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This space offers a variety of blogs, all written by Qlik employees. Product and non product related.
Product Innovation
By reading the Product Innovation blog, you will learn about what's new across all of the products in our growing Qlik product portfolio.
Support Updates
The Support Updates blog delivers important and useful Qlik Support information about end-of-product support, new service releases, and general support topics.
Qlik Academic Program
This blog was created for professors and students using Qlik within academia.
Community News
Hear it from your Community Managers! The Community News blog provides updates about the Qlik Community Platform and other news and important announcements.
Qlik Digest
The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
Qlik Education
The Qlik Education blog provides information about the latest updates of our courses and programs with the Qlik Education team.
Recent Blog Posts
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Data Science - The Hot Market!
Per Statista, the big data market is growing rapidly, with $42 B USD revenues in 2018 and a massive increase to an expected $1.89 B in 2019. Corporations are adopting new technologies to help manage integration and draw insights from big data. In the telecommunications industry alone, around 94.5 percent of respondents representing the telecommunications industry stated that their organization currently used big data technology as of 2018. The ... Show MorePer Statista, the big data market is growing rapidly, with $42 B USD revenues in 2018 and a massive increase to an expected $1.89 B in 2019. Corporations are adopting new technologies to help manage integration and draw insights from big data. In the telecommunications industry alone, around 94.5 percent of respondents representing the telecommunications industry stated that their organization currently used big data technology as of 2018.
The increase in big data has created the need for employees with specific skill sets, people who the industry call Data Scientists! According to LinkedIn, there has been a 56% increase in data scientist job openings in the US since 2018, and a recent report by Indeed revealed a 29% year-over-year increase (and 344% increase since 2013). Aside from the many business insights that can support sales, marketing and product development, mining user data and making it available to fuel artificial intelligence and machine learning is considered the new gold rush by many venture capitalists. For the full story on the hot market for data scientists visit CIO - Data Science
Now is the time for university students to get a head of the game and learn the vital skills needed to land these coveted jobs. The Qlik Academic Program has the tools and resources needed so that students can learn Qlik Sense, a leading BI tool and receive a certificate to put on their resume!
Professors and students should visit us to learn more and apply today!
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Creating a navigation minimap with Enigma.js, Picasso.js and qdt-components
We have created many charts with the Engine API and Picasso.js in the past. What was missing, was the navigation bar with a minimap of the entire chart. -
Market research experts needed more than ever in big data era
We all know that data scientists are in high demand. In fact, Amazon says that job opportunities for these experts have grown by 505% over the last 5 years. With the Internet of things producing more data than ever before, it’s easy to see why all organisations want people who can make sense of big data to drive them to success. But what does this mean for market researchers? Can data science really replace them all together? Last week raconteur.... Show MoreWe all know that data scientists are in high demand. In fact, Amazon says that job opportunities for these experts have grown by 505% over the last 5 years. With the Internet of things producing more data than ever before, it’s easy to see why all organisations want people who can make sense of big data to drive them to success. But what does this mean for market researchers? Can data science really replace them all together?
Last week raconteur.net discussed this very question, with input from various experts in the field. Aidan Slingsby, director of City, University of London’s MSc in data science, discusses how data science can be “an exceptionally useful tool for market research professionals”.
However, he also adds that market researchers are still essential in understanding the context of the information provided by data scientists, and to interpret the ‘what’ from the ‘why’. Ben Page, chief executive of Ipsos MORI goes on to explain how observational research is still essential, using a real-life study conducted for a global pet food manufacturer as a case in point.
The conclusions drawn here is that data science and market research should work hand in hand to deliver clearer and more granular insights that ever before. You can read the full article here:
https://www.raconteur.net/business-innovation/research-experts-big-data
If you are teaching or studying market research at the University level and want to delve into the world of data science, you can sign up for the free Qlik Academic Program. This will give you access to Qlik Sense analytics software as well as a library of e-learning materials and free qualifications. This includes a product agnostic data analytics curriculum to get you started in topics such as statistical concepts and theories in analysis.
