Author: Pratishtha Jaglan

5 New Facts From Qlik Qonnections’19

Posted on by Pratishtha Jaglan

“Big Data is just Data”

Wish to learn new skills? Want to connect with smart people? Get blaze trails? Are you living and breathing the data? Or are you starting out the big data process? Qonnections is the place to be, has insight has the knowledge and the inspiration that you won’t find anywhere else!

Qlik is the leading data analytics platform and the pioneer of user-driven business intelligence. Its portfolio of cloud-based and on-premise solutions meets customers’ growing needs from reporting and self-service visual analysis to guided, embedded and custom analytics, regardless of where data is located.

With this listing out to you the five initiations at Qlik Qonnections 2019!

1. Qlik Associative Big Data Index

The QABDI (in short) is a product for handling Big Data and follows the approach of ‘taking Qlik to the Data rather than bringing Data to Qlik’. Deployable on Qlik Cloud Services/ Private or Public Cloud or On-Prem in Script, ODAG, and Live (in the roadmap) Mode in a Dockerized Environment, it helps create an in-memory index on Big Data for fast analytics on Qlik Sense visualization layer. Available as yet only for Parquet files as source dataset.

Use cases :
Discovery in the data lake.

Issue billions of transaction details, want to allow users to do the basic selection on larger volumes with near real-time support.
Solution: A basic selection based analytical applications to deliver value from a cloud-based data lake.

Enhancement to existing qlik sense environment.

Can’t satisfy all use cases as development time doesn’t match SLA’s and the volume is growing.
Solution: Allows users to drill into details with Hadoop lake.

2. Gain Greater Insights Into Your Production With Machinery Sensor Data.

The session showcased how Qlik has been deployed as a Smart Manufacturing solution to alert the Preventive Maintenance and malfunctioning of machinery in a Paper Printing Factory with data from IoT devices collected every second into a database and refreshed in the Qlik Dashboard every minute.

Another use case was Retail Footfall Analysis to classify customers as ‘Dwellers’ and ‘Passerbys’ by capturing the cameras data and integrating with POS and CRM data.

3. Secrets of Qlik Architect

The Qlik Sense architecture consists of one or more nodes. Each node runs some or all of the software services that perform specific roles in a Qlik Sense site. You can distribute services across nodes for better performance and scalability. The architecture is flexible enough to suit the needs of most organizations and can vary from small, single-server sites to large, multi-server installations.

A multi-node, distributed architecture offers the most flexibility, consisting of multiple nodes that together form a scalable and high-performance site. You define a central node as the main point of control.

4. Getting Started with Qlik Core

Qlik Core caters to the customers’ embedding needs from simple to complex using the platform’s core to allow embedding in devices, thereby pushing analytics at the edge in IoT environments.

Qlik offers QDT Components, OSS Github, Ionic, and PreSales Github to speed up the development. A sample development using Qlik Core, with the integration of OpenWeather data, ingested into Qlik Engine using Enigma.js and visualization using HighCharts.

5. Qlik with Attunity

In a world increasingly reliant on predictive analytics and artificial intelligence, seamlessly moving data in real-time across multiple cloud environments and data lakes has become a business-critical issue. With Attunity, Qlik will provide customers with an expanded enterprise data management solution to transform their raw data into a governed, analytics-aware information resource.
“Attunity strength in real-time data delivery across complex cloud environments will uniquely position Qlik to help customers lead with data and align their enterprise analytics strategy,”
Attunity provides cross-platform data streaming capabilities to support a shift to cloud and real-time analytics. This acquisition further differentiates Qlik by providing an expanded breadth of enterprise data management capabilities and adds an experienced team of data professionals. Consistent with Qlik’s vision for 3rd generation business intelligence, a strong data management strategy creates the foundation for an enterprise analytics strategy that drives insights and transforms organizations.

SAP HANA on Cloud [3 considerations before hosting]

Posted on by Pratishtha Jaglan

High-speed data analytics is changing the way companies compete, enabling them to generate real-time insights to support their most important business processes. The SAP HANA* platform is a clear leader in this arena, providing a uniquely fast and adaptable platform for real-time business on an enterprise scale. Cloud computing offers a complementary technology that also provides game-changing capabilities. Let’s see what are the three considerations that need to be taken into an account:

1) Choose a single cloud or go multi-cloud

Optimizing your application to work with a specific cloud provider is relatively simple. Your development teams have just one set of cloud APIs to learn, and your application can take advantage of everything your chosen cloud provider offers.

Once you’ve updated your application to work with only one provider, moving your application to a different provider could require just as much effort as the original cloud migration. Additionally, having a single cloud provider might negatively impact your ability to negotiate important terms—such as pricing and SLAs—with the cloud provider.

One application in one cloud; another application in a different cloud. Perhaps the simplest multi-cloud approach runs one set of applications in one cloud provider and another set in another. This approach gives you increased business leverage with multiple providers as well as flexibility for where to put applications in the future. It also lets you optimize each application for the provider on which it runs.

2) Establish cloud KPIs

The best KPIs for a cloud migration show how your in-progress migration is going on, floodlighting visible or invisible problems that may be concealed within your application. Most important, perhaps, cloud migration KPIs can help you determine when the migration is complete and successful.

There are several key categories of cloud migration KPIs:

3) Let’s discover the shared data responsibility Model?

