Editorial & Advertiser disclosure

Global Banking & Finance Review® is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

Home > Top Stories > HYBRID CLOUD ANALYTICS – DON’T BE CLOUD-WASHED

HYBRID CLOUD ANALYTICS – DON’T BE CLOUD-WASHED

Published by Gbaf News

Posted on March 28, 2017

8 min read

Last updated: January 21, 2026

Sterling currency symbol with background of fluctuating financial graphs - Global Banking & Finance Review — Image depicts the Sterling currency symbol alongside financial graphs illustrating its stability against the dollar. This relates to the article discussing the pound's performance amidst recession fears in Britain.

Drew Clarke, Qlik VP, Cloud

Not surprisingly, with all the momentum in hybrid cloud infrastructure, we’re starting to hear the term “Hybrid Cloud Analytics” pop up in the modern Business Intelligence (BI) market. However, it’s a term that is being overused and misunderstood as those in the industry seek to align with the latest trend. We see the future value of hybrid cloud computing as helping to empower customers to embrace a cloud strategy of their own versus having it dictated to them by a vendor.

A hybrid cloud environment is defined by the customer. What do I mean by that? I mean that a hybrid cloud solution should not dictate where or which cloud the customer must use with their on-premise installation. Although this point should seem obvious, some large vendors in the space are ignoring this critical point, as they dictate choices based on their (lack of) capabilities.

There’s a lot of confusion about what is possible with hybrid cloud analytics so I will offer to clarify what hybrid is, and what it’s not. I will break down into 3 parts:

Cloud – a delivery mechanism, not a solution

I’m surprised by the number of market entrants that were born in the cloud, and use that as their core differentiation. Cloud computing is a delivery vehicle. Simple visualizations of data via the cloud are not going to drive business value. As the pioneer and leader in the modern BI market, we’ve learned that customers need both a broad and deep analytical approach to better visualize, explore and understand their data. This is important to become more

informed, gain new insights and make better decisions to derive real business value through analytics. Having a dumbed-down analytics solution that is delivered via the cloud is just going to keep you behind your competition. Having said that, we do see value in cloud delivery of world-class analytics, which many customers currently deploy on their own private clouds.

Hybrid – a hybrid approach to analytics just makes sense

Today, companies need a choice of deployment options, whether on-premise or in a private cloud leveraging the infrastructure of their choice. They get to choose where they want analytics to run.

However, the truth is that an either-or choice does not truly represent where the vast majority of customers are today in their IT investments, and where they plan to be over time. Most customers that we talk to have both data and applications that run on-premise, behind their firewall, as well as data and applications that both originate and run in the cloud. The world is not black and white; it has many shades of grey. That’s why a true hybrid approach is required to help support both where customers are today, as well as help them migrate more of their workloads off-premise over time as they so choose. A hybrid cloud approach to analytics is key to enabling a customers’ cloud strategy vs. dictating it. This is why the trend is pointing toward hybrid cloud analytics.

Hybrid Cloud Analytics – Full centralized control of all data, wherever it resides

The simple definition of hybrid cloud is a computing environment that uses a mix of on-premise, private cloud, and/or public cloud infrastructure to deliver services, with orchestration between the platforms. This could be hybrid cloud joins multiple clouds – or on-premise installations with cloud-based installations. Under that general definition, many vendors will claim “hybrid cloud analytics” in their marketing verbiage. Although being able to publish an analytical application (or sheet for some) from an on-premise installation to a cloud offering could be valuable, it is not hybrid cloud analytics.

Where the data resides in a true hybrid cloud analytics solution should not matter to the user who could access it from any device based on their role and security permissions. A properly governed solution allows you to define rules around where data and/or the analysis on that data can be stored or run – you can create enforcement rules on where things can and will reside based on the sensitivity and security of that dataset. It should be easy to manage user entitlements and licensing between the platforms. A hybrid cloud analytics solution must allow for bi-directional migration to/from one infrastructure environment to another and should be managed as one, seamless environment across infrastructure boundaries via a single console.

