Reaching Excellence in Information Governance
Edita Lukaseviciute, Head of the Information Governance Division at Financial institution of Lithuania
Edita Lukaseviciute has been an instrumental determine in implementing the information governance framework on the Financial institution of Lithuania. In her day by day work, she attracts inspiration from knowledge and digitalization and focuses on teamwork.
In an interview with CIOReview, Lukaseviciute shares insights on her skilled journey within the knowledge governance area, specializing in ability growth, technological developments and challenges in adopting new knowledge administration applied sciences.
Skilled Journey and Key Experiences
My skilled journey on the Financial institution of Lithuania began as a statistician engaged on the European Ana credit score Undertaking and the nationwide credit score register transformation mission. The principle aim was to gather granular knowledge from monetary market members and use it to guage creditworthiness and achieve financial insights for monetary stability.
When the Financial institution of Lithuania’s knowledge administration and knowledge governance program was initiated, I used to be appointed because the mission supervisor of the information governance transformation mission. I ultimately turned the top of the group’s knowledge governance division. Throughout my journey, I developed the power to see the entire image of the information inside the group and delve deeper into it for evaluation. I discovered the way to use knowledge to create extra worth and establish greatest practices for efficient knowledge administration.
Traits and Expertise Developments within the Banking Sector
Each trade is shifting from previous legacy programs to new applied sciences like knowledge lakes. On the Financial institution of Lithuania, we’ve got constructed our knowledge lake and are implementing a knowledge mesh method with a centralized infrastructure for knowledge administration. This highlights centralizing competencies, infrastructure and governance requirements whereas enabling a self-service tradition for analytics in enterprise models.
“On the Financial institution of Lithuania, we’ve got constructed our knowledge lake and are implementing a knowledge mesh method with a centralized infrastructure for knowledge administration.”
One other rising development is generative AI. We’re progressively advancing in the direction of implementing the know-how in our day by day work, and within the coming years, it is going to be crucial for all enterprise processes.
Challenges in Adopting Rising Applied sciences
The principle problem in adopting new applied sciences is the human element. Usually, folks will not be inclined towards new applied sciences. They are often resistant to vary or could worry the way it will affect their work. The problem lies in speaking with them and explaining why adjustments are vital. Leaders have to take the initiative and show how new applied sciences could make their job simpler and extra environment friendly. Holding common conferences to current ongoing adjustments and plans is essential. We adhere to the information mesh precept and have digital product groups comprising members from IT, knowledge and enterprise departments who work collaboratively via all of the adjustments. We offer mentors within the knowledge and IT departments who assist staff with day by day duties and new instruments.
Making certain Efficient Information Governance
My division focuses on defining requirements and processes for knowledge administration on the Financial institution of Lithuania. We monitor processes and analyze how they work in actuality. We use dashboards to trace key efficiency indicators (KPI) yearly and conduct surveys to assemble suggestions from knowledge customers. This helps us enhance our processes and knowledge governance features.
We observe completely different methodologies, such because the Functionality Maturity Mannequin Integration (CMMI), for knowledge administration maturity evaluation. Leveraging the Information Administration Physique of Data (DMBoK) contains important areas with outlined requirements, processes and KPIs. These areas are recognized earlier than the initiation, adopted by an analysis of their efficiency.
Information Governance Instruments
Information governance instruments, that are in a budding stage, are applied by us and embody a knowledge catalog and high quality dashboards. These instruments are important for knowledge governance, high quality measurements and knowledge comparability throughout completely different domains, permitting us to know the way wholesome the information is inside our group.
In our knowledge transformation journey, we focused on knowledge analytics and all the knowledge worth chain, from knowledge assortment to dissemination. The mission is for an exterior knowledge portal that publishes knowledge. This holistic method helps us construction our knowledge administration targets.
Recommendation to Friends within the Information Governance House
My recommendation to friends within the banking sector’s knowledge governance area is to share your information and experiences inside and out of doors your group. Collaboration with others is crucial as you’ll be able to have a greater understanding of the conventions. Share as a lot as you’ll be able to to serve the very best pursuits of the neighborhood.