Sign up here today: qlik.com/academicprogram
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Article in Wharton-Why future jobs will require data analytics skills
In an interesting article on Wharton School's portal, the evolution of a data analyst role from someone working with transactional data to that of analytics "your grandmother would understand" is spoken about. There is a great deal of emphasis on skills as an analyst which one must acquire including creative communication, story telling , actionable insights etc. The ex Chief Data Officer Wells Fargo defines a Unicorn as a person who understands... Show MoreIn an interesting article on Wharton School's portal, the evolution of a data analyst role from someone working with transactional data to that of analytics "your grandmother would understand" is spoken about. There is a great deal of emphasis on skills as an analyst which one must acquire including creative communication, story telling , actionable insights etc. The ex Chief Data Officer Wells Fargo defines a Unicorn as a person who understands data and can explain it to business and that is the person one must hire for an analyst's role.
Its an interesting read which you must not miss: https://knowledge.wharton.upenn.edu/article/evolution-of-chief-data-officer/
In fact, the Qlik Academic Program offers training in precisely the same set of skills that has been emphasized in this article for a top notch data analyst, to know more about this program, visit: Qlik.com/academicprogram
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QlikView November 2018 Service Release 3 now available
Hi All QlikView users, We are pleased to announce that QlikView November 2018 Service Release 3 is now available on our download site. Version 12.30.20300 is the latest service release that contains almost a dozen product defect fixes and you can find the details of those fixes in the attached release notes. If you have any questions, please don't hesitate to contact Qlik Support. As always, thank you for choosing Qlik software! Kind ... Show MoreHi All QlikView users,We are pleased to announce that QlikView November 2018 Service Release 3 is now available on our download site. Version 12.30.20300 is the latest service release that contains almost a dozen product defect fixes and you can find the details of those fixes in the attached release notes.If you have any questions, please don't hesitate to contact Qlik Support. As always, thank you for choosing Qlik software!Kind RegardsGlobal Support Team
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Qlik Sense - QMC Utilities
Today - Jeff Goldberg is back as our latest guest blogger and will introduce us to Qlik Sense QMC Utilities. Jeff is a Senior Enterprise Architect on the North America Enterprise Architecture team who has worked in various technology positions for over 16 years. Jeff focuses on integration, deployment, automation, security, and api topics across a wide range of software. Thanks for this valuable contribution Jeff!Good day Qlik Community! Recentl... Show More
Today - Jeff Goldberg is back as our latest guest blogger and will introduce us to Qlik Sense QMC Utilities. Jeff is a Senior Enterprise Architect on the North America Enterprise Architecture team who has worked in various technology positions for over 16 years. Jeff focuses on integration, deployment, automation, security, and api topics across a wide range of software. Thanks for this valuable contribution Jeff!
Good day Qlik Community! Recently you may have seen this logo popping up on Qlik Community, Qlik Branch, or on the Visualize Your World tour. It represents our add-on capabilities that support our initiatives to provide Governed Self-Service and Power tools for Qlik Sense, created by the North America Enterprise Architecture team. Today, the EA PowerTools team would like to introduce you to their latest release known as QMC Utilities.QMC Utilities
QMC Utilities is a collection of tools using the Qlik Sense APIs to automate and streamline a variety of processes within the management and administrative areas of Qlik Sense. In the initial release, the team released three helpful tools to make configuring and administering a Qlik Sense deployment easier.
- Sheet Approver: Currently, the process to take a published sheet in an app and make it a base sheet requires a few steps which include duplication and app ownership changes. The Sheet Approver enables application owners to search through the community sheets in a Qlik Sense application and promote them to base sheets in as little as two clicks. The Sheet Approver is a great solution for scenarios where multiple app designers need to make new sheets for existing applications. Now, app designers can create sheets in their “my work” area at the same time, publish them to the community, and the application owner can approve the sheet for inclusion in the core app.
