Transforming Data Integration for a Private Equity-Backed Oil & Gas Enterprise - Data Ideology

CASE STUDY

Transforming Data Integration for Acquisitions & Business Decisions

Oil & Gas

Enterprise

Data Strategy

KEY CHALLENGE

A Private Equity backed oil and gas company was presented with a new set of data quality challenges each time an acquisition occurred, effecting the timeliness of critical business decision-making.

How did Data Ideology solve this organization’s challenges?

CHALLENGE SUMMARY

The organization, in a high growth phase, faced challenges as each new acquisition created a data silo. Legacy data warehousing methods made it difficult to integrate new data, resulting in decentralized, siloed information with no single source of truth. This lack of integration hindered accessibility and delayed business insights, making it nearly impossible to gain real-time, accurate data for timely decision-making.

SOLUTION SUMMARY

We developed a data strategy to support the organization's growth and integrate acquired data. This included creating a modern data platform to centralize information and modernizing data warehousing with a focus on data quality and governance. By aligning people, processes, and technologies, the organization was empowered to make better, more timely business decisions.

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Unpacking the Insights: A Deeper Dive into Our Approach

THE CHALLENGE

A private equity-backed oil and gas company, which had completed over 60 acquisitions in six years, faced a complex set of data quality challenges each time an acquisition occurred. Each acquisition introduced new data silos, and the organization struggled with:

  • Outdated Data Warehousing: The reliance on legacy data warehousing methods hindered the integration of data from new acquisitions.
  • Decentralized Data: No single source of truth existed, leading to fragmented data across multiple systems and limited accessibility.
  • Delayed Business Insights: The decentralized data and outdated systems made it difficult to provide real-time, accurate insights, impacting the timeliness of critical business decisions.
  • ERP and Salesforce Complexity: Over 8 different ERP systems and multiple versions of Salesforce were being used across the company, further complicating the integration process.
  • Lean Data Team: The organization’s lean data team struggled to manage the increasing volume of data, and financial planning and analysis (FP&A) for additional acquisitions became cumbersome without trusted, unified data.
  • Lack of Visibility: No single source of customer, product, or transaction data existed, limiting insights into key metrics like accounts receivable and supply chain performance.

DATA IDEOLOGY’S SOLUTION

Data Ideology implemented a comprehensive data strategy to address these challenges, focusing on centralizing data, modernizing warehousing methods, and enabling organizational transformation.

  • Centralized Data: A new data strategy was built around a modern data platform that centralized customer, product, and transaction data. This enabled the organization to break down data silos and establish a single source of truth across all acquisitions.
  • Improved Data Warehousing: Data Ideology modernized the company’s data warehousing methodologies, ensuring that data quality, governance, and accessibility were enhanced. This allowed for seamless integration of data from various ERP and CRM systems, including multiple versions of Salesforce.
  • Organizational Transformation: The company’s processes and technologies were aligned, empowering the business to make timely and informed decisions. The solution also enabled rapid organizational change by simplifying data management and reducing dependency on the lean data team.

THE RESULTS

Data Ideology’s solution delivered substantial improvements across the organization:

  • 360-Degree Customer View: The company now benefits from a comprehensive view of customer interactions across platforms, brands, and marketing campaigns.
  • Product Analytics: The integration of data enhanced product analytics, which improved supply chains, inventory selection, and product lifecycles. This led to smarter, more sustainable business operations, with better products at competitive prices.
  • Optimized Operations: Centralized data on customers, products, and transactions resulted in more efficient business processes, higher profits, and improved customer satisfaction.
  • Streamlined Acquisitions: The platform significantly eased the process of integrating new acquisitions, providing a reliable data foundation that supported faster and more accurate FP&A processes.
  • Improved Financial Planning & Analysis: The cumbersome FP&A processes were streamlined, providing more accurate and trusted data for financial projections and acquisition-related decision-making.

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