even transmit data. And, to add to the complexity, this data is not by definition formatted in a way most of us are used to. In summary, we face higher volumes of data, coming from a higher number of sources both in a structured and unstructured way.

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Big Data and next generation Analytics

Today’s fast-moving and dynamic environment presents corporations with challenges and exciting opportunities. Rather than being left behind, corporations need to see this as a crucial time of opportunity. As budgets continue to shrink and demand for smart business decisions increases, the answer may lie in one of the most valuable but underused assets a company already has: its customer information.

As data-driven insights become an increasingly critical competitive differentiator, companies will use them to drive and optimize business decisions across industries. In the past, this market was largely limited to traditional market research and data specialists, but with the rise of digitization, established enterprises have amassed terabytes of information about their customers enabling them to potentially become serious players in the new information game.

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Through the Looking-Glass

Social media analytics lies at the cross roads of two important developments. First there are the developments in social media, of which Facebook and Twitter are well-known examples. Second, like social media, analytics is a development which has also changed the playing field of organizations. Although social media and analytics are real game changers, unfortunately numerous organizations are not embracing these developments yet. This may turn out to be a costly mistake.

Social media has fundamentally changed the way businesses and individuals connect and interact with each other. It offers individuals the opportunity to express their opinions and feelings at any given time. Such messages may be positive, but may also have a negative scope. Therefore organizations must be alert about what is said about their organization, products and services (and staff) in order to respond quickly. Protecting the organizational reputation (reputation management) is therefore one of the many possible applications of social media analytics.

In a broader perspective social media can be seen as a tool to understand what stakeholders are talking about (topic), what they think (opinion) and what they need (desire). It is not an additional channel for advertising products and services. Therefore it is wise to listen rather than talk and participate and facilitate rather than organize. Organizations that are making good use of social media have a direct line to what matters to stakeholders. Ignoring social media means that you are in risk of reputational damage and might miss identifying trends, or identifying trends later than competitors who are embracing social media.

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9 reasons not to do analytics

Analytics gets a lot of attention. Apparently there are still some organizations out there that haven’t seen the light. A recent survey into the use of Analytics in the Dutch market (Dutch Analytics Survey) indicates that indeed there is still a lot to gain. But maybe we should stop giving so much attention to Analytics. Organizations who haven’t embarked on that journey yet, probably have good reasons for it.

  1. “Analytics is just another word for Business Intelligence’.”
    Business Intelligence is about understanding which were the relevant factors that lead to turnover and profit for example. Analytics is forward looking and provides insights on what results you can expect when choosing different scenarios. Of course, if you think that driving a car by looking only in the rear view mirror and not also looking through your windshield provides the same kind of experience and direction, then you probably would conclude that Analytics and Business Intelligence are the same thing.
  2. “Analytics is a hype. In a few years nobody is talking about it anymore.”
    Absolutely! Why do you want to look ahead? The world is not dynamic and unpredictable. If you want to understand what lies ahead, just look at past results! There is no such thing as new developments: the world has not changed in the past twenty years. Read more…

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State of Analytics in the Netherlands

Not data, but people, goals, business orientation and leadership appear to be important in the successful deployment of Analytics. This is one of the conclusions of the Dutch Analytics Survey conducted by Accenture Netherlands and IT Management Magazine.

Based on the DELTA method by Thomas Davenport, Jeanne Harris and Robert Morison the Survey consists of 21 questions and tries to get answers to several important questions, such as “Which analytical characteristic are often present and shared within an organization?”

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How to sustain your Data Governance program?

With a lot of dedication and hard work you have convinced your management about the added value of treating data as a valuable asset. You have done a good job, you got the funding for implementing a data governance structure throughout the organization, which is the cornerstone of your whole data management program. A few months later you have implemented a governance structure. On the day of go-live there was cake and you were acknowledged by your management team for an excellent piece of work and officially appointed as the Vice President Data Management for the whole organization.

So, you’re up and running now, but how do you make sure you keep running in the right direction?
Setting up a governance organization, implementing the right processes and supporting tooling is only the beginning. Read more…

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3 key elements of data governance

As mentioned in my previous post, I see more and more organizations that start to understand the potential value of their data as a key business enabler. In order to truly uncover the value of data it needs to be managed and controlled, or in other words, governed. Basically, no matter how small or ‘big’ your data, it all starts with data governance.

In a lot of publications it is already mentioned that implementing successful data management should not be an ‘IT exercise’, but requires a careful alignment between people, processes and technology. Effective governance requires not only defining organizational roles and responsibilities, but also defining policies and standards and the processes needed to enforce and maintain these. It also requires providing the right technology solutions, like workflow processes, data quality dashboards and a MDM repository. Having worked for many years in the data management area, I have learned that the people or organizational component in an organization often is the key which makes data governance a success or not.

The 3 key elements of data governance

Unfortunately there is no single governance solution that fits all, organizations have to build a governance model that closely follows its business practice and fits as closely as possible to its culture. Throughout various implementations, I have seen that there are 3 key data governance elements that should be present in any model, sponsorship, ownership and stewardship. Read more…

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