Custom Property Bulk Loader: One of the unsung capabilities in Qlik Sense is the ability to add custom attributes to resources within Qlik Sense. These custom properties help in numerous ways to manage a Qlik Sense environment, from providing local group type attributes, to users, to creating dynamic security rules that have broad applicability and reduce the risk of “rule creep”. Unfortunately, adding custom property values can take some time as it requires key entry. The Custom Property Bulk Loader solves this problem by enabling administrators to load a list of values into an existing or new custom property for Qlik Sense.
Rule Manager: The Rule Manager makes it easy to export and import rules from one Qlik Sense site to another. Rules are selected from the list, exported to json with all the necessary information to import the same rule into another environment.
Want to download this great set of tools and learn more? Head over to the EA Powertools community page to download this solution and have a look at the other great things this team is building to enhance Qlik Sense!
Regards,
Jeff Goldberg
Follow me: Jeff Goldberg (@goldbergjeffrey) | Twitter
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Line Chart tricks: Displaying what's important
Continuing the line charts topic I've started a few weeks ago, let see how to adjust a line chart to help us to see what we want to.Displaying what is importantIn the example below I want to display Sales evolution by store over time, but it happens that this company has too many stores (lines) to easily identify them individually in the chart.I still can get some value out of this chart; global trend is still visible. Seems like sales are decrea... Show MoreContinuing the line charts topic I've started a few weeks ago, let see how to adjust a line chart to help us to see what we want to.
Displaying what is important
In the example below I want to display Sales evolution by store over time, but it happens that this company has too many stores (lines) to easily identify them individually in the chart.
I still can get some value out of this chart; global trend is still visible. Seems like sales are decreasing over time, but details are lost in the color mess.
As color is not helping me to better decode this chart, I will unify line colors.
Now I can see much better my company’s trend, sales amount is decreasing, based on the overlap of individual store behaviors but details are still hidden in green.
Selecting a store I could isolate it and get its details. This is great and fast, but it avoids me from seeing the selected store in context. What I would like to see is the sales evolution of particular store vs all others.
The next step will be to avoid the chart to be filtered out when a store name is selected, to do so I will include set analysis in my expression.
Original expression: sum(Sales)
New expression: sum({<Store=, [Store Name]=>} Sales)
By doing that my chart won’t be filtered by Store or Store Name selections
Now, what I need is to highlight the store within the chart. Again I will use the Background Color properties for the expression to achieve that.
if(isnull(only([Store Name])) ,ARGB(20,200,200,200),ARGB(190,43, 123, 70))
This expression will gray out all non-selected stores and highlight our selection(s).
With this new chart, my selections will help me to see store details and to keep selected store(s) in context. I can see the global trend and compare it with any store just by searching and selecting.
Extra tip: If you look carefully at the two charts above, you may notice a slightly color difference in the second image dark green line, this is because the green line is under several semi-transparent gray lines making it look little bit different.
Sorting the dimension will help you to prevent this. In this case I’m sorting Store Name by sales amount using the following expression.aggr(sum(Sales),[Store Name])
You can see this chart working as part of Retailer EPOS Data Analysis demo.
Line charts beyond your imagination
These are some creative and really cool non-standard uses of line charts I have seen lately:
Parallel Co-Ordinates Chart
This chart variation was firstly introduced by Alistair Eaves some time ago. The chart is great for showing data paths between various dimensions; letting people to understand something so hard to see as flows dynamics in the data. Check out the demoDynamic Network Flow Charts
If you are a frequent flyer you will probably have read all magazines in your front pocket. One of my favorites readings on board are these maps with all the routes airlines operate through the world. Matthew Crowther stretched out QlikView line chart object to display information in the same way but keeping the QV soul (association) in it. If you want to know how to do it, you should read: New Qlikview Chart Type: Dynamic Network Flow Charts | QVDesign
The Associated Curve Chart
Based on the same principles but pushing things a little bit more Matthew presented this new chart, he called Associated Curve Chart. You can check it out at Matthew's blog
Enjoy Qliking!
