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by Tom

Integrated Reporting – is that a value or a verdict?

November 14, 2011 in Asset Management, Investment Banking, Private Banking

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When talking to functional experts in any bank today often the “we vs. them” theme seems very dominant. Whether it’s Finance vs. Risk or Sales vs. Operations a reporting framework crossing all of these functional boundaries seems to be the exception, not the norm. Yet we have conquered far more complex integration challenges from production planning through supply chain management to integrated marketing management. Why are the functional boundaries within the financial services so much more robust than those in other industries? We’ll have a go at explaining this symptom:

  • Regulation rally – the volume and speed of regulatory change has kept many CFO functions in a requirements stranglehold for the past 3-4 years. Basel I to III, Sarbanes-Oaxley, MiFID I and II and many more just to name a few have left little room for introspection and looking beyond the brim of ones own responsibilities. But still there are a few firms that have been able to comply with the regulatory avalanche and still create an integrated view.
  • Growth greed – many Financial Services have exchanged speedy growth for sustainable growth and profitability. So often the divers functions are measured by similar objectives overstating asset growth KPIs compared to dedicated functional goals fit for distinct subject matter experts.
  • Innovation envy – focused on the corporate strategy and called to hone the intrapreneur in every role almost every function has become responsible to progress the big picture, to add his bit to the bottom line. And such it happens, that every idea, every innovation is claimed by all parties involved in bringing it to life.

But does this imply, that the integrated view is not achievable or even advisable any more? Far from it – even in such competitive or rather self-centered of environments having one integrated and single source of truth can make the difference between survival and success. The start of this integrated path however, starts with a strategic and top-down view on how and by which measures the bank should be lead by. Performance management is at last a business cultural call way before it starts to become a technology issue.

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by Tom

How fast can you set-up a working Data Govenance Framework?

Januar 3, 2011 in Financial Services, Investment Banking, Private Banking, Success Stories

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Many organizations which have lived through data quality pains – really suffer from a data governance issue. And there are not many organizations in the large to global scale out there, that can claim not to have any data quality issues. So how fast can you, in the best of circumstances, really establish a working data governance, that i turn has a lasting positive effect on your data quality?

We have led many clients through the process of establishing a working data governance framework and what seems to be unique to most of them, is the lack of ownership for data items that are not directly linked to revenues, performance and success. While it is easy to nail down owners for clients, for profit-centers or for contracts, it is far more challenging to find the responsible person or organizational unit that owns a company’s more generic data items like organizational structure, product catalogue or business calendar. How can you go about these precious, little obstacles?

  • One takes them all – the seemingly easiest way is to define one person or unit, that is responsible for all of these generic items – let’s call them shared data – and owns all of the quality responsibility for the same. In order to successfully incentivize that unit, you need to tie their overall objectives and performance into the more visible success measures, be that revenues, turn-over or client count. Only by instilling that direct link will you underline the importance of data quality for non-strategic (or generic) data objects.
  • All take one – the opposite approach is to link one “community job” to each strategic data item, thus spreading out the maintenance and quality job for the shared data items to a number of well-liked and sought after objects. So whoever takes the client, has to take the business calendar along. Since every governing unit already has a direct revenue link, you don’t have to go through the additional exercise of installing a dedicated incentivation layer.

And how fast is this realistically implemented? I have seen global organizations setting up a new data governance and living the same within three months, including the build-up and usage of an entire master data management framework across three countries. And I also have seen medium sized firms taking two years and not getting the new data governance even settled and decided. So to my experience it’s mostly about the speed in which companies decide that also determines their ability to execute.

What do you think and what have you seen in your companies? Let us know…

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by Tom

De-central centralization in the Finance Industry?

November 21, 2010 in Asset Management, Financial Services, Investment Banking, Private Banking

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The pendulum usually swings in close relation to the economic phase – while de-central strategies usually boom in expanding growth markets most down-turns bring along a re-discovery of centralization strategies. So what effects are to be observed in the post crisis era the financial services find themselves in currently?

Many of our European clients still recover from the shock and are quite focussed on cost- and headcount management. This usually correlates closely with centralization strategies. Funny enough however many large banks have experienced large and expensive consolidation projects in the years gone by and have never actually achieved the intended synergies. Either because the business models changed faster than the administration was able to synchronize processes, data and systems or because internal politics never got over the departmental kingdoms. As a result of these failed consolidation attempts many clients now aim at achieving de-central approaches to a central policy. What sounds confusing or even paradox at first can be achieved with a clever performance management framwork and some up-to-date integration technology.

Let us look at two examples we have supported during the past months:

  • Client Management – a globally operating European universal bank has suffered from redundant and inconsistent client data processing accross its functional and geographic borders. Instead of mobilizing a multi-million Swiss-Franc initiative the firm achieved a common and central policy and spread its implementation accross many different systems. We have managed to hook up the operational CRM and client master systems to a centralized master data management hub that applies de-central (localized) rules to syncronize the local repository with its global counterpart. Applying a multi-level data stewardship concept and a stringent data-quality management the consistency has clearly improved and the implementation didn’t have to follow any big-bang risks but was able to integrate each department and country on a case by case basis. And while the results can be used and measured centrally (thanks to the central integration hub) the operational handling and ownership can remain locally.
  • Financial Instruments – Another European client was used to an out-dated financial instruments master data repository and  accepted change cycles of 18 to 24 months whenever business users requested new information. That this time and information gap can result in serious compliance issues became obvious during the initial Lehman Brothers impact analysis. More than 20 people had to manually consolidate different reositories and the resulting portfolios. After implementing a business rules based classification system, the divers requirements of Portfolio Managers, Sales Managers and Risk Managers could be integrated into single classification system. And instead of changing all the operational systems in an investment intensive, time-consuming program the centralized infrastructure combined central policy with de-central execution.

These two examples cleary illustrate, that de-central centralization no longer is an oxymoron. For more use-cases or a deeper dive in the examples listed, just add your thoughts and your own experience…

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by Tom

Basel III – New Projects Galore?

September 14, 2010 in Financial Services

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With the seemingly unanimous attitude towards the new and coming Basel III accord for the financial services industry many business consulting outfits and technology service providers expect a feeding frenzy for a never-ending stream of new projects. Are they going to be right? anvalad looks at the potential impact and assesses the likes and unlikes:

  • Most banks have struggled to achieve satisfactory solutions to cope with Basel II requirements
  • Many of the solutions in place are hot-wired and will be short-lived
  • Only few banks profited from the advanced Basel II approach, whereas most banks will have to up their credit underpinnings severely with the Basel III accord
  • The calculation approach itself will not change fundamentally hence new solutions are only asked for where none (or only bad ones) are in place

So with all of the above taken into account it seems obvious, that there will be a host of new projects. However Financial Services clients will be weary to re-live the expensive and ineffective projects they have gotten used to in so many failed Basel II implementations. Whether global consulting firms promise out-of-the-box miracles or technology powerhouses calculate razor-edged turnkey contracts, the big unknown always comes with the client’s history and is mostly spelled “heterogeneous” with a capital H.

Data integration projects will continue to be nightmarish endeavors and only when you are able to combine the knowledge of the business with the experience of the systems involved and top this mix off with a solid template-based technology framework can you hope for success. This success however must not hide behind 18 month project structures but needs to produce initial results in three to six months.

Try us – we’ve been there!

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