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22 September 2023

Business Intelligence Manager roles

Business Intelligence Manager roles: Current & future

Business Intelligence has evolved significantly over the past few decades. From its roots as a collection of reporting tools, Business Intelligence has evolved into a term to describe sophisticated analytics platforms. As organizations increasingly rely on data to drive keen decision-making, the need for skilled professionals to manage these systems has exploded.

Business Intelligence Managers are essential in helping executives and other stakeholders make informed decisions based on accurate and timely data. Their expertise in data analysis, technology, and business acumen makes them essential, if not indispensable, members of leadership teams.

Business Intelligence Manager roles today

Depending on the size and data leadership hierarchy in an organization, Business Intelligence Managers must generally assume a few roles:

  • Analysis and insight delivery: Business Intelligence Managers collaborate with data analysts and scientists to develop predictive models and perform advanced analytics. Their tasks encompass designing and implementing reporting and visualization tools to help stakeholders understand complex data insights.
  • Data Strategy and leadership: Business Intelligence Managers develop and implement data strategies that align with overall business objectives. This may include leading or collaborating on data governance policies, standards, and procedures to ensure data quality, security, and regulation compliance.
  • Technology management: Business Intelligence Managers oversee an organization’s Business Intelligence tools and technologies selection, implementation, and maintenance. They evaluate vendor offerings, negotiate contracts, and manage Business Intelligence software and hardware installation and configuration.
  • Data operations and management: Business Intelligence Managers ensure that data from multiple sources are integrated, cleaned, and transformed into usable formats. They work with data architects and engineers to design and maintain data pipelines, warehouses, and other data storage solutions. They also create and maintain reports, dashboards, and other visualizations that provide insights into organizational performance.

Business Intelligence Managers hold a vital role in their organization’s data management processes: They lead analytics teams and develop and implement data strategies supporting company objectives. Additionally, Business Intelligence Managers oversee related technology and work to ensure that data, and the insights derived from it, are of the highest quality and compliant with regulation.

The essential duties of Business Intelligence Managers

As a Business Intelligence Manager, some key responsibilities include:

  • Design, implement, and oversee Business Intelligence tools and systems: A Business Intelligence Manager selects and operates the Business Intelligence tools and techniques necessary to meet the organization’s information needs. This responsibility includes evaluating software options, configuring and customizing chosen tools, and ensuring they integrate seamlessly with existing systems.
  • Collaborate with IT and data teams on data integration: Successful Business Intelligence programs rely heavily on collaboration between IT, data, and business intelligence teams. The Business Intelligence Manager must work cooperatively with these domains to ensure data is adequately integrated, cleansed, and managed. They develop data governance policies, establish data quality metrics, and provide training for data end-users.
  • Guide teams in data analysis and reporting: Business Intelligence Managers lead their teams in creating reports, dashboards, and visualizations that meet specific business needs. Managers also provide training and assistance to end users on utilizing Business Intelligence tools effectively.
  • Ensure data quality and compliance with regulatory standards: Data quality is vital for making accurate and informed business decisions. Business Intelligence Managers are critical in ensuring that data is accurate and reliable. They develop data validation rules, perform quality assurance checks, and monitor data sources for potential issues. Additionally, either alone or in cooperation with a Data Governance Team, the Business Intelligence Manager supports adherence to regulations such as GDPR, CCPA, and HIPAA.

Business Intelligence Managers are responsible for developing, deploying, and supervising Business Intelligence systems and processes, creating an optimal environment for data-driven decision-making across an organization.

Best practices for Business Intelligence Managers

BI Managers should employ industry best practices to ensure the efficiency of their teams and the success of their projects. Here are some of the most fundamental best practices:

