fbpx
Qlik SaaS & Cloud Solutions

Qlik SaaS & Cloud Solutions

Qlik has over the last couple of years become possibly THE front runner when it comes to enterprise cloud and SaaS offerings. They have planned and delivered this will be a variety of architectural options and solutions which delivers a wealth of value to any organization looking to migrate to cloud in any way and take advantages of the extended add-on and standalone SaaS options for rapid deployments on a fully outsourced infrastructure.

Qlik Cloud:

The Qlik cloud platform architecture is extremely important as it provides buying power to the customer meaning its hybrid to avoid any large cloud vendor lock-ins. Benefit from an open SaaS platform with cloud-agnostic and hybrid deployment options that offers maximum choice and flexibility in how and where you deploy, store and analyze data, across one or multiple clouds. 

Data Services

Organizations collect huge amounts of data. Most of the data that can guide decisions and actions isn’t analytics-ready or accessible. Qlik operationalizes DataOps for analytics, turning raw data into trusted, actionable data that’s easy to find, current, and immediately available to Qlik Sense®, Tableau, PowerBI, and beyond – on any cloud you choose.

Analytics Services

Qlik Sense® sets the benchmark for a new generation of analytics. Empower users at any skill level to freely explore data with powerful AI combined with the industry’s most powerful analytics engine. Bring actionable insights into every decision with the industry’s most complete platform for modern BI – on our cloud or anywhere you choose.

Platform Capabilities:

Multi-cloud data real time movement at scale

Multi-cloud compute – Hybrid cloud analytics

Automation – Respond faster to changing business requirements

Security & Privacy – Complete coverage from on-premises to cloud

Scalability & Governance – Trusted data delivered at scale

Talk to us about your cloud and SaaS requirements today.

Paradigm Shifts

Paradigm Shifts

Value Proposition

As we enter a paradigm shift moving the data objective down the data pipeline from insights and augmented analytics to continuous actions through optimized process execution it takes me back to the good old performance management days and I am very happy to see such methodologies coming back into what we do as a company. Our history as a leading Corporate Performance Management (CPM) and Business Process Management (BPM) company positions us very well for Active Intelligence, the new era in Business Intelligence.

We are fortunate that our history provides us all the methodologies and tools we need to successfully execute Active Intelligence solutions where your data and changes in your data executes your processes with people in/out the loop and utilizing the algorithm economy value to drive self-service, decision support frameworks, competitive frameworks and so forth.

The basis of our methodology is to deploy capability based on maturity of your processes, systems and people. As we No-code automate your data movement at scale, we automate your data warehousing and data lakes, data governance and quality, across your analytical capability and ability to self-service from data. Our implementations are based on the capability maturity levels in your organisation.

Cloud & SaaS

Looking to take advantage of cloud economies? We’ve got you covered with our CloudSOS service. Our planning provides a full economical and TCO model for cloud and micro service migrations. We are working actively with our customers to migrate their data to cloud at scale. Our No-code data replication capability makes it very easy to migrate data from your on-premise to cloud, multi-cloud and hybrid-cloud deployments. Need to move not only your stages but migrate your warehouse and marts to cloud? We’ve got you covered!

Rebrand

With a paradigm shift in our ability to deliver value from data to our customers, we also change our brand to reflect our more modern performance driven Active Intelligence solutions. We love continuous improvement and change as an organization and felt this a good time to modernise, contextualize and articulate our value message more clearly. We had a vote and 100% of our team selected our new logo and slogan.

We trust the clean and clear message updates on our website, brochures are valuable and concise for our prospective customers and partners. “We thank our amazing marketing team for taking care of every step throughout our rebrand and making it a pleasant experience for our team. The new brand is fresh, vibrant and now! Great work team!!” Says JP Kirton, MD, Modernising Management (Pty) Ltc

Short Term Focus Areas

Our focus will be to invest in:

  • Active Intelligence Solution’s: SmartCompanies & SmartCities
  • Extension of partnerships to address more Active Intelligence cases… you’ll see the examples when we launch them.
  • Data Management Maturity Assessment and Implementation: Data Management Strategy, Data Governance, Data Quality, Platforms & Architecture, Data Operations, Supporting Processes
  • Cloud First: CloudSOS Rapid cloud deployments of both data and analytics assets implementing Cloud, Hybrid-Cloud (on-premises & cloud) and Multi-cloud (cross hyperscallers and avoidance of lock-ins) solutions as well as SaaS all with economical and TCO models.
  • Complex data solutions: Single version of the truth, Single view of customer
  • Prebuilt rapid deployment solutions: 360View, CloudSOS, Analytics2Insights
Vizlib Collaborate Automation Example

Vizlib Collaborate Automation Example

Collaboration In Qlik Sense 

Vizlib has released their new Collaboration Suite of products and it’s doozy!

