The Future Is Now – The 3rd Generation of BI and Analytics Is Right On Time

It was about this time last year that we started to define the vision for the 3rd generation of business intelligence and analytics. Our idea was simple, that data-driven transformation required a new democratized approach to the way in which we drive value from our data. Subsequently, in September we published our whitepaper which explained how the democratization of data, augmented intelligence and analytics embedded everywhere are the prerequisites for moving beyond the centralized and later decentralized approaches that went before.

Nearly a year later those ideas are now more fact than future vision and they represent the reality of the data-driven world we occupy. There are three reasons why I believe this to be true. First is Qlik’s stand out delivery of the enabling technology. Second is the consumption of this technology by our customers. Third is what is happening in the market around us.

I’ll address the first two by looking back at our global customer event in May. In the product keynote, our team outlined how Qlik has delivered not just against each of the prerequisite 3rd generation pillars, but how we have underpinned that with an architectural approach enabling a true multi-cloud platform. Our integration of Attunity, now a division of Qlik, alongside our existing data assets enables a data integration platform which makes the democratization of data not just possible, but easily attainable for our customers. Our unique approach to augmented intelligence is also now represented in very real generally available capabilities in Qlik Sense, proven by some of the most engaging demo’s I’ve seen at an analytics conference, ever. Finally, our innovation with our platform enables our ability to lead in the cloud and allows customers to build and run analytics for any use case, wherever they want or are required to do so. In each case, we showed how these key innovations are driving transformation for our customers right now.

However, it’s what is now happening in the market around us that makes this even more germane. The evolution of analytics has been driven by many things. Perhaps the most pivotal until today was the 2007 series of acquisitions by IBMSAP, and Oracle that effectively killed-off the 1st generation business intelligence. While there was, and perhaps always will be some buyer appeal for a single vendor approach, those acquisitions first served as an admission that what had gone before had failed. Subsequently, prospective buyers voted with their feet and the 2nd generation – much more analysis as opposed to report-centric business intelligence – fueled the growth of Qlik and other modern platforms.

All good things come to an end, including now as we predicted the 2nd generation of BI. This time it’s the large cloud platforms who are striking the killer blow, as they use analytics as a way to consolidate ownership of customer’s data. Just like the single stack approach that went before, this approach will also likely fail to deliver the value customers expect. Data-hoarding and cloud lock-in will ultimately become unacceptable for cost and compliance reasons. The integration and exploitation of synergies will stifle the community and innovation. At Qlik we can only be responsible for our own destiny. Democratized 3rd generation analytics represents how we – with a self-contained cloud and data-independent architecture – will continue to deliver the value and business outcomes our customers expect. What we are now witnessing in this 2019 round of consolidation only accelerates the importance of this strategy. Our vision for the 3rd generation of analytics now seems even more fitting, more timely and from a personal point of view, more satisfying. Just remember, you heard it here first.

How Companies Can Take Advantage of the $3.7 Billion Robotics Opportunity

IDC recently predicted the worldwide robotic process automation (RPA) software market will total $3.7 billion by 2022.

That’s because people in departments such as finance and human resources (HR) are realizing that RPA is not the next big thing. It is the new normal, as bots continue to boost efficiencies, customer service, and cost-savings. Indeed, these are the top reasons why companies are adopting artificial intelligence (AI), according to Gartner research analysts.

I jumped at the chance to see RPA in action last month at SAP TechEd Las Vegas. In a video demonstration, Meijie He, IT IRPA expert at SAP, showed how developers can create effective SAP Intelligent Robotic Process Automation bots running on SAP Cloud Platform.

The Hottest Industries for RPA

Banking, insurance, and healthcare are among RPA’s biggest early adopters, and it is easy to see why. Well-trained bots can quickly sift through millions of financial transactions and share suspected fraud alerts — far faster than humans. People take over to do what humans do best: using judgment to resolve potential problems. The same goes for the insurance industry. RPA can help manage claims faster by focusing on the most repetitive tasks, leaving the judgment calls and relationship-building to humans. Healthcare is a poster child for RPA’s promised outcome. Doctors could spend more time talking with patients and addressing their healthcare concerns than filling out redundant forms.

The Truth About Building Bots

While fears about bots replacing humans persist, putting RPA to work for businesses takes a hefty dose of thoughtfulness. He explained that companies first need to figure outwhere RPA could make a real difference. In IT parlance, these are called use cases. Broadly speaking, there are two types: fully automated scenarios that do not require additional human input, or partially automated processes that involve humans in some steps. Regardless, bot IQ and efficacy depend on the ability to bring in data from all kinds of places. Content could be anywhere and usually is, including documents in software applications in various systems inside and outside of the organization.

“In typical use cases, you have to enter the same data into several instances of systems,” said He. “For example, with shared service centers, which are common in industries like healthcare, insurance, and banking, you have to enter purchase requisition information into several systems. Another use case is finance, where you have to collect invoice numbers from different systems. These scenarios can be automated to improve accuracy, save time, and increase overall productivity.”

Bots Can Solve Problems in Every Industry

Finance, HR, and customer service departments cut across all industries – each bursting with time-consuming processes ripe for RPA intervention.

“Bots can automatically send customer support tickets to the right place for faster resolution,” said He. “For any department, bots can more quickly pull data from different systems to create one consolidated report with accurate, updated information.”

SAP recently used SAP Intelligent Robotic Process Automation to improve the company’s employee hiring experience. As a result, the bot was the ideal tool to collect employee and company information from various systems containing the data that was included in offer packages.

“We were able to easily configure the bot and embed it into the HR processes,” said He. “Now when we have a new hire or employee transfer, the bot collects and extracts the relevant data using a template, generates the offer letter, converts it to the required format, and after HR review, it’s sent the applicant. It’s particularly valuable in making sure the letter meets country-specific legal requirements.”

With a $3 billion opportunity, rethinking business processes with intelligent RPA is well worth the business investment.

Intelligent Automation: Breaking RPA and AI Silos

Artificial intelligence (AI) and Robotic Process Automation (RPA) have a lot in common. They’re both increasingly popular technologies, with enterprise installations accelerating year after year. They both promise to revolutionize companies striving for digital transformation. And they both, until now, have been relegated to silos within organizations, requiring highly skilled — yet scarce — practitioners to successfully deploy them.

The introduction of Automation Anywhere Enterprise A2019 eradicates that separation, capitalizing on the trend toward intelligent automation — the integration of AI, machine learning, and RPA. As evidence, nearly half (46%) of enterprises today have already deployed intelligent automation, according to an IDG study.

Integrating AI and RPA in a single platform

For the first time, RPA and AI can reside together in one web-based platform. RPA developers finally can collaborate closely with data scientists, and vice versa. And the results — truly intelligent automation — promise to be spectacular.

The Automation Anywhere Enterprise platform has always included IQ Bot, our cognitive tool that can process unstructured and semi-structured data to power intelligent automation of end-to-end processes. Now, using the drag-and-drop capability in Enterprise A2019, AI services such as decision, speech, language, and vision from third-party vendors such as IBM, Google, and Microsoft can be easily added to your workflow.

Enterprise A2019 also gives developers the power to rapidly build custom AI capabilities that are available