Qlik Cloud Analytics brings analytics, dashboards and AI together in one platform. Explore your data, uncover insights and use AI to find answers faster, spot patterns and make better informed decisions.
Qlik Partner since 2013
Qlik Cloud Analytics brings analytics, AI, predictive capabilities, reporting and automation together in one platform. It gives people different ways to work with data, from exploring dashboards and finding unexpected changes to asking questions, looking ahead and turning insights into action.
But having more technology available does not automatically lead to better analytics. Your data, applications and business logic still need to work properly underneath it.
At Bitmetric, we help you build that foundation, get more from the Qlik investment you already have and decide where newer analytics and AI capabilities can genuinely add value.
Qlik Cloud Analytics is the foundation for Qlik’s analytics capabilities. It combines interactive analytics with AI, predictive analytics, reporting, automation and embedded experiences in one cloud platform.
For users, that means there are now many more ways to interact with business data. They can explore dashboards, ask questions in natural language, discover changes they were not actively looking for, create predictions and connect insights to processes elsewhere in the business.
You do not need to use every capability. The right Qlik environment is the one that gives your users the information they need without creating unnecessary complexity or cost.
Qlik Cloud Analytics brings these capabilities into the same analytics environment. They can be used independently, but the real value comes from choosing the right combination for your users and business processes.
Create interactive dashboards that make business data easier to understand and explore.
Qlik’s associative analytics engine allows users to investigate relationships across their data instead of following a fixed path through predefined reports. Combined with the right data model and application design, this gives users the freedom to investigate what is happening and understand the detail behind the numbers.
Give users a conversational way to work with business information.
Qlik Answers allows people to ask questions in natural language and receive answers grounded in the information available to Qlik. This can make analytics more accessible to users who know the business question they want to ask without necessarily knowing which dashboard, filter or visualization contains the answer.
Important changes are not always the ones somebody remembered to look for.
Qlik’s discovery capabilities can help identify meaningful changes, anomalies and outliers in your data and bring them to the user’s attention. This gives people a starting point for investigation and can help surface developments that might otherwise remain hidden inside a dashboard or dataset.
Use patterns in historical data to understand what could happen next.
Qlik’s predictive capabilities can help organisations create and use machine learning models for use cases such as forecasting, customer behaviour, demand and risk. Predictions can then become part of the wider analytics experience rather than sitting in a separate data science environment.
Qlik is expanding analytics beyond AI that simply responds to a question.
Agentic Analytics introduces specialised AI agents that can help users investigate information, discover changes, work with predictions and move through analytical tasks. These capabilities can work together with Qlik Answers to create a more conversational and connected analytics experience. The aim is to shorten the distance between finding something important in your data, understanding what it means and deciding what should happen next.
Connect analytics to the processes that happen afterwards.
Qlik Automate can connect Qlik with other applications and workflows, helping organisations automate repetitive tasks, distribute information and respond to events in their data. This means an insight does not necessarily have to end with someone looking at a dashboard. It can become the starting point for another process.
Interactive dashboards are not the right format for every user or every situation.
Qlik’s reporting capabilities make it possible to create and distribute structured reports using the same analytics environment. This can support recurring management reporting, operational reporting and information that needs to be distributed to people who do not spend their day working inside Qlik.
Bring analytics into the applications and experiences where people already work.
Qlik analytics can be embedded into portals, applications and other digital experiences, giving employees, customers or partners access to relevant information without requiring them to move between separate systems.
Think of these capabilities as different ways of working with the same business data rather than separate pieces of technology. A dashboard can show that sales are declining in a particular area. Discovery capabilities can identify an unusual change that deserves attention. A user can investigate further using Qlik Answers and explore the information through natural language.
Predictive analytics can help determine what may happen if the trend continues. If something needs to happen as a result, automation can connect the insight to another workflow or system. Reporting can distribute the information to stakeholders, while embedded analytics can make relevant insights available inside another application. You may not need every step. What matters is creating an analytics environment where the capabilities you do need work together.
Connect and ingest data from any source
Use AI to clean, transform, and analyze in real time
Generate predictive, visual, and natural language insights
Automate actions and share insights across the business
We have been working with Qlik for more than 20 years. During that time, we have worked across different generations of the platform and helped organisations build, migrate, optimise and support their Qlik environments.