This is where the future of true hybrid cloud analytics is headed because these are the considerations IT leaders are taking to safeguard their data while gaining the flexibility and scalability for more self-service use of data in the cloud.

Drew Clarke, Qlik VP, Cloud

Not surprisingly, with all the momentum in hybrid cloud infrastructure, we’re starting to hear the term “Hybrid Cloud Analytics” pop up in the modern Business Intelligence (BI) market. However, it’s a term that is being overused and misunderstood as those in the industry seek to align with the latest trend. We see the future value of hybrid cloud computing as helping to empower customers to embrace a cloud strategy of their own versus having it dictated to them by a vendor.

A hybrid cloud environment is defined by the customer. What do I mean by that? I mean that a hybrid cloud solution should not dictate where or which cloud the customer must use with their on-premise installation. Although this point should seem obvious, some large vendors in the space are ignoring this critical point, as they dictate choices based on their (lack of) capabilities.

There’s a lot of confusion about what is possible with hybrid cloud analytics so I will offer to clarify what hybrid is, and what it’s not. I will break down into 3 parts:

Cloud – a delivery mechanism, not a solution

I’m surprised by the number of market entrants that were born in the cloud, and use that as their core differentiation. Cloud computing is a delivery vehicle. Simple visualizations of data via the cloud are not going to drive business value. As the pioneer and leader in the modern BI market, we’ve learned that customers need both a broad and deep analytical approach to better visualize, explore and understand their data. This is important to become more

informed, gain new insights and make better decisions to derive real business value through analytics. Having a dumbed-down analytics solution that is delivered via the cloud is just going to keep you behind your competition. Having said that, we do see value in cloud delivery of world-class analytics, which many customers currently deploy on their own private clouds.

Hybrid – a hybrid approach to analytics just makes sense

Today, companies need a choice of deployment options, whether on-premise or in a private cloud leveraging the infrastructure of their choice. They get to choose where they want analytics to run.

However, the truth is that an either-or choice does not truly represent where the vast majority of customers are today in their IT investments, and where they plan to be over time. Most customers that we talk to have both data and applications that run on-premise, behind their firewall, as well as data and applications that both originate and run in the cloud. The world is not black and white; it has many shades of grey. That’s why a true hybrid approach is required to help support both where customers are today, as well as help them migrate more of their workloads off-premise over time as they so choose. A hybrid cloud approach to analytics is key to enabling a customers’ cloud strategy vs. dictating it. This is why the trend is pointing toward hybrid cloud analytics.

Hybrid Cloud Analytics – Full centralized control of all data, wherever it resides

The simple definition of hybrid cloud is a computing environment that uses a mix of on-premise, private cloud, and/or public cloud infrastructure to deliver services, with orchestration between the platforms. This could be hybrid cloud joins multiple clouds – or on-premise installations with cloud-based installations. Under that general definition, many vendors will claim “hybrid cloud analytics” in their marketing verbiage. Although being able to publish an analytical application (or sheet for some) from an on-premise installation to a cloud offering could be valuable, it is not hybrid cloud analytics.

Where the data resides in a true hybrid cloud analytics solution should not matter to the user who could access it from any device based on their role and security permissions. A properly governed solution allows you to define rules around where data and/or the analysis on that data can be stored or run – you can create enforcement rules on where things can and will reside based on the sensitivity and security of that dataset. It should be easy to manage user entitlements and licensing between the platforms. A hybrid cloud analytics solution must allow for bi-directional migration to/from one infrastructure environment to another and should be managed as one, seamless environment across infrastructure boundaries via a single console.

This is where the future of true hybrid cloud analytics is headed because these are the considerations IT leaders are taking to safeguard their data while gaining the flexibility and scalability for more self-service use of data in the cloud.