AMZ
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What You See Is Rarely All There Is
Gaining wisdom and insights from data requires you to look beyond the obvious to really understand what is happening
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Mid-Year Momentum is Strong with Qlik's June 2019 Product Release
We have hit the halfway mark of 2019 with the third release of the year, and momentum at Qlik remains strong as we continue to deliver significant product innovations across the Qlik Product Portfolio. The June 2019 Product Release offers a wide range of new capabilities. Qlik Sense includes new visualizations and advanced authoring features, improvements to our multi-cloud deployment framework, and Qlik Sense Mobile enhancements. We also have n... Show MoreWe have hit the halfway mark of 2019 with the third release of the year, and momentum at Qlik remains strong as we continue to deliver significant product innovations across the Qlik Product Portfolio.
The June 2019 Product Release offers a wide range of new capabilities. Qlik Sense includes new visualizations and advanced authoring features, improvements to our multi-cloud deployment framework, and Qlik Sense Mobile enhancements. We also have new Qlik NPrinting and Qlik Associative Big Data Index features, along with the much anticipated QVD Catalog in Qlik Data Catalyst.
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Challenge the Status Quo
See why Qlik (Attunity) is recognized in the 2019 Gartner Magic Quadrant for Data Integration Tools. GET REPORT
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Qlik July Releases - Sense and Insight Bot
Hello All Qlik Users, While summer is in full swing, we are please to announce a couple of new releases. Within the month of July, the following versions were made available on our download site. Qlik Sense February 2019 Patch 4 Qlik Sense February 2019 Patch 4 only contains a few product defect fixes, of which further details can be found in the release notes (Qlik Sense February 2019 Patch 4). Qlik Sense April 2019 Patch 2 Qlik... Show MoreHello All Qlik Users,While summer is in full swing, we are please to announce a couple of new releases. Within the month of July, the following versions were made available on our download site.Qlik Sense February 2019 Patch 4Qlik Sense February 2019 Patch 4 only contains a few product defect fixes, of which further details can be found in the release notes (Qlik Sense February 2019 Patch 4).Qlik Sense April 2019 Patch 2
Qlik Sense April 2019 Patch 2 only contains a few product defect fixes, of which further details can be found in the release notes (Qlik Sense April 2019 Patch 2).
Qlik Insight Bot June 2019 Patch 1
Recently, we encountered a couple inabilities of Qlik Insight Bot Web Chat Service to validate users coming from different nodes through different URLs through Application Load Balancer with GSLB sitting on top. We are happy to announce that with this release, these issues have been addressed along with log improvements. For further information, please refer to the release notes, (Qlik Insight Bot June 2019 Patch 1 Release Notes).Please note that for existing installation of version 1.0.0.6 GA, only webchat service needs to be installed (which will be direct upgrade, no uninstall is needed). For new installations, please refer to 1.0.0.7 version of QIB Web Chat service, rest of the components will still be 1.0.0.6.As always when upgrading any software, make sure that you backup your system and applications before doing any installation and follow upgrading best practices. Thank you for choosing Qlik software.
Kind regards
The Global Support Team
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The Search String
One of the strengths of QlikView is its search engine. With it, you can find pieces of information in a fraction of a second and select the found field values. But how is the search defined? And where can the search be used?
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Deep Dive into the June 2019 Release by attending the Qlik Insider Webinar on Au...
Keep your finger on the pulse of data and analytics innovation with the Qlik Insider Webinar Series, a quarterly webinar series where you can get an inside look at the latest capabilities in Qlik’s platform. -
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Using the Ceil Function to Create a Quarter Field
When building an app, there are certain functions that I use over and over again. This is the case when I need to add a Quarter field to my data model. I often have dates in my apps and sometimes I like to provide the user with a Quarter field so I thought I would share the script that I often use. Below is the script I always use to create a Quarter field in my data model.When creating the Quarter field, I use the Ceil function. The Ceil fun... Show MoreWhen building an app, there are certain functions that I use over and over again. This is the case when I need to add a Quarter field to my data model. I often have dates in my apps and sometimes I like to provide the user with a Quarter field so I thought I would share the script that I often use. Below is the script I always use to create a Quarter field in my data model.
