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Pivotal BI

4.8·132 reviews
Location
London, GB
Employees
2 employees
Certifications
1 certification
Small and Midsize Business Management

What does Pivotal BI do?

Pivotal BI is a specialized consultancy focused on delivering advanced business intelligence solutions. Utilizing Microsoft Power BI and the Power Platform, the company empowers organizations across various sectors, including financial services, healthcare, and professional services, to harness the power of data. Pivotal BI offers a comprehensive suite of services, ranging from business process consulting and analytics to custom Power Platform development. The company is dedicated to transforming data into actionable insights, enabling clients to make informed decisions and drive business growth. With a team of experienced professionals, Pivotal BI is committed to providing tailored solutions that meet the unique needs of each client, ensuring optimal performance and efficiency.

What do clients say about Pivotal BI?

Client reviews

4.9(112 reviews across client platforms)
What clients are sayingabout Pivotal BI

Pivotal BI boasts an impressive 4.8/5 rating from 132 reviews, often praised for its collaborative culture and innovative environment. Employees appreciate the exciting projects and teamwork but note challenges with leadership organization and career growth opportunities. While leadership's support for innovative projects is a strength, the need for more structured direction is a common theme.

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Collaborative Culture(12)
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Leadership Organization(10)
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Career Growth(8)
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Innovative Projects(6)
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Fast-Paced Environment(5)
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Office Politics(3)
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Supportive Team(5)
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Compensation(4)
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Learning Opportunities(4)
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Multiple Roles(3)
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Work-Life Balance(2)
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Flexibility(2)

Generated from client reviewer feedback across all platforms

Breakdown by platform

  • Google
    4.9(112)

Reviews on Top Dynamics Partners

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Working at Pivotal BI

Employee reviews

4.0(20 employee reviews)

Breakdown by platform

  • Glassdoor
    4.0(20)

Microsoft Certifications

These credentials are issued by Microsoft to partners who meet advanced performance, capability, and customer-success criteria.

Specializations

Tech Stack
WordPressGoogle AnalyticsjQueryTailwind CSSBootstrap

Insights & blog posts from Pivotal BI

6 posts analyzed

Data Governance Platforms

Data GovernanceApr 15, 2024For: Data governance professionals and IT managers

Data governance platforms centralize organizational efforts, enhancing collaboration and productivity with tools like data cataloguing, quality management, and AI-enhanced automation. These platforms prevent governance silos and are most effective when implemented after defining a strategy with clear principles and processes. Key features include comprehensive metadata management, data security capabilities, and operational efficiency tools, making them vital for successful data governance programs.

Key takeaways

  • –Data governance platforms centralize governance efforts, improving communication and collaboration across organizations.
  • –These platforms enhance productivity with integrated tools for data cataloguing, quality, and lineage management, often leveraging AI.
  • –Implementing a platform too early may be costly and inefficient; a defined strategy and processes should precede platform adoption.
  • –Key components of these platforms include metadata catalogues, data quality functions, and data security features.

Data Governance Frameworks

Data ManagementApr 14, 2024For: IT managers and data governance professionals

Data governance frameworks such as DAMA DMBOK and the Data Governance Institute Framework provide essential structures for organizations looking to implement effective data governance. These frameworks guide the implementation process through defined structures, roles, and processes, accommodating varying organizational needs. By using agile methodologies, organizations can create tailored data governance programs that prioritize stakeholder needs and deliver value efficiently, even within small to medium enterprises.

Key takeaways

  • –Data governance involves multiple frameworks that cater to different organizational needs, such as DAMA DMBOK and the Data Governance Institute Framework.
  • –Each framework provides a unique structure for implementing data governance, with some focusing on governance rules while others emphasize data management aspects.
  • –The implementation of a data governance framework should be guided by business requirements, stakeholder priorities, and an agile methodology for effective progress.
  • –For small to medium enterprises, a tailored and lighter approach to data governance can address essential concerns without overwhelming resources.

Getting Started with Data Governance

Data GovernanceApr 13, 2024For: IT managers and data governance teams

Successful data governance initiatives hinge on strong stakeholder engagement and structuring data into manageable 'data domains'. By establishing a Data Management Office and Data Council, organizations can ensure consistency and oversight. Key to this process is developing strategy principles and core policies that guide governance efforts and enhance business capabilities.

Key takeaways

  • –Effective data governance requires strong business buy-in and involvement of stakeholders from data architecture, legal, and infrastructure management.
  • –Identifying and organizing data into 'data domains' is crucial for managing governance across teams and departments.
  • –A Data Management Office and Data Council can provide oversight and consistency in governance initiatives.
  • –Developing strategy principles and core policies is essential to reinforce governance efforts and ensure business value.