Data Analysts Key to Filling Security and Governance Lapses in 2020

ByOlivia Brown

The data management industry is a fast-evolving ecosystem. There is no single certain trend that we can predict will completely disrupt the data management concepts. In fact, things have changed dramatically in 2020, especially in the last 6 months, owing to a combination of controllable and unforeseen conditions, such as the COVID-19 pandemic and ransomware attacks. While a majority of business leaders acknowledge that at least one of the IT and Cloud software platform is under perennial cyber attack, they are awfully slow to react and respond to such attacks.

To solve the magnanimously unpredictable security risks in the current IT world, the world leaders are emphasizing on building an organizational security structure that consists of trained IT managers, data scientists, business analysts, and Chief Data Officer / Chief Information Security Officer. All these titles report either to the CEO or a Chief Information Officer, entrusted with the responsibility to assess, monitor, measure, and prepare against any future cyber-attack, and also erect early warning systems in an automated manner.

Data Analysts to Enable Enterprise Security

Good data management skills learned in the data analytics courses also come in handy in data governance and security compliance.

The gaping inconsistencies in Cloud deployment, IT mismanagement, and poorly laid data governance frameworks act as enablers for cyber attack agents to launch their assault on Data servers and Cloud resources.

Building Your Own Security Data Analytics Team

For those with an adventurous streak of philosophy who want to test their own mettle in the security industry, they can opt to start their own advisory and consultancy business in security and data governance policies.

Here are the top outsourced operations that companies prefer for their data and analytics security governance.

  • Build a data security framework as per compliance in Agile ecosystem;
  • Test Governance scorecards agreed upon by the decision-makers and business leaders;
  • Measure changes that are needed to secure information as per R&D projects and Big Data management goals;
  • Train, develop, and test the skills of employees and analysts hired to manage multiple resources in IT systems;
  • Involve training and development as a “culture”, rallying business leaders in the broader scheme of data governance goals and practices;
  • Offer timely assessment and auditing through the analytics dashboard.

Top Applications Once you Master Data Governance

Here are the top techniques that will help you achieve 100% results from your data analytics training course.

  • X Analytics – “X” stands for anything and everything;
  • AIOps
  • Embedded Analytics
  • Augmented Data Management
  • Risk Forecasting and Predictive Intelligence Analytics
  • Metadata Security and Governance
  • GDPR Framework
  • Cloud Data Warehousing
  • IT modernization and Virtualization
  • Robotic Process Automation

After earning recognition in top data analytics courses, you could either join a data science company or a startup that offers SaaS or IT Managed Services to Cloud vendors, technology enablers, and others totally dependent on IT systems.