That experience gives us a practical view of new technology. We are interested in what Qlik’s latest analytics and AI capabilities can do, but even more interested in whether they make sense for your organisation.
Before adding something new, we look at your current Qlik environment and how it is being used. There may already be opportunities to improve performance, simplify applications, make better use of existing capabilities or solve the business problem without introducing additional technology.
Saving customers money is something we are good at. We look at capacity, subscriptions, application performance, architecture, and how Qlik is being used to identify where resources or budget may be going to waste. The goal is not simply to make Qlik cheaper. It is to make sure you are spending money on the parts that actually deliver value.
We do not recommend AI simply because it is available. We first make sure your existing analytics environment can give you the results you need. When AI can genuinely improve what you can do with your data, we help identify the right use case and make sure the foundation is ready to support it.
Our consultants work with Qlik every day across architecture, development, migrations, performance optimisation, analytics, automation and support. We can help with a new Qlik Cloud environment, improve an existing one or work alongside your internal team when you need additional expertise.
“For our local markets we needed more insights to support our salesteams and our EMEA management. Bitmetric created a user-friendly dashboard based on Qlik technology. They are really nice guys and very cooperative. All our questions and suggestions were quickly addressed.“
– Marco van de Lisdonk, Head of Sales Netherlands
“Bitmetric supported us in a clear and pleasant way in turning our FreshPortal data into insights into purchasing, sales, inventory levels, and margins. Thanks to the well-structured dashboards, we can easily compare different periods and adjust more quickly. Communication was clear, agreements were honored, and they actively thought along with us. The solution was also delivered exactly on time.“
– Teun Limmen Purchasing, Sales & IT
You may already have more capability available than you realise. Before investing in something new, it is worth understanding whether your current environment is giving you everything it should. There may be opportunities to improve performance, reduce costs, simplify the environment or make better use of capabilities you already have.
And when there is a strong case for AI, predictive analytics, automation or another Qlik capability, we can help you introduce it with the right foundation underneath it.
Ready to do more with Qlik and AI? Let’s look at your data, your Qlik environment and the problems you actually want to solve. Then we can figure out where AI makes sense.> Talk to our Qlik consultants
Qlik does not use the customer’s data to train any AI model external to the customer’s tenant. Any training of models internal to the customer’s tenant, such as using the machine learning aspects of Qlik Predict, is exclusively to the benefit of that customer and is not shared with others.
No. Customers may choose the cloud region to host their tenant based on the availability of Qlik’s AI products and capabilities. Once a cloud region has been selected, Qlik will only host the customer’s data in that region.
Yes, Qlik complies with all laws applicable to our business, including the EU AI Act.
Qlik’s AI would be classified under the EU AI Act as either (a) “general AI” with ‘Limited Risk’ for those AI features which can be used for general purposes (e.g., Qlik Answers), or (b) AI with ‘Minimal Risk’ for those AI features capable of performing narrow tasks (e.g., SQL Assistant and Dataset Description Assistant).
Qlik’s AI meets transparency and explainability requirements applicable to AI systems by flagging to customers and users (a) when they are interacting with AI, (b) where the output is generative AI generated, and (c) where relevant, explaining why/how the AI generated the response it did to assist with human review of the output.
Qlik’s measures to ensure compliance with the EU AI Act include:
Please note that Qlik’s AI offerings are not designed for and should not be used for High-Risk purposes under the EU AI Act or similar legislation around the world.
Although AI is set to transform specific areas of data analysis, it’s not likely that it will completely replace data analysts. Instead, AI can augment the capabilities of data analysts by automating repetitive tasks like data processing and visualization, thereby freeing up their time for more valuable endeavors. Due to the current limitations of machines in comprehending context and adapting storytelling to diverse scenarios, data analysts’ expertise and human judgment remain indispensable in the field.
Qlik Cloud Analytics is a cloud based analytics platform for exploring, visualizing and understanding data. It brings dashboards, self service analytics, reporting and AI capabilities together in one environment.
Qlik Answers is Qlik’s conversational AI solution. It lets users ask questions in natural language and get answers based on trusted business information.
Yes. The right migration approach depends on your current environment, applications, data connections and requirements. Bitmetric can help assess your environment and plan the move to Qlik Cloud.
We help organizations implement, optimize and get more value from Qlik. That includes Qlik Cloud Analytics, dashboards, AI capabilities, integrations, migrations and ongoing support.
Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.
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