Posts Tagged ‘data governance’

In my last blog, you may recall that we were discussing the value and the need for Standards and Templates for ensuring a consistent and efficient use of the Data Lake, both in its population (supplying) and in its retrieval (consuming) of information. To achieve this level of consistency and efficiency, as well as reliability, […]

Data governance doesn’t start in a vacuum; it requires plenty of advance thinking, preparation, and strategy. As such, successful data governance must begin with a foundation built on data principles and a well-thought-out data strategy. Data principles are core guidelines and beliefs that form the backbone of the data strategy and core data governance capabilities. […]

The goal of any data quality program is to improve quality of data at the source. Once a financial institution’s data lineage capabilities are in place, a key starting point for data quality initiatives is the confirmation of critical data attributes for each major business line and functional area. The data quality program should define […]

To successfully address supply chain trends, it is critical that the foundational aspects of your existing supply chain are operating effectively. We recommend evaluating the maturity of the following key supply chain components before attempting to use the latest technologies. SUPPLY CHAIN DATA GOVERNANCE (BLOCKCHAIN, ADVANCED ANALYTICS) Data integrity is the key to supporting transformational […]

A final capability that is emerging is the establishment of formal data contracts between data owners and data consumers and integrates each of the key capabilities described in our previous blogs. A data contract is an agreement that specifies data owner accountability regarding data delivery acceptability levels, as well as the consequences and expectations for […]

The business capabilities presented in our new guide demonstrates how forward-thinking financial services companies are leveraging data governance to create value for the enterprise. Accurate and timely information continues to be a key driver of enabling better decision making. Capabilities such as data principles and strategy, data architecture, organizational roles, authoritative sources, data lineage, data […]

As you may recall, in my last blog I introduced the analogy of the Aggregator to describe utilizing a Data Lake as a Consolidator of information, and I mentioned the three key roles in this model: the Supplier, the Aggregator and the Consumer. In this post I will provide a little more detail on the […]

In my last blog, I introduced the concept of the Data Lake as a Consolidator and the critical success factor of applying robust Information Governance to this environment. In this post, I want to introduce an analogy to help visualize this environment and the parties involved. So, a Data Lake as Consolidator. What does that […]

The first thing any investment company must do in response to the new SEC Investment Company Reporting Modernization is evaluate its current state of readiness. Chances are you have started a compliance program. However, we can help you understand your gaps, including areas where you need immediate action and longer-term changes to support the program. […]

In a new guide, we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. The snippet below talks about the challenges you can expect when developing a response program. Expect challenges in various areas: Data Availability: All required data elements may not be available internally. […]

In a new guide, we discuss the background of the SEC’s Investment Company Reporting Modernization Rules and the potential effects on individual financial institutions. The snippet below talks about the foundational work companies should have already completed. By now, you should have a program in place that covers the following work streams: Engage Report Filing […]

Since my last post I’ve been working for a client that is actively engaged in establishing a Data Lake for the purpose of supporting their analytics efforts, but also looking to “re-architect” the way their systems collaborate by using this Data Lake environment to control and consolidate all information-sharing interactions within their environment. I was […]