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Dresner’s 2023 Analytical Data Infrastructure Study: 5 key trends and how Exasol ranks

If you want to execute a successful data analytics and BI strategy, a clear understanding of how different Analytical Data Infrastructure (ADI) platforms can help you achieve your objectives is non-negotiable. That’s why Exasol has participated in Dresner Advisory Services’ 2023 ADI Market study, which identifies what your peers in different industries are seeing as the most important use cases and features/capabilities for ADI platforms.

As referenced in the report, since ADI use cases could require access to different data sets for analysis and use different workflows and data pipelines, it’s essential to fully understand the capabilities of a product before you commit to an investment, especially in the midst of almost universally tighter budgets in 2023. So we’ve broken down some of the key findings for you in this blog.

Read on to find out:

  • Key trends Dresner is seeing in the ADI market
  • Why Exasol has been named an Overall Leader in the Customer Experience and Vendor Credibility models in the Dresner Advisory Services Wisdom of Crowds® 2023 Analytical Data Infrastructure (ADI) Report

Priority Analytical Data Infrastructure use cases

BI still popular but analytics are advancing

Business user reporting and dashboards remain the top priority use case for ADI platforms, among participants in this year’s report. While the demand for traditional BI use cases is still as strong as ever, the report has identified increasing prioritisation of science and embedded analytics, indicating a greater maturity in ADI platforms and the growing demand for more predictive and or prescriptive insights. 

Data science use case on the rise

More than half of the respondents in the report rated data science as either a ‘critical’ or ‘very important’ use case. This sentiment is particularly prevalent in financial services, where organisations actually rank data science as their highest priority use case. When assessing analytical features it’s not surprising to see statistical analysis, user defined functions and Loading...machine learning increase in importance. However, organisations should bear in mind that there will be heightened scrutiny on the ROI delivered against AI investments in 2023, making it more important than ever to get the right tools and technologies to scale and operationalise AI. Data scientists and data engineers will also need to collaborate closely to make a success of AI/ML deployment, ensuring that ML scoring models created by data scientists, for example, are properly integrated into production systems and processes by data engineers.  

Deployment priorities

A shift towards cloud but flexibility is needed

The report outlines that the “diversity and scale of BI and analytic use cases require new technology, development, and deployment options that can span from on premises to in the cloud, and support data/analytic workflows at high scale and security.” This range of use cases has also led to a greater diversity of ADI products, as well as the fragmentation of these platforms and the creation of data siloes within organisations. In this context, setting a clear data strategy to scale analytics use cases across an organisation can be a real challenge.

In line with broader industry trends, Dresner’s Analytical Data Infrastructure report found that the majority of business functions prefer a cloud deployment versus on-premises software. Not surprisingly, healthcare and financial services respondents indicate a higher-than-average preference for on-premises, most likely due to higher levels of industry regulation and compliance requirements. Organisations with more than 1,000 employees also show a slight tendency towards on-premises software.

As organisations increasingly transition to the cloud, the report has identified hybrid deployments (cloud, multi-cloud and on-premises) as a growing ADI platform priority. This diverse data platform environment makes the need to support cross data centre integration and management ever more critical, in order to help manage data integration and governance.

High preference for subscription and concurrent use licensing model

Closely related to the growing preference for as-a-service deployment, organisations are prioritising subscription licensing models. Concurrent use-based licensing models are also proving popular, particularly among bigger organisations that need to support large numbers of concurrent users online.

Performance 2nd highest selection priority for analytical data infrastructure platforms 

Overall security, performance, and scalability are generally the highest priorities for ADI platforms, while price continues to grow in prominence each year when organisations consider selecting an ADI product.

How Exasol can make a difference for you

Exasol can deliver against each of these priorities, as the world’s best-performing and cost-efficient analytics database across the cloud, on-premise or hybrid. And our customers back up this statement in the Dresner 2023 ADI Market Study, with 100% of those who participated in the report stating that they would recommend Exasol.

Based on the input from our customers, Exasol has been ranked an Overall Leader in the Customer Experience and Vendor Credibility models. We’ve also been rated as best-in-class for 20 measures including overall value, overall integrity, product completeness of functionality, all sales and acquisition measures, and most technical support and consulting measures.

To find out why we’ve ranked so highly against our competition and to dig into the market trends Dresner’s analysts have identified, download the report here.