Navigating Data Governance with Ease: The Role of Business Intelligence Technologies

 

Data governance is the process of managing the quality, availability, security, and usage of data in an organization. Why is it so important? According to a study, poor data quality costs the US economy a staggering $3.1 trillion annually. However, there is a solution that can revolutionize the data landscape and address these challenges: Business Intelligence Technologies. 

BI tools facilitate data collection, integration, analysis, and visualization. They also improve data quality, break down silos, ensure protection, and allow controlled access. 

In addition, these tools automate processes like validation and cleansing, simultaneously monitoring and measuring data governance performance.

Not only this, but there are also many capabilities that Business Intelligence Software Companies offer in their BI products. This blog will explore these capabilities and how BI technology supports data governance, building a data-driven culture, and delivering organizational value.

How do BI Technologies help make Data governance easier?

1. Data Quality Management: 

In the realm of data, Business Intelligence Technologies are powerful tools that can transform and enhance your data. It checks, refines, and even reveals the hidden history of your data. Additionally, it provides dashboards and reports that track and share any data quality issues, such as errors, outliers, or gaps, with the relevant users.

For example, Coca-Cola utilized BI tools to integrate data from SAP, Oracle, and Excel, enabling the creation of interactive dashboards for key business functions. It facilitated insights, recommendations, and resolution of data quality issues, enhancing decision-making across marketing, sales, operations, and finance.

2. Data Integration and Consistency:

Operating at the forefront of data integration, Business Intelligence Software streamlines processes using ETL features, data warehousing, data lake architectures, and modeling. 

Collecting, transforming, and storing data from diverse sources in a unified and consistent manner, they allow seamless connections and maintain interlinked data points. This approach eliminates separate data storage, reduces duplication, and improves collaboration throughout the organization. 

Grow, a no-code BI tool lets you integrate data sources easily with custom SQL and REST API. You can also use data prep to transform, filter, calculate, and aggregate data, and publish datasets for visualizations.

3. Data Accessibility and Usability: 

Business Intelligence Technologies  propel data accessibility and usability through visualizations, reporting tools, data discovery, and analytics. They display data in engaging formats like charts and dashboards for quick understanding. 

By enabling exploration through querying and filtering, users can effectively analyze the information they need. BI technologies also provide different analytics, giving insights and recommendations. Moreover, collaboration tools enable data exchange and communication among users and stakeholders. 

For example, 2 Brothers Moving & Delivery overcame the initial challenges of complex spreadsheet use by implementing Grow, simplifying data accessibility, and fostering a positive work environment. This fostered transparency, visible performance tracking, and a positive work environment.

4. Compliance and Regulatory Adherence: 

Ensuring compliance is the forte of Business Intelligence Technologies , facilitated by governance tools, security measures, encryption, retention protocols, and audit tools. They set and enforce data governance policies, ensuring accountability and transparency through clear ownership, roles, and workflows. Data security measures, such as encryption and firewalls, prevent unauthorized access. BI technologies also follow retention policies, including lifecycle management and recovery, ensuring data availability and durability. To meet compliance and audit requirements, they monitor, verify, and report on data privacy, ethics, and quality. 

5. Data Security and Privacy: 

Numerous Business Intelligence Software Companies prioritize the enhancement of data security and privacy by implementing techniques such as anonymization, masking, and preference management. It protects identities using techniques like pseudonymization, aggregation, and generalization, respecting data subject rights. Besides, these tools proactively detect, alert, and resolve data breaches. As compliance guardians, they follow regulations such as GDPR, CCPA, or HIPAA, shown through transparent privacy dashboards.

However, Business Intelligence Software  alone is insufficient for complete data security and compliance. Achieving these goals demands a comprehensive, coordinated approach with various tools, strategies, and best practices

6. Performance Monitoring and Improvement: 

Business Intelligence Technologies enhance performance through analytics and dashboards, assessing data governance processes. While effective decision-making often requires human judgment, Grow, a no-code Business Intelligence Reporting Suite, empowers businesses with insights and experimentation capabilities, allowing exploration and hypothesis testing without technical expertise or SQL knowledge.

With Grow, businesses harness the power of data to enhance outcomes and achieve goals. Explore real-time reviews on Grow.com Reviews & Ratings 2023 TrustRadius to validate our claims. 

7. Cost Efficiency and ROI: 

Business Intelligence Software boosts cost efficiency and ROI by automating data governance processes, cutting expenses in collection, storage, processing, and maintenance. Streamlined validation, cleansing, enrichment, integration, and transformation enhance data utilization and monetization. It delivers data value through insights, recommendations, and solutions, continually assessing and improving ROI. Dashboards and reports effectively monitor and communicate the financial impact of data governance.

For instance, Altaworx overcame the challenge of creating complex dashboards by leveraging Grow's data insights, leading to a $40,000 increase in cash flow, streamlined processes, and enhanced transparency. 

Key Principles of Effective Data Governance

To make sure your organization handles data effectively, follow these key principles:

• Connect data goals with business strategy: Align data efforts with what the organization aims to achieve.
• Clearly define roles and duties: Involve and empower key people, like data owners and stewards, by outlining their responsibilities in managing data.
• Set and stick to data rules: Establish and communicate clear rules for data quality, security, privacy, compliance, and usage. Make sure everyone follows them.
• Keep an eye on how well data management is doing: Track and measure how data practices are performing. Regularly check progress and share the results.
• Always look for ways to do better: Identify and fix any issues with data practices. Be open to feedback and learn from the best ways others manage data, always striving for improvement. 

Conclusion

Data governance is crucial for managing enterprise data, enhancing quality, efficiency, and decision-making through policies and technology like BI tools. However, BI tools alone are not sufficient for effective data governance. They need to be complemented by human oversight and decision-making, as well as security and compliance measures.

To overcome data governance challenges, organizations turn to BI technologies like Grow, a Business Intelligence Reporting Suite that empowers data-driven decisions by seamlessly integrating ETL, data warehousing, and visualization. It enables users to connect, explore, create dashboards, and enhance data quality. 

Elevate your data governance by exploring Grow through its free trial and personalized demo.