Data environments are a key component of corporate strategy. This report explores a new breed of data warehouse that can operate in a world of legacy on-premise systems while exploiting the potential of cutting edge technologies and deployment styles.
Keeping up with Analytical Demand
Aberdeen’s research shows that those tasked with supporting an elevated level of analytical activity face a variety of daunting challenges when it comes to data (Figure 1).
Companies are eager to exploit different forms of data but the infrastructure is often ill-equipped to house disparate types (e.g. unstructured social media, location-based data) and make them accessible. Moreover, along with new data sources comes human error, lack of manpower and issues with data quality and usability.
Best-in-Class Data Management
Best-in-Class companies focus on hybridity both in its data infrastructure and analytical tools. Aberdeen’s data preparation report demonstrated several defining characteristics of Best-in-Class companies. These leading companies look to build out capabilities in three areas of technology:
- Rapid retrieval: Best in Class companies are leveraging cutting-edge data warehouse technology that allows rapid retrieval from large and complex environments.
- Flexible deployment: Analytically-inclined companies have invested in the deployment of SaaS, public cloud, private cloud, or traditional on-premise solutions.
- Scalability: Open-source technologies like Apache Hadoop allow for large scale management of different data types.
The research shows that Best-in-Class companies are leveraging technologies to improve the above-mentioned areas (Figure 2).
Characteristics of the Modern Day Warehouse
Companies with a modern data warehouse approach are able to exploit the growing volume of data as well as the expansion of data types (Figure 3).
Combining traditional data with other forms of information as shown in Figure 3, can provide important correlations to inform critical decisions. Companies taking a hybrid data warehouse approach can exploit these opportunities for enriched analyses and new insight. Furthermore, these companies are more likely to report user satisfaction in several key areas of the data environment (Figure 4).
Driving Business Outcomes
The research shows that these companies experienced elevated performance against three key metrics (Figure 5).
By focusing on data fluidity these organisations are able to deliver against the urgent demands of its customer base, thereby helping customer retention and satisfaction.
- Data silos are a major problem (and an opportunity)
- Top companies explore cutting-edge data warehouse technology
- The results are enticing and attainable
Aberdeen Group has been an international research partner of Nebula since 2010. With thousands of research documents, growing daily, Aberdeen’s research library helps enterprises and service providers discover the priorities and strategies of best-in-class enterprises.
Besides Nebula’s insight and research services, we also provide services to help large enterprises assess, optimise and manage their enterprise ICT environments.
Should you be interested in finding out more about Nebula’s services or discussing this research, please send us an email indicating your requirements to ContactUs@nebula.co.za