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  • Breaking Data Silos - Overcoming the Paradox of Analytics
Publication:

Breaking Down Data Silos: Overcoming the Paradox of Analytics

11 June 2023

Introduction

In the digital age, the world is witnessing an unprecedented explosion of data. With over 3 billion internet users, businesses have access to a vast amount of information generated by customer interactions, social media, and connected devices. However, despite this wealth of data, organizations are struggling to harness its full potential due to the existence of data silos. This article explores the root causes of the paradox of analytics and proposes actionable solutions to overcome this challenge.

The Rise of Data: A Double-Edged Sword

The proliferation of digital technology, particularly the Internet of Things (IoT) or connected devises, has fuelled the rapid growth of data. IoT has become a key contributor to the data explosion and it is estimated by Statista, an online data platform, to reach 29.42 billion connected devises by 2030. Furthermore, social media, cloud computing, artificial intelligence, and advanced analytics have all played significant roles in expanding data volumes.

Unleashing the Full Power of Data

Despite the availability of vast amounts of data, only a fraction of it, around 5-10%, is being effectively utilized for informed decision-making. The primary roadblocks to maximizing the value of data are data silos and management difficulties, as highlighted by a study conducted by Microsoft. Approximately 80% of organizations struggle to become mature users of data, hindered by the fragmentation of data across various sources within the organization.

The Impact of Data Silos on Businesses

Data silos hinder collaboration, impede data-driven decision-making, and hamper customer experiences. When data scientists face difficulties accessing databases from different departments, regions, or business units, the process of building robust models becomes arduous. Lack of coordination and collaboration between teams leads to inefficiency and delays in reporting. Inconsistencies, missing data, and increased IT costs are all indicators of the existence of data silos within an organization.

Breaking Down Data Silos:The Path to Overcoming the Paradox of Analytics
To address the challenges posed by data silos, organizations must prioritize breaking down barriers and promoting collaboration across departments and business units. Consistency in the use of data collection and processing applications should be encouraged whenever possible. When uniformity is not feasible, integration between applications becomes crucial for seamless data flow.

Investing in a high-quality business intelligence (BI) team is vital to harmonize and process data from multiple sources. This team, consisting of ETL (Extract, Transform, Load) developers, can collect transactional data, apply business rules, and load it into a centralized data warehouse, creating a single repository.

Microsoft's Azure Synapse Analytics (ASA), for example, offers a powerful solution for collaborative data work. It enables data engineers, data scientists, and data analysts to work together within a single workspace, leveraging shared resources. The ASA's built-in pipelines and data flows streamline ETL activities, while Apache Spark Notebooks empower engineers and scientists to build AI and machine learning algorithms. Furthermore, integration with Power BI allows analysts to create reports on the Azure Data Lake Storage and SQL Pool.

Conclusion

Overcoming the paradox of analytics requires concerted efforts to break down data silos and foster collaboration within organizations. By promoting consistency in data applications, encouraging integration between systems, and investing in robust business intelligence teams, organizations can unlock the full potential of their data. Embracing technologies like Azure Synapse Analytics enables seamless collaboration, accelerating the journey towards data-driven decision-making and enhanced customer experiences.

 For further information, please contact the following to discuss these matters in the context of your particular circumstances.  

Segun Adewumi 
Advisory, Financial Modelling & Valuation Consultant 
T: +234 0903 471 7589 
E: sadewumi@bdo-ng.com