When creating the Quarter field, I use the Ceil function. The Ceil function can be used in the script or a chart and it rounds a number up to the nearest multiple of the specified step interval. You cannot talk about the Ceil function without mentioning the Floor function. The Floor function does the opposite of the Ceil function by rounding numbers down. Both functions have a third parameter, the offset, which allows you to increase or decrease the result of the Ceil or Floor function by a specified value. Let’s take a look at some examples.
The syntax for the Ceil function is:
Ceil(x[, step[, offset]])
- Ceil(2, 4) – returns 4. The step is 4 so you can think of these values 0, 4, 8 and so on. The number 2 is between 0 and 4 and when rounded up will return 4.
- Ceil(4,2) – returns 4. The step is 2 so you can think of these values 0, 2, 4, 6 and so on. The number 4 is the same as one of the step values so it returns 4.
- Ceil(5.5, 3) – returns 6. The step is 3 so you can think of these values 0, 3, 6, 9 and so on. The number 5.5 is between 3 and 6 and when rounded up will return 6.
- Ceil(5.5, 3, 0.5) – returns 6.5. The step is 3 so you can think of these values 0, 3, 6, 9 and so on. The number 5.5 is between 3 and 6 and when rounded up will return 6. Since there is an offset value, we need to increase 6 by 0.5, giving us a final result of 6.5.
- Ceil(4.111) – returns 5. There is no second parameter in this example, so 1 is assumed. You can think of the values 0, 1, 2, 3, 4, 5 and so on. The number 4.111 is between 4 and 5 and when rounded up will return 5.
The Floor function does the same as the Ceil function except instead of rounding up, it rounds down. Let’s take a look at the same examples and see how the results vary.
The syntax for the Floor function is:
Floor(x[, step[, offset]])
- Floor(2, 4) – returns 0. The step is 4 so you can think of these values 0, 4, 8 and so on. The number 2 is between 0 and 4 and when rounded down will return 0.
- Floor(4,2) – returns 4. The step is 2 so you can think of these values 0, 2, 4, 6 and so on. The number 4 is the same as one of the step values so it returns 4.
- Floor(5.5, 3) – returns 3. The step is 3 so you can think of these values 0, 3, 6, 9 and so on. The number 5.5 is between 3 and 6 and when rounded down will return 3.
- Floor(1.1, 1, 0.5) – returns 0.5. The step is 1 so you can think of these values 0, 1, 2, 3 and so on. The number 1.1 is between 1 and 2 and when rounded down will return 1. Since there is an offset value, we need to decrease 1 by 0.5, giving us a final result of 0.5.
- Floor(4.111) – returns 4. There is no second parameter in this example, so 1 is assumed. You can think of the values 0, 1, 2, 3, 4, 5 and so on. The number 4.111 is between 4 and 5 and when rounded down will return 4.
So now let’s apply the Ceil function to determine the quarter from a date. The script I like to use is:
If we break this down, we first use the Month function to return the month number and then we divide that by 3 since there are 3 months in a quarter. So assuming the OrderDate is December 11, 2015, Month(OrderDate)/3 will return 4 (12/3=4). Then the Ceil function is used to round that number up. The script above also uses the Dual function so that we can display the Quarter as a string, Q4, with a numeric value of 4. This makes it easier to sort charts that use the Quarter field.
The Ceil and Floor functions provide rounding capabilities with the ability to set the step as well as an offset. If I had a cheat list of scripts I like to use, this Quarter script would be on the list. What would be on your list?