When your data is in your own data centres, the IT organization is responsible for protecting the data. But as you move data to the public cloud, the ownership line becomes fuzzy. The responsibility of data protection becomes shared between the cloud provider and you. Broadly speaking, cloud providers are responsible for the security of the cloud itself, while customers are responsible for security and compliance requirements for their data in the cloud. In GDPR-speak, you are generally the “controller” of your data and take on all the compliance and regulatory requirements associated with your end users’ data. Therefore, your greatest cloud security needs are around monitoring and restricting access to your data.

To elaborate further, the physical security of data centres and hardware is fully owned by the cloud provider. The cloud provider also controls and secures the host operating system and the virtualization layer. While some responsibilities are shared between you and the cloud service provider, others are entirely your responsibility.

You will only survive if you do things better, do things differently or do different things,
We, at Team Computers leading the innovation journey for our customers with Cloud. Accelerating the pace of innovation and run live in this new digital economy.
What are you waiting for? Switch now!

Happy Clouding!

Why Cloud Disaster Recovery? [3 benefits]

Posted on by Pratishtha Jaglan

SAP — at the core of your enterprise — faces several potential threats that can paralyze your business. Only a good contingency plan can save the day.

Do your business-critical applications, say ERP or CRM, run on SAP? That’s a good choice right there. And to maintain continuous SAP availability in an increasingly complex interconnected application environment is no joke. We applaud you for keeping that up as efficiently as you have. So, you’d already know that there are potential risks all around — shared technology risks, cyber-attack, natural calamities and so on. Since an ERP is integrated across critical business processes, impacting every area of the enterprise, any disruption could bring your business to a halt. At times, data loss and downtime are so long and severe that it can cause irretrievable loss to the company’s reputation. To safeguard against these risks and more, you need a comprehensive disaster recovery strategy. Do you have one? A full-proof disaster recovery (DR) strategy takes care of many potential threats to the SAP environment and acts as a survival mechanism for businesses at scale.

DR, like insurance, is an investment towards business continuity.

The purpose of disaster recovery is not to directly save cost, but to save opportunity cost in times of disaster — protecting the business from potential losses and irrecoverable damage.

Disaster Recovery is at a site level. It is appropriate for cases when the whole of the primary site is down, either due to natural or man-made calamity and would require days if not weeks to recover. It brings out two key aspects. One, it will be idealistic to assume that all applications and features will be available on the same scale and detail during DR. Two, it will be equally idealistic to zero impact on the business.

 

Let’s check out the benefits

1. Cloud DR requires no onsite hardware building costs, it merely needs data-sync sized instances for normal time, is scalable on par with the growth of your business with practically no physical capacity issues, more flexible with pay-per-use models, easy connectivity from anywhere, anytime, using any device, smooth and quick backup with minimal configurations in a matter of minutes.

2. All in all, lower cost of operations and faster recovery times, assuring your business keeps functioning during and after any type of disaster by virtualizing each location where your data resides.

3. Cloud takes into account your existing business facilities, the level of security required and budget and accommodates future growth. It provides thorough coverage, better control and flexibility, tested and proven to meet and deliver upon accepted RTO and RPO for SAP.

Today, managed disaster recovery has become an increasingly cost-effective solution for businesses, given favorable cost, risk and service attributes of the cloud.
So what are you waiting for?

Switch to the cloud now!

Qlik Crunchbot – Checkout What’s New!

Posted on by Pratishtha Jaglan

Usage drives RoI – We’ve known this along, but this has been an age long challenge to address. Well, not anymore!

Qlik has found a probable answer – a chatbot so that your users do not have to log in, look at dashboards or have the ability to infer them. They can now do what they do best, simply ask questions in natural language and get responses!

Questions such as

  • What are my sales this quarter?
  • Which of my branches have a negative net?
  • Who is my highest performing salesperson?

Qlik has lately introduced the Qlik Insight Bot, delivering AI power conversational analytics to any and every user of the organisation.

The Qlik insight bot can be accessed directly from the qlik sense environment or through popular collaboration such as Skype or slack, making it easy for people to access analytics wherever they work!

Users can now ask questions and get a variety of answers making it easier for more people to make a data-driven decision – to put it simply- “If you can chat you can engage with your data”.The Insight Bot is readily available at the lower right corner- a simple click brings up information of the interface ready to accept commands and questions and alongside interacting with the qlik sense business apps.I’d like to quickly make you understand what Qlik Insight Bot has to offer- Kickstarting the story with an example: So simply type “show apps” notice that as I start to type, it suggests me various comments that are available, that it has already learnt from my previous needs, therefore making those suggestions. The comment “show apps” displays those qlik sense apps configured from the bot.

For example: clicking one of these such as retail convenience, sets the context of the app and provides a generalized overview and summary of the KPI’s. This keeps me engaged with the data. At this point, I wish to see what measures are available so I type, “show measures and now I see list of all the apps, now I am interested in the cost of goods sold, clicking that not only displays the value but also presents the chart showing all my measures overtime along with links to actual Qlik sense web page for deeper analysis, Bot continues the conversation by further suggesting other reviews encouraging me to ask that next question. Now I want to see some visualizations and a list of governed KPI’s visuals that are available in the app displays. At this point, I hope you are seeing the power of simple conversational analytics To stay competitive, organizations must enable their entire workforce to make better decisions using data. Qlik Insight Bot offers a powerful new way to make data and analytics more accessible to everyone by letting people use their innate communication skills to get the information they need. That helps organizations:

  • Reach more users with the right data, wherever and however they work.
  • Enhance data literacy and data-driven decision-making at all levels.
  • Get more value from data and analytics investments.

Insight Bot is a perfect compliment to your existing qlik sense enterprise solution.

For conversational analytics, make analytics available to everyone, let’s get started with Qlik today!