Tag Archives: Unstructured Data

Keeping Information Governance Relevant

Gartner’s official definition of Information Governance is “…the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archival and deletion of information. It includes the processes, roles, standards, and metrics that ensure the effective and efficient use of information in enabling a business to achieve its goals.” It therefore looks to address important considerations that key stakeholders within an enterprise face.

A CIO of a large European bank once asked me – “How long do we need to keep information?”

Keeping Information Governance relevant

Data-Cartoon-2This bank had to govern, index, search, and provide content to auditors to show it is managing data appropriately to meet Dodd-Frank regulation. In the past, this information was retrieved from a database or email. Now, however, the bank was required to produce voice recordings from phone conversations with customers, show the Reuters feeds coming in that are relevant, and document all appropriate IMs and social media interactions between employees.

All these were systems the business had never considered before. These environments continued to capture and create data and with it complex challenges. These islands of information that seemingly do not have anything to do with each other, yet impact how that bank governs itself and how it saves any of the records associated with trading or financial information.

Coping with the sheer growth is one issue; what to keep and what to delete is another. There is also the issue of what to do with all the data once you have it. The data is potentially a gold mine for the business, but most businesses just store it and forget about it.

Legislation, in tandem, is becoming more rigorous and there are potentially thousands of pieces of regulation relevant to multinational companies. Businesses operating in the EU, in particular, are affected by increasing regulation. There are a number of different regulations, including Solvency II, Dodd-Frank, HIPAA, Gramm-Leach-Bliley Act (GLBA), Basel III and new tax laws. In addition, companies face the expansion of state-regulated privacy initiatives and new rules relating to disaster recovery, transportation security, value chain transparency, consumer privacy, money laundering, and information security.

Regardless, an enterprise should consider the following 3 core elements before developing and implementing a policy framework.

Whatever your size or type of business, there are several key processes you must undertake in order to create an effective information governance program. As a Business Transformation Architect, I can see 3 foundation stones of an effective Information Governance Program:

Assess Your Business Maturity

Understand the full scope of requirements on your business is a heavy task. Assess whether your business is mature enough to embrace information governance. Many businesses in EMEA do not have an information governance team already in place, but instead have key stakeholders with responsibility for information assets spread across their legal, security, and IT teams.

Undertake a Regulatory Compliance Review

Understand the legal obligations to your business are critical in shaping an information governance program. Every business is subject to numerous compliance regimes managed by multiple regulatory agencies, which can differ across markets. Many compliance requirements are dependent upon the numbers of employees and/or turnover reaching certain limits. For example, certain records may need to be stored for 6 years in Poland, yet the same records may need to be stored for 3 years in France.

Establish an Information Governance Team

It is important that a core team be assigned responsibility for the implementation and success of the information governance program. This steering group and a nominated information governance lead can then drive forward operational and practical issues, including; Agreeing and developing a work program, Developing policy and strategy, and Communication and awareness planning.

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Posted in Data Governance, Financial Services, Governance, Risk and Compliance | Tagged , , , , , | 1 Comment

When was Your Last B2B Integration Health Check?

If you haven’t updated your B2B integration capabilities in the past five years, are you at risk of being left behind?  This is the age of superior customer experience and rapid time-to-value so speedy customer on-boarding and support of specialized integration services means the difference between winning and losing business.  A health check starts with asking some simple questions: (more…)

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Posted in B2B, B2B Data Exchange | Tagged , , , , , , , | 2 Comments

Big Data, Big Problems: Leveraging Informatica 9.5 to Build an Effective Data Governance Strategy to Meet the Big Data Challenge

By: Chris Cingrani, Informatica DQ & MDM Practice Lead, Data Management Practice at SSG Ltd., www.ssglimited.com

Big data is something that I am continually asked about by clients, as the subject continues to gain significant press.  While discussing this topic, I often address it from the angle that bigger data volumes will result in bigger data problems.   Although this seems like a logical premise, the reality of what it really means to an organization and how to plan accordingly is what is often overlooked.  Rather than solve the problem in this blog post, I want to focus on two key considerations from a data governance standpoint, as well as discuss why SSG sees Informatica 9.5 as a core component of a sound data governance strategy that can ensure an organizations’ business decision-making success. (more…)

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Straight-Through Payments Processing: Use Data Translation And Exchange To Avoid Delays

By Nancy Atkinson, Senior Analyst, Aite Group

Karen Hsu of Informatica organized a TweetJam (#INFAtj) recently on business-to-business (B2B) payments, SEPA, and integration. In conversation with Chris Skinner of Balatro Ltd., I stayed (mostly) within the 140-character message limitations of Twitter while the hour flew by. (more…)

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Posted in B2B, B2B Data Exchange, Data Transformation, Financial Services | Tagged , , , , , , , , | Leave a comment

State Of The Data Warehouse

Hello and welcome to my first blog on Perspectives. I’m Krish Krishnan, and you may have seen me before. I have a channel on BeyeNETWORK on Data Warehouse Architectures and Appliances.

My Perspectives blogs will be focused on data warehousing as a practice and in the coming months, I will be publishing topics on the architecture, integration challenges and share some implementation tips on data warehousing. I welcome your feedback and hope to make this one of your go-to websites for information exchange and sharing insights.

Now I want to cover the State of the Data Warehouse

Business needs today mandate the availability of data at the right time to the users, to make effective decisions. This is the promise that the data warehouse was built on. But in the real world, the data warehouse has morphed into a “big” truth repository and the business value derived from the same is perspective based. What the current data warehouse lacks is a flexible architecture from a data management and integration perspective. (more…)

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Posted in Cloud Computing, Data Integration, Data Quality, Data Warehousing, Enterprise Data Management | Tagged , , , | 1 Comment