You are now able to chat, input manual data and automate forms with workflows, all within the Qlik Sense interface.

The products included in the suite are explained below but here is an idea or a scenario we could possibly share…

Let’s say you find an issue with some data points in your Qlik Sense Financial Application.

Using your Qlik Sense Self-Service your check the rules and still have a question about the performance level.

You open up the Vizlib Chat interface and have a quick chat with the financial manager and the person responsible for the performance.

You check the notes on the issue but there are none so you create a note for your finding.

The note is now on the system with the selections and context as per your finding so you can copy the link to the notes.

Since you have a clear understanding of the issue now you can create an action plan accordingly.

You open up the Vizlib action plan form and start to fill it out.

You select the people you wish to include and action accordingly with their respective deadlines but when you select regulatory issues as a category you realise that there is now a workflow that will be required for your action to be approved.

You complete the full action template and publish it.

The workflow kicks off and your finance manager gets a notification. She is already aware of the issue as you had a chat about it so she ads her comments and approves the action.

Everybody on the action is now notified of the action. They can open the action, find the context, link to your notes.

Since this is a regulatory category action the system automatically creates a project and writes all the context within your project management system using the REST API capability and notifies your projects team about the newly created project.

You will now see the project on your project management Qlik Sense application where you and your team can now manually update the project directly out of Qlik Sense using the Vizlib Writeback table solution of the collaboration suite.

You may have your Vizlib Gantt chart showing all the deliverables, people, durations, dependencies etc…. the Vizlib Gantt chart is a separate library though but you get the point.

So What have you done from your desk?

  • Identified a challenge
  • Reviewed the context rules
  • Had a chat and understood the context and performance impact
  • Created a note on the finance app for the finance team
  • Created an action plan which kicked off an approval workflow
  • The workflow was approved by the designated person
  • The action plan was published and all parties notified
  • The action plan was created as a project for management by the projects team as it qualified for a project
  • The project is monitored by Qlik Sense
  • Feedback and project updates are directly input to the project view via Vizlib Writeback table manual data entry capability

What examples do you have?
Let’s set up a solutioning session to discuss?

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
Automatically Predicting Cash Flows

Automatically Predicting Cash Flows

Say hello to the predictive cash flow module!

We have implemented the predictive cash flow model on our prebuilt accounting solution.

Cash is more KING than ever!

 

It is imperative to manage your cash flow no matter what type of business you are in. Predicting cash flows is never an easy thing which is why we decided to implement it! The model that represented real world cases the best is our behavior model which learns from the customer’s payment behaviors on different product types on an invoice line.

The cash flow prediction model interprets the behavior of income and expenses payments based on historical data and utilizes supplier payment date and the latest bank feed data to increase or decrease the bank balance, accordingly, providing you with a prediction of your cashflow for a three-month period.

Prediction Model Data Feeds:

  • Trade Receivables (predicted when 15+ invoices have been sent and paid by the customer)
  • Trade Payables (based on payment date)
  • Expenses (based on 3 months historical data)
  • Bank balance (based on latest bank feed refresh date)

You can analyze your prediction via company, customer and predicted month. We also provide a breakdown of the actual predicted receivables, payables and expenses with predicted dates.

Predictive Cash Flow Exceptions

The predictive model aims to change behavior and thus support you to better manage your cash flow based on behavioral patterns and the model will learn and adapt as these behaviors change. The model does not recreate the prediction on predicted events that did not occur as predicted but instead provides you with their exceptions so that you can affect change i.e. collect from a customer with the reason that they would generally have paid at this time.

The exception view provides you with a breakdown of #customer, # customer invoice, receivable amount, #suppliers, #supplier invoices and payable amounts that should have been paid based on historical behaviors.

You can sort any of the lists based on date or invoice amounts to support your analysis.

We hope you find the cashflow prediction model useful in changing your customer and perhaps your own behaviors.

Looking for some more prebuilt solutions?

Solutions Overview