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Vizlib Collaboration Suite

Vizlib Collaboration Suite

Vizlib Collaborate Products

 

Vizlib Writeback Table:

It’s a little like spreadsheets in Qlik Sense, but a lot more powerful, as it lets you correct your data, insert new information, adjust numbers and create new data segmentation.

Integrated Approval Workflows

Create your own custom workflows to automate business processes in Qlik Sense.

Vizlib Input form

  • Vizlib Input Form lets you capture user input and enter new data points into your published Qlik Sense apps. And connecting to endpoints using REST, the Vizlib Input Form can send dynamic data to almost any business tool—from another system, like your CRM, to email or Slack or an output file (like .csv or .qvf).
  • Think questionnaires, customer feedback surveys, order forms or anything else that requires outside input.
  • Choose from a wide range of input fields to capture the information you need, including dropdowns, text fields, sliders, ratings, date-pickers, flags and more.
  • Update multiple Qlik Sense variables on the fly to quickly explore various what-if scenarios and fine-tune your prediction models directly in your dashboard.

Vizlib Teamwork

  • Users can easily kick-off discussions right in their dashboards, call attention to interesting data points with contextualised comments and share their view of data with other people on the team. With in-context communication and real-time conversations inside your dashboards, teams can ask and answer questions in minutes, saving time and making better decisions.

Vizlib Server

  • Online & On-Premise enabled
Process Automation & Optimization With Data!

Process Automation & Optimization With Data!

Process Optimization

Process and data are core knowledge treads that run through and keep your organization competitive. They are the tendons of your organizational muscles. When you combine these two pivotal aspects of your competitiveness you reach breakthrough results in terms of strategic and operational execution of your competitive advantages.

Business Intelligence (BI) has become the active intelligence platform that automates your processes and produce actionable insights that drive improvements throughout your business.

This should not be done within a vacuum or silo.

When you improve your business it is essential that you take a cross functional or cross process handover look at what you are doing as you will only be moving the bottlenecks further downstream and when you automate poor processes you make them more-poor (poorer) quicker!

Active intelligence ensures that synthesis is created within your data to address information and insight requirements from your data. Should data thus not become the central point of your process performance programs? When your data is synthesized and an alert is triggered based on data changes and lands in certain ranges that have been identified or calculated though some algorithm to trigger an action, or a risk control or instruction to kick off another process such as moving data to your CRM, creating a lead, and notifying another person of such a lead for instance could certainly improve your competitive advantage.

With the Artificial Intelligence and advanced analytics capabilities today, there are thousands of these use cases within a single organization. Data will drive automation of processes but not in a massive process re-engineering type old school engagement, it will be an agile unpack the process and apply Data–>Insights–>Decision–>Action processes that are automated that will trigger the next best action based on the data and the insights.

Are we there yet?

Yes, we certainly are!

We have done many of these types of engagements but we are seeing the processes element becoming a major value add to such engagements as there are always change involved and when processes are changed and automated people are required to follow suit and change their roles and responsibilities accordingly or they will be left in a vacuum.

Short Case Study:

We did our first process optimization case 6 years ago for one global petroleum company.

We had a two-week period to identity why they “felt” they were spending so much on ad-hoc maintenance when they have a very good preventative maintenance program, and the annual costs were increasing substantially. We took the process approach to the project as it was clear we needed to understand the processes and procedures first, in order to understand the data. We were required to both unpack all the processes, roles & responsibilities, controls, and risks as well as all the processing data from their systems. We also performed some benchmarking processing tests for system processes.

The key findings and recommendations were provided according to the systems, people, and processes criteria. We recommended small process changes for the team at the end of the day which took very little training, but small things lead to large improvements from an optimization, control, risk management and cost savings point of view. The great thing about planning based on data is you can apply various scenario planning and predictive models to understand how a certain change to the business will affect your upstream, mid-stream and downstream processes.

We had a scope change as they wished to see more analysis around their asset management, but the end result was that in three weeks of work we were able to save them R 40 Million annually.

Next Steps

Take the agile process optimization approach today and start incrementally improving your business from the high impact priority areas first. We link all our process performance and optimization work to strategy to ensure your strategic objectives are in line with your execution of your business.

Do you want to see this case study? Download our brochure now!

Would you like to talk it through and see whether you would like to take this approach to your own analytics? Please contact us

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