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How to achieve data governance for financial institutions

The increasing focus on privacy and data-related regulations makes strategic data governance a key asset for all organisations, particularly the data-rich financial services sector. Financial institutions must have a robust data strategy to navigate data protection regulations, such as GDPR in Europe, the Personal Data Protection Act (PDPA) in Singapore and Thailand, to remain successful in the regions where they operate and avoid implications arising from noncompliance.

How to Choose the Best Data Visualization for Your Reporting

Data visualization involves visually imparting information to communicate complex data. Graphics such as charts help simplify data so more people can understand the insights embedded within a dashboard or report. Businesses use data visualizations to find and highlight patterns and trends in big data sets, with many data visualization examples available today, including graphs, maps and plots to help others grasp data conveniently.

Sustainability Reporting: A Modern Finance Imperative

ESG reporting is rapidly becoming a key focus area for finance teams around the world. ESG stands for “environmental, social, and governance.” It’s a set of standards through which companies can report metrics that indicate how well their activities align with issues of environmental stewardship and social issues. In late 2021, the International Accounting Standards Board (IASB) announced the creation of a new ESG reporting standard.

Zero-ETL approach to analytics on Bigtable data using BigQuery

Modern businesses are increasingly relying on real-time insights to stay ahead of their competition. Whether it's to expedite human decision-making or fully automate decisions, such insights require the ability to run hybrid transactional analytical workloads that often involve multiple data sources. BigQuery is Google Cloud’s serverless, multi-cloud data warehouse that simplifies analytics by bringing together data from multiple sources.

Applying Fine Grained Security to Apache Spark

Apache Spark with its rich data APIs has been the processing engine of choice in a wide range of applications from data engineering to machine learning, but its security integration has been a pain point.t Many enterprise customers needi finer granularity of control, in particular at the column and row level (commonly known as Fine Grained Access Control or FGAC).

Direct Query - Part 1 - Overview and Operation

Direct Query is a new capability in Qlik Sense SaaS that enables analytics apps to generate SQL queries directly against cloud databases as the user interacts with data through visualizations and dynamic filtering. This will be a 2 part series – with the first part providing a brief overview, setup and operation of how it all works and the 2nd part showing how this would work along with Qlik’s in memory analytics engine providing more analytics functionality as a hybrid solution.

Direct Query - Part 2 - Building Hybrid Analytics Solutions with On Demand App Generation (ODAG)

This video shows how to build a hybrid data analytics solution using Direct Query and On Demand app Generation when working with real-time data access and big data use cases. You will also see the new auto-template generator for On Demand App Generation - used to generate the detailed / app on demand. For a deep dive on ODAG and Dynamic Views.