BLOG

Data security, KPI Pulse, Small Data Reporting John-Paul Dellaputta Data security, KPI Pulse, Small Data Reporting John-Paul Dellaputta

BI | Power BI and Qlik -BI | Some interesting changes at Qlik and what to look for in a business intelligence solution

At Advance, we work with tools like Qlik and Microsoft Power BI when delivering business intelligence solutions to provide actionable insights for our clients.

At Advance, we work with tools like Qlik and Microsoft Power BI when delivering business intelligence solutions to provide actionable insights for our clients. Both tools are market leaders and each vendor has a slightly different approach in delivering new insights. We wanted to take a look at some recent changes in Qlik’s licencing model that enables a more complete BI solution and our view on areas to consider when looking at BI tools.

Want to know more about BI and some outcomes we have delivered? We are passionate BI experts. Get in touch here.

Why would you want a BI solution?

BI offers new actionable insights into your business and will empower employees, deliver automated, efficient reporting and analytical dashboards. BI offers insights to provide new and improved:

  • Revenue streams

  • Customer experiences

  • Business processes

  • Competitive insights

  • Business performance

  • Collaboration

  • Unexpected benefits along the way

When looking at a BI solution it is important to take a holistic view of what you are trying to achieve and the key ingredients in the solution. Here are some important considerations:

  • Guided analytics and distributed reporting or self-service analytics.

  • Is a mobile solution required?

  • Existing applications and business systems.

  • User skill levels / Experienced developers, business users or both.

  • Security.

  • Data / Access / Quality / Volume.

  • Time to value.

  • Maintenance - BI solutions often require ongoing development and support.

  • Cost.

Cost needs to be looked at closely, and we mean the total cost of the software, consulting services and training to get a result. It is important to consider ongoing maintenance of the system. It is common for management to ask for further information, new reports, calculations, different formatting and inputs from additional systems.

One BI tool may offer better performance but if it is 10x the cost of its rival and the implementation and support costs are much higher, it will be a difficult business case to justify, unless there is some critical feature like security for regulatory compliance that is a non negotiable requirement. Qlik is very strong in security, backed up by its use in the finance industry by clients like Westpac and ANZ.

Qlik is a market leader in BI, with close to 50 000 customers globally. Let’s take a look at Qlik’s recent announcement about dual-use licencing and a short history of their BI tools.

Dual-use licensing means you can get Qlik’s modern platform – Qlik Sense: Simple, intuitive and visually brilliant and the original – QlikView: Versatile, complex and powerful. This is an interesting offer for existing users and anyone looking at implementing a BI platform.

Qlik Qlik Sense QlikView
  • Dual-use licencing allows companies to unlock both QlikView and Qlik Sense with a single license key.

  • The cost is a 30% uplift in annual Qlik maintenance. (*Qlik press release)

  • This is good news for existing Qlik customers offering access to both products at an additional cost.

  • Dual-use licensing offers customers a more complete BI offering for both guided and self-service analytics.

Qlik: Our Experience.

We compared many BI platforms when looking at better insights into our own managed services and consulting business as well as offering the service to our clients. Tableau was seriously analysed and considered, and very compelling with a lower cost to get started and great design. After many comparisons, we found Qlik was a better fit for us, more powerful and its ETL (extract transform load) capability was simply better. Tableau is a great tool with some of the best visualisations available. With Qlik, you can pull data from many different sources without the need for a costly data warehouse. Here at Advance, Qlik is one of the main tools we use when developing BI solutions internally and for our clients, Power BI is another key tool with its strengths and a high adoption in the BI arena.

Qlik really is one of the most powerful tools available and difficult to beat when comparing its ability to handle large data volumes and transforming data (matching records, merging sources, preparing for analysis.) QlikView is a genuine enterprise level BI tool.

Our experience with QlikView:

  • Ease in connecting to virtually any data source.

  • We are technical developers - QlikView is very powerful in its ability to manipulate or transform the data structure by using script statements and expressions in the Qlik load script.

  • Speed in building and delivering powerful insights right away. Even in product demonstrations we were able to connect to the data and build dashboards instantly.

  • Time to value can be as low as a few days.

  • Limited mobile experience with QlikView - We eventually built our own in house application to give us a better mobile experience and additional capability like distributed reporting and Excel integration through KPI Pulse.

A Short History Of QlikView And Qlik Sense. Why Two Products?

QlikView

QlikView

Qlik Sense

Qlik Sense

QlikView has been the flagship product from its founding in the early 1990s through to around 2014, when they introduced Qlik Sense. Since the launch, Qlik has arguably spent more of its development resources on Qlik Sense, a mobile responsive and more visually appealing BI tool. With that said, the 30 000+ QlikView user community has ensured Qlik release new versions of QlikView annually. Some speculate the move towards Qlik Sense might be to better compete with modern and visual data exploration platforms like Tableau.