  • Formulate a clear Business Intelligence strategy: Before starting any Business Intelligence project, developing a clear strategy that aligns with the organization’s overall goals and objectives is essential. This strategy should include a roadmap for implementing associated tools and technologies and a plan for measuring success.
  • Identify and prioritize key performance indicators (KPIs): KPIs are critical for measuring the success of Business Intelligence projects and tracking progress toward organizational goals. Include all stakeholders to identify and prioritize the most valuable KPIs based on relevance and impact. Business Intelligence Managers should then measure and evaluate the success of these projects by conducting surveys and gathering feedback from stakeholders.
  • Establish a data governance framework: Ensuring the accuracy, trustworthiness, and security of data is paramount. Implement a data governance program that defines roles, responsibilities, and policies for data management.
  • Select appropriate Business Intelligence tools and technologies: Selecting suitable Business Intelligence tools and technologies is critical to the success of any project. Consider scalability, ease of use, integrations, and cost when making tool selection decisions.
  • Foster collaboration and communication: Cooperation and communication are critical to the success of Business Intelligence projects. Encourage stakeholders to work together and share insights and ideas regarding their insights and experiences to achieve better results.
  • Stay up-to-date with industry trends and best practices: The Business Intelligence field is constantly evolving. Participate in industry events, attend webinars, and read industry publications to stay informed on the latest trends and best practices.
  • Prioritize data privacy and security: With increasing volumes and users of data, it’s crucial to prioritize data privacy and security to prevent data breaches. Implement robust security measures and ensure all stakeholders understand, support, and uphold data privacy policies and procedures.
  • Foster partnerships with IT: Business Intelligence projects often require significant IT support. Foster close partnerships with IT to align Business Intelligence solutions with business needs and ensure that IT resources are appropriate to support projects and initiatives fully.
  • Continuously monitor and optimize: Monitor and optimize Business Intelligence solutions so they remain relevant and effective. Monitor usage patterns, assess user satisfaction, and identify areas for improvement.

By following these best practices, a Business Intelligence Manager can help ensure that their organization derives the most significant value from its Business Intelligence investments and stays ahead of the competition.

Potential future focus & roles of BI Managers

The role of a Business Intelligence Manager will likely undergo more significant changes in the coming years. Technological advancements, shifting business needs, and the growing importance of data-driven decision-making will drive these transformations. Here are some projections regarding how the role and its primary focus might evolve:

  • A rising emphasis on data governance: As more jurisdictions respond to growing consumer concerns about data privacy, Business Intelligence Managers commit more time and resources to respond to new regulations.
  • Expansion of Business Intelligence capabilities beyond reporting: While reporting will still be an essential function of Business Intelligence, Managers expand their teams’ capabilities to include advanced analytics, machine learning, and predictive modeling. Organizations derive more sophisticated insights from their data and make more informed decisions using these new technologies.
  • Greater focus on data storytelling: As data volumes grow, Business Intelligence Managers find ways to distill complex data insights into clear narratives that non-technical audiences can easily understand. They use visualization tools, create interactive dashboards, and craft engaging reports that convey key findings and recommendations.
  • An enhanced focus on proactive analytics: Rather than react to past performance, Business Intelligence Managers leverage advanced analytics and machine learning to anticipate future trends and risks. They use predictive models to forecast sales, detect anomalies in customer behavior, or identify emerging market opportunities.
  • A stronger focus on the user experience: As Business Intelligence solutions proliferate, User Experience (UX) and User Interface (UI) will be critical in ensuring end-users can easily interact with data to extract meaningful insights. Business Intelligence Managers advocate for UX design principles and user-testing solutions that are intuitive and user-friendly.
  • A heightened focus on data privacy: Business Intelligence Managers address and respond to ethical concerns around data privacy, bias, and transparency. They develop ethical data collection and analysis frameworks and ensure that algorithms are fair and transparent.
  • A growing focus on cybersecurity: As data becomes more critical to business operations, Business Intelligence Managers prioritize protecting their organizations’ data from cyber threats. They work closely with IT and other departments to implement strong data encryption, access controls, and other security measures.
  • An elevated focus on data literacy: As data becomes universal, Business Intelligence Managers commit significant resources toward instilling robust data literacy skills company-wide. They build an enhanced understanding of data quality and regularly interact with stakeholders regarding their data insights.
  • Increased use of automation and machine learning: Automation and machine learning will streamline Business Intelligence processes, improve data quality, and reduce the time and effort required to extract insights from large datasets. Business Intelligence Managers analyze these technologies and determine how to successfully integrate them into their organization.
  • An amplified emphasis on sustainability and social responsibility: As society focuses more on environmental and social issues, Business Intelligence Managers assess and revise their organization’s data and analytics initiatives to align with these values. For example, they may use data to track and reduce carbon emissions, promote diversity and inclusion, and mitigate risk exposure related to climate change and other sustainability challenges.

The evolving Business Intelligence Manager role

The role of a Business Intelligence Manager is multifaceted and critical to the success of their organizations. They must possess technical, business, and interpersonal skills to lead the development, deployment, and supervision of Business Intelligence systems and processes.

In the years ahead, Business Intelligence Managers will draw deeper on these technical, business, and interpersonal skills. As technologies, regulations, and competitive pressures evolve, Business Intelligence Managers will be central to their company’s successful adaptation and response to these shifting priorities.

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