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Digital Transformation Series: Data is Power

February 21, 2024

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This article is part of a two-part Digital Transformation series. In Part I of this series, we will delve into the role of big data and visual analytics, and examine how organizations can leverage these technologies to develop a robust data strategy.

At a Glance

The ability to harness big data is important for organizations to make better decisions, improve operational efficiency, and innovate.
By visualizing data, organizations can gain a competitive advantage by simplifying data to reveal patterns, trends, and correlations that might not otherwise be invisible.
Unlocking the power of big data and visual analytics in an organization requires a well-defined data strategy.
There are four components to a well-defined data strategy: data requirements, data governance, data architecture & technology, skills & capacity.

We live in a world awash with data. Governments and businesses are grappling with large volumes of data in multiple sources. This is known as big data. The volume and complexity of data has made it increasingly difficult to extract meaningful insights at the right time. However, with the right implementation approach and business consulting services, organizations can centralize and transform disparate data sources.

The ability to harness big data is crucial for organizations to make better decisions, improve operational efficiency, and innovate. Enter visual analytics, a powerful tool that breaks down the barriers between your organization and the data available to it. This tool brings relevant insights of your data and aggregates numbers into images, enabling everyone in an organization to access and understand the complex data sets. By visualizing data, organizations gain a competitive advantage because simplified data reveals patterns, trends, and correlations that might not otherwise be invisible.

Did you know?

Consulting has partnered with a prominent real estate investment fund company known for managing a diversified portfolio of real estate assets. Their portfolio includes commercial, residential, and logistics properties across Japan, China, South Korea, Australia, and Southeast Asia. With a strong emphasis on operational efficiency and risk management, the company constantly seeks opportunities to optimize its portfolio through cost-effectiveness measures and innovative approaches.
Following a thorough assessment of the business, Consulting was appointed to improve the company’s data management and technology infrastructure. For this project, Consulting developed a comprehensive a data strategy and technology strategy that included the following key initiatives:
- Developed a data dictionary to ensure consistent understanding and use of data across the organization.
- Established clear data model requirements, as well as guidelines for data usage and storage.
- Implemented the necessary technologies to align with and achieve the project’s objectives.

Powerful tools for businesses

Big data and visual analytics are two powerful tools that organizations can use to:

Identify patterns and trends: Long-term data analysis reveals hidden trends, enabling predictive insights and optimizing resource allocation.
Improve decision-making: Comprehensive data understanding drives informed decisions from product development to marketing campaigns. These can lead to increased profits and improved efficiency.
Gain insight into customer behavior: Organizations can glean valuable insights into customer preferences by analyzing customer interactions. This information can help to improve the customer experience and increase sales.

The first pillar focused on Process Maturity & Governance, implementing a structured governance model aligned with strategic goals.
The second pillar involved Business Intelligence (BI) Integration, developing a data-driven approach for tracking performance and optimizing workload distribution.
The third pillar addressed Standardization & Efficiency Gains, applying SIPOC methodology to define process responsibilities, eliminate redundancies, and ensure consistency.

To guide the initiative, a customized opportunity ranking system was created, prioritizing initiatives based on their expected return to ensure high-impact changes were addressed first. The approach also emphasized cross-functional collaboration, actively involving department leaders in the transformation process.

“We were able to identify all the workload of our employees, redundancies, and manual activities that can be automated, generating inputs for a digital transformation.”

Executive Manager of People

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“This journey was important because we revisited processes that were stagnated in a previous model, which, with the rapid growth of our company, needed to be updated and streamlined, ensuring our efficiency.”

Administrative Director

The four components of a data strategy

Unlocking the power of big data and visual analytics in an organisation requires a well-defined data strategy. The data strategy component outlines the data requirements, data governance, data architecture and technology, as well as skills and capacity to meet business needs and strategy.

When these data strategy components are met, businesses can meet their pre-established needs and strategy.

By implementing a robust data strategy, organizations can improve operational performance through the secure management of their operations. Aligning activities with medium- and long-term integrated planning, allocating resources efficiently, and monitoring key performance indicators (KPIs) drive overall business success.
In addition, a well-defined data strategy strengthens governance and compliance efforts. By leveraging functional capabilities, organizations can exceed safety, production, and cost related KPIs. Leveraging data-driven insights optimizes operations, mitigates risk, and improves governance practices, ensuring compliance with local and international regulations, and industry standards.
The strategic use of data and analytics enables organizations to make informed decisions. Businesses can meet cost and production targets, identify areas for improvement, and therefore, drive transformational change that aligns with their overarching goals.
Furthermore, organizations benefit from improved strategy and overall delivery by analyzing performance and aligning their actions with strategic goals, optimizing the overall delivery process for greater success.
A structured data strategy streamlines portfolio management through the development of execution roadmaps. Effective management of project portfolios ensures alignment with sustainability targets, tracks progress, and drives successful outcomes.

“We aligned our budgetary strategy with the new organizational model, ensuring that processes are met within the agreed service levels.”

CFO

Stay tuned for part II of this series, where we will explore the role of the data transformation approach and the digital transformation approach, particularly in the context of big data and visual analytics.

The project successfully delivered significant efficiency improvements across the client’s back-office operations. The introduction of the BI system proved crucial, enabling real-time performance tracking that significantly improved visibility and decision-making capabilities.

Process standardization, alongside workload optimization initiatives, effectively reduced administrative inefficiencies, leading to better resource utilization and enhanced cost control. Furthermore, the transformation established a scalable governance framework, which strategically positions the client for sustainable operational excellence and supports long-term business growth.

*We have intentionally omitted client-specific details to maintain strict confidentiality.  

Keen to begin your digital transformation journey?