From our experience, QlikView developers like us find it easier to get results straight away using QlikView when compared to Power BI and Qlik Sense. Important insights with drill down capability right away.  QlikView may not look as visually appealing out of the box as Qlik Sense, but more experienced developers can get complex answers quickly, then make them more presentable for public consumption.

Users coming from a programming or data science background are more likely to find QlikView more flexible and powerful. In contrast, for brilliant looking visualisations and self-service analytics - Qlik Sense shines in this area and the mobile experience is responsive meaning that the platform automatically resizes objects. This is important when working across different platforms like mobile phones and tablets, all with different versions of operating systems. Qlik Sense wins here in delivering a modern mobile experience.

 

Key Differences And Strengths Of Each Product.

Qlik Sense vs QlikView BI

Final Thoughts

Qlik offers a leading BI solution and dual-use licensing is a good thing. It highlights that they want to offer more value in this competitive space and they need to. Power BI offers a comparatively low entry cost and provides a very good BI platform. You can read some of the reasons why we have seen a big spike in demand for Power BI here. Is Qlik the right solution for you? It is a powerful tool but definitely not the lowest cost option.

A thorough analysis of the project needs to be undertaken. Experienced BI experts can provide advice on which tool is a good fit based on outcome required with budgets and total cost in mind. This will help you make an informed decision on the right platform for your business.

Qlik’s new licencing offering is an interesting proposition for anyone looking at a implementing a BI platform. Current users of QlikView can continue developing and supporting existing deployments and try newer features in Qlik Sense for a lower cost than purchasing two seperate tools. This move will also grow interest and additional enquiries for Qlik.

If you are an existing user of Qlik or someone looking to tackle a new BI project, it is a great time to take a serious look at Qlik. There a many great BI platforms out there, Tableau and Power BI are also leading offerings and each has its strengths that really need to be considered and aligned to your business and what you are trying to achieve.

Want To Know More?

You can reach us here or email sales@advance.on.net directly with any queries. BI is our passion and expertise.

We’ve included links to additional content and useful comparison in the Qlik datasheet below.

Additional Insights

Below is a great 5 minute video about Qlik’s April 2019 updates.

Qlik Datasheet

Qlik Sense and QlikView Data Sheet PDF

Many Thanks,

John-Paul Della-Putta

Director

Advance Business Consulting

Phone: +61 8 8238 6500

Email: jp@advance.net.au

LinkedIn: www.linkedin.com/in/johnpaul

Website: www.advance.net.au

Read More
Small Data Reporting, Strategy and Advice John-Paul Dellaputta Small Data Reporting, Strategy and Advice John-Paul Dellaputta

5 Challenges Faced On Small Data Reporting

samuel-zeller-4138.jpg

Five challenges faced on Small Data reporting

Big data is often touted as imperative to businesses, however in recent years perhaps we have been so blinded by Big Data that we are ignoring its poorer cousin, Small Data?

Big Data simply put looks at trends, information and patterns that can be utilised to forecast as well as give an overview of how your business is tracking. Big data takes high volumes of different sets of data and displays this information in a way that management can make decisions quickly and efficiently. Usually Big Data is generally generated outside of the business to assist the business make decisions moving forward.

Small Data on the other hand allows for the business to extract transactional information from data sources that end users can make use of immediately. Its focus is on providing information to the end user, so they can take action right now. It allows users to be able to determine why things happen, analyse this in real time and then take corrective action. Small Data can be generated as a sub set of Big Data or from other non-traditional data sources. The main thing to remember here is that it helps the end user achieve a result.

Big Data and Small Data each have their place in the business aiming to make inroads into improving decision making ability and resolve problems.

Formulating a plan to extract Small Data that suits each need within the company is paramount. If you ignore Small Data over Big Data then you are robbing yourself of some analytical tools that can help your company develop and improve.

Challenges facing managers looking at developing tools that allow Small Data reporting is:

  • what type of data is required?
  • where will it be obtained?
  • who requires it?
  • what format is it required?
  • how will you extract the data?

The best methodology is to look at the problem you have and work backwards from that point.

As an example let’s look at the problem statement “Average Days Debtors take to pay have increased”. If we look at our challenge we can see that want to interrogate each customer and determine what the payments days are for each invoice payment has been made against (What). We check with accounts and find that this data can be retrieved from their SAP Accounts database (Where). It has been determined that Accounts Staff and Sales Account Managers will use the data (Who), accounts to chase up overdue accounts, and sales to check credit terms prior to selling. The decision then needs to be made as to what format they want to see the data in (What). An example may be a program that can run real time analysis of the accounting data and display that to screen. Selecting the right tool to extract and display this information is paramount to ensuring that the tool gets used (How). There are many good Business Intelligence tools that will allow quick extraction, analysis and display of the results the user requires.

As they say “look after the pennies and the pounds will look after themselves”. In other words Small Data can and will affect Big Data if looked after properly.


Read More