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Dresner ADI report 2022: 5 top use cases for analytics platforms – and how they rate Exasol

Dresner - Exasol

The Dresner Advisory Services Wisdom of Crowds 2022 Analytical Data Infrastructure (ADI) Report has landed. The annual study is a vital resource for shining a light on what leading organizations want (and get) from their data analytics platforms. It also ranks vendors like Exasol from the perspective of our customers – with exciting results.

For the fifth year in a row, Exasol was given a perfect recommendation score, meaning that 100% of our surveyed customers would recommend our analytics database to others. We were also ranked best-in-class across an impressive 20 measures, including customer experience, product knowledge, technical support, value and integrity.

Located in the upper-right quadrant of the Vendor Credibility model, Exasol is rated as giving customers a high value service, resulting in strong confidence in the company.

Why the Dresner ADI report matters

Dresner is one of the most respected analyst houses in the business intelligence sector. The report matters because it’s such an in-depth look at the market, with customer feedback to help you choose the right analytics platform for your organization – one that will give you the best performance, while balancing cost, easy ofdeployment and scalability. This customer element is crucial. Afterall, these are the people who are likely to be facing the same challenges as you.

How analytics platforms are used – and what users want more of

Each year, the Dresner ADI report is an excellent gage for the major trends and areas of interest for analytics end users. This year was no exception. Here are the main ways that ADI customers like you are using their analytics platforms – and what they’re demanding more of.

A need for better reporting

The top use case from respondents was a need for business reporting and dashboards. Data insights are increasingly seen as a vital way to stay competitive with increased business uncertainty. 

At Exasol, we’ve made sure our analytics database enables users to self-serve, with real-time access to relevant information when you need it. This means you can give everyone who makes and influences decisions access to the data they need, in a way they understand. So, they can focus more on their job, rather than trying to grapple with data. It also removes bottlenecks to information – as you may be able to reduce the need for IT specialist or data scientists.

Cloud and hybrid deployment

The majority of Dresner ADI report respondents said they wanted cloud deployment (SaaS deployment versus on-premises). This is likely due to the relatively lower costs of data storage when dealing with smaller volumes of data. But they also identified a demand for hybrid deployments. 

It’s not surprising. In these unpredictable times, you need an agile strategy – with flexibility and choice in the deployment models you use. 

Exasol give you the freedom to deploy on any of the major models – from on-premise and hybrid, to a pure SaaS offering – so you can get started right away. And the use of virtual schemas in our analytics database enable you to analyse data regardless where it resides, without the need to move your data.

Data integration and management tools for hybrid

With more users opting for hybrid deployment methods there’s a risk that it could lead to greater fragmentation in data infrastructure – which could potentially be tricky to manage. That’s why the report has seen an increased demand for data integration and management tools for hybrid ADI platform deployments.

With the recently launched Exasol SaaS Edition, you can rely on Exasol to be a bridge to and from the cloud – enabling a two-way flow of data, at a speed and migration rate that suits you. Our powerful database allows you to modernise your existing legacy infrastructure and bring together all your data. By doing so, you’ll be able to leapfrog the barriers to effective business analytics, delivering reports in seconds, improving productivity, and putting decision makers back in control over their technology.

In memory and science go hand in hand

More than 50% of Dresner ADI report respondents said in-memory is a priority in their choice of platform. This has remained steady over the past 4 years. One of the reasons for this is the growing business demand for science use, which needs a lot of performance and scalability.

Exasol’s architecture means you can perform advanced analytical tasks on large volumes of data – right in the database. And we don’t impose limitations on you – it works with whatever science programming language you’re using (including R, Loading...Python, Loading...Java, Lua).

We’ve also made it easy to bring Loading...Artificial Intelligence (AI) and Loading...Machine Learning (ML) algorithms and Business Intelligence (BI), directly to where you keep your data. This means that you’re better equipped to solve complex analytical challenges like Loading...predictive analytics.

Increased security needs

Security and performance lead the selection priority for ADI platforms. This has been rated top for the fourth year running. Around 80% of respondents viewed it as critical or very important. 

We’ve built in enterprise-class security and compliance to protect your data. This includes everything from data protection and row-based access control and fine-grained privileges, to the latest data encryption. Along with Native integration with cloud security services on AWS, Azure and Google Cloud Platform.

What next?

For more insights and information from the Dresner ADI report, download the full report now.

What does the Dresner ADI report assess?

The report provides a detailed picture of perceptions, intentions, and realities associated with analytics data infrastructure (ADI) platform choices. It examines market preferences for ADI platforms including:

  • deployment and licensing priorities
  • data types
  • data modelling and management of data associated with ADI
  • data preparation and loading priorities

All vendors are assessed against 33 measures, including 12 product measures on a five-point scale for each. The criteria used covers:

  • sales and acquisition experience
  • value for the price paid
  • quality and usefulness of product 
  • quality of technical support 
  • quality and value of consulting services 
  • whether the vendor is recommended by customers
  • vendor credibility and integrity

To learn more, download the full report now.