Thanks,
Jennell
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Handling Multiple Languages
Today’s corporate environment is global. QlikView application developers are required to support many regions and many languages. So how does a QlikView application developer handle multiple languages? Well, that depends on how the data is captured and the overall goal of the application developer. Let’s look at two scenarios.Scenario 1: The developer only needs to translate the labels and textboxes within the application and not the actual dat... Show MoreToday’s corporate environment is global. QlikView application developers are required to support many regions and many languages. So how does a QlikView application developer handle multiple languages? Well, that depends on how the data is captured and the overall goal of the application developer. Let’s look at two scenarios.
Scenario 1: The developer only needs to translate the labels and textboxes within the application and not the actual data.
- Create a translation spreadsheet that contains an index column to be used for reference and columns for every language that each label and text entry that needs to be translated.
- Fill in the English language column with the text to be translated and have translators fill out their language.
- In the script load the translation spreadsheet and create an inline table that contains all of the language translations. Then create a variable, say vDataLanguage, that reads the Language field.
- Using set analysis, create an expression that references the index number and the language to display
=Only({<Index={12}>} [$(=vDataLanguage)])
for all textbox and object captions that need to be translated.
Scenario 2: The data from which the QlikView application developer is developing is recorded in English but he/she needs to have some of the actual data translated into other languages.
- The first thing that he/she needs to do is determine the fields that need to be translated and create a translation spreadsheet that contains a worksheet for each of the fields to be translated. For example, we need to translate the Industry data. Now we need to load the data translation file into QlikView as a Mapping Load for each language. For this example we need to translate into German and French so we’ll create a mapping file for French_Industry and a mapping file for German_Industry.
- Create an inline table that contains all of the language translations.
- Create a variable that reads the Language field (vDataLanguage).
- In the script, find the Industry Field that we need to translate. Using the Applymap function we can translate the English data into the different languages and be sure to name the translated field as Fieldname_Language (e.g. Industry_French) .
- We now need to create a variable for each translated field. So for industry we’ll create vIndustry. The expression in vIndustry is
=chr(91)&'Industry' &chr(95) & '$(vDataLanguage)' & chr(93) . - Now to get the correct language to display in a list box you need a calculated dimension using this expression, which is
=$(vIndustry).
That’s it! Easy, right? Well, it is a bit time consuming if you are trying to translate data in fields but translating text and labels is really not that difficult. I created a technical overview that walks you through the two scenarios mentioned in this blog as well as a third scenario which can be found here. This resource includes a How-To, sample data files and 2 QVWs.
Good luck with the translations! Lycka till med översättningarna! 翻訳で頑張ってください！
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Embedding a single chart. June 19
The latest Qlik Sense June 19 version ships with a nice new feature that should let anyone to embed or share a chart in style. How to It’s simple, find the chart you want to embed and right-click on it, you should access to the context menu where you could for example see the data table for the chart you are looking at. In this case what we want to click on in that menu is the option called “Embed Chart”. Note if your screen mode is set to touch,... Show MoreThe latest Qlik Sense June 19 version ships with a nice new feature that should let anyone to embed or share a chart in style.
How to
It’s simple, find the chart you want to embed and right-click on it, you should access to the context menu where you could for example see the data table for the chart you are looking at. In this case what we want to click on in that menu is the option called “Embed Chart”. Note if your screen mode is set to touch, you will find this option by touching in the vertical ellipsis (aka Kebab Menu) icon.
That will pop a window up with a nice preview of the chart and some options that are very handy.
Setting appearance and interaction
You can customize how you can interact with the embedded object.
- Allow interaction
You can select if you want the user to be able to interact with the embedded object.
- Enable context menu
You can select if you want the context menu to be available when the embedded object is right-clicked.
- Language
You can select which language to use in menus for the embedded object.
- Theme
You can select which theme to use for the embedded object.
Selections in the embedded object
You can choose if the user can make selections in the embedded object, and which selection state to show in the embedded object.
- Use current selections
You can select to use the current selections in the app.
- Show selections bar
You can select to show the selections bar above the sheet.
- Allow selections
You can select if you want the user to be able to make selections in the embedded object. You also need to enable Allow interaction.
- Clear selections on reload
You can select to clear all selections made in the app when the object is rendered.
- Apply bookmark
You can select to apply a bookmark and use the selections defined in the bookmark. Bookmarking selections
When the page containing the embedded object is rendered, the initial selection state is defined by the order of execution and your settings.
- Clear selections on reload
- Apply bookmark
- Use current selections
When you make selections in the embedded object, they will be replicated in the app. If you select Clear selections on reload, for example, and use the embedded object, selections are cleared in the app.
Enjoy it,
Arturo (@arturoqv)
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How we can all drive positive change using data
Data is used across all different types of organisations in every sector from banking to retail and healthcare to manufacturing. And as we all know, data is very valuable. When insights are understood and interpreted correctly, they can have a huge impact in cutting costs and creating efficiencies. But it’s not all about profit margins and revenue. Data can also be used to help solve some of the world’s most pressing issues.Qlik.org is the Corpor... Show MoreData is used across all different types of organisations in every sector from banking to retail and healthcare to manufacturing. And as we all know, data is very valuable. When insights are understood and interpreted correctly, they can have a huge impact in cutting costs and creating efficiencies. But it’s not all about profit margins and revenue. Data can also be used to help solve some of the world’s most pressing issues.
Qlik.org is the Corporate Responsibility arm of Qlik and provides plenty of examples of how we can lead with data to create a more sustainable world. You will find examples of sustainability initiatives from water security to global health strengthening, and the role that data plays to tackle these challenges.
Recently, Qlik.org ran a hackathon with the challenge of building an application to help the UN plan their air travel more responsibly and to reduce emissions. The “No planet B Challenge” blog post gives the full story. The winning application is due to be launched at the Global Climate Action Summit in September and will also be made available to the public.
If you are a student or academic and want to analyse your own data to see how you can drive positive change at the individual or community level, the Qlik Academic Program can help you to do this. You will receive free access to Qlik software and training resources which could be used to determine how you can reduce your CO2 footprint, or electricity usage or meat consumption...Even at the micro level, data can help us to all do our bit to contribute to a more sustainable world. To sign up for the program today visit: qlik.com/academicprogram.
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Have you seen the new onboarding page?
Are you a new Qlik user? If so, the new onboarding page helps make it easier than ever to get started. https://help.qlik.com/en-US/onboarding pulls together our most used articles, help site links, and more. Visit the onboarding page today! If you need help select the green box on the right hand side that says ‘Need Help?’ Thanks for reading and I hope this helps! -
What Would Florence Nightingale Make of Big Data?
Florence Nightingale may not be the first person who springs to mind when you think of big data, but in fact it's not such a strange pairing as you may initially think. Did you know that before Florence became a nurse she trained as a statistician? And prior to the Crimean War she became a successful hospital manager. During that war she combined her nursing and statistics to reduce death rates in military hospitals from 42% to just 2%, and used... Show MoreFlorence Nightingale may not be the first person who springs to mind when you think of big data, but in fact it's not such a strange pairing as you may initially think.
Did you know that before Florence became a nurse she trained as a statistician? And prior to the Crimean War she became a successful hospital manager. During that war she combined her nursing and statistics to reduce death rates in military hospitals from 42% to just 2%, and used infographics to ensure that politicians couldn't ignore the figures.
This short BBC ideas video directed by James Quinn encourages us to think about what Florence might think of the vast volumes of data available to us today, and the opportunities that we have to use that data to make the world a better place.
Our Qlik Academic Program aims to give University students the ability to read, work with, analyse and argue with data to bring about positive change, regardless of their discipline or area of interest. And the program is also open to University academics who want to bring this teaching into their classrooms. To find out more or to sign up visit: qlik.com/academicprogram, and maybe you could be the next Florence Nightingale!
