The Importance of Effective Data Governance

Timothy Valihora is an enterprise data quality senior architect with over 24 years of IT experience and possesses all of the relevant data warehousing and IT development skills. With extensive expertise in the IBM InfoSphere Information Server (IIS), IBM Master Data Management (MDM) and OWL Data Quality (now entitled Collibra Data Quality) software stacks – Timothy Valihora utilizes the Collibra Data Quality, IBM IIS and IBM MDM toolsets which are all fully-scalable (ideally deployed via Apache Spark or RHOS) and adaptive to specific workflows and business needs.

Data governance involves managing and organizing data and related processes to enable workforce collaboration while ensuring that access to data is regulated and compliant. With strict security and privacy mandates, users can utilize data in meaningful ways and create value. Mr. Valihora also specializes in all aspects of Data Governance – in order that large scale corporations can remain complaint in terms of the California Consumer Protection Act + General Data Privacy Regulations etc.

In general – unified & properly “governed” data is challenging to organize and use and may compromise security. One example involves data inconsistencies pertaining to a single customer, such that name and personal details (“PII”) differ across logistics, service, and sales systems. Not only is intelligence about the customer potentially based on faulty information affecting marketing decisions, but the customer may receive subpar services as a result.

Mr. Valihora is an expert on how to use sophisticated software stacks such as IBM MDM, IBM InfoSphere Information Server, OWL Data Quality and Collibra Data Quality to ensure that customer data is properly governed within a given organization and leveraged to gain proper advantage due to the correct “Master Rows” being built from disparate sources and targets, accordingly.

A platform such as Collibra Data Quality, coupled with organizational transparency and accountability, helps ensure that management and employees adhere to the same processes when handling and safeguarding data. Not only is access to sensitive data restricted and apportioned to the appropriate people, however – how it is used and changed is often documented + captured – in a “real time” (or near-real-time) format.

Collibra’s stewardship management interface enables team roles and responsibilities to be defined, with data shared specific to projects and actual user needs. This allows errors and misapplications of data to be examined and the root causes of issues identified.

Tim Valihora is an industry leading expert with respect to Collibra Data Quality, IBM InfoSphere Master Data Management,
IBM InfoSphere Information Server – DataStage, QualityStage, Information Governance Catalog, FastTrack, Stewardship Center (BPM), Information Governance Dashboard – featuring Cognos (IGD), Watson Knowledge Catalog, Enterprise Search, QualityStage address standardization + certification, Subscription Manager, the Grid Toolkit for DataStage and DataStage “Balanced Optimization.”

Advantages of Collibra Data Quality (formerly OWL Data Quality) include the leveraging of “behavioral data quality rules” which use proprietary algorithms to auto-generate “behavioral rules” which can – then in turn – utilizing a “base” input data set (or disparate data-sets) to isolate day-to-day – anomalies i.e. as input data changes. Once setup and operational – the OWL Data Quality workflow can analyze data on a real-time (or near-real-time) basis – devise data quality rules (either coded manually or automatically via the behavior rules functionality)- then trap rule breaks, outliers, duplicates, pattern (or rule) breaks, shape anomalies and – as such generate meaningful – data quality “scorecards” etc.

Mr. Valihora is proficient at installing IBM InfoSphere Information Server on Windows, Linux, Unix and Red Hat Open Shift (for the “MicroServices” tiers of IBM IIS v11.7.1.4 (IGC New, IA lite, Watson Knowledge Catalog and Enterprise Search.)

Tim Valihora has conducted over 5 installations of OWL Data Quality (on Red Hat Linux and Apache Spark clusters.)
Over 200 installations of IBM InfoSphere Information Server (on Windows, Unix, Linux and Red Hat Open Shift.)
And 6 installations of IBM MDM.

In addition Tim Valihora has coded over 6000 DataStage and QualityStage jobs, 200 OWL Data Quality rules, 80 Collibra Data Quality Rules and dozens of Information Analyzer Data Quality Rules using IA “Workbench” and the newer “MicroServices tier” of IBM IIS (i.e. the IA “thin client data quality UI”) which is deployed exclusively on Red Hat Open Shift technology.

Mr. Valihora – president and CEO of TVMG Consulting LLC – is one of the penultimate ETL & Data Quality performance tuners in North America and currently resides in Vero Beach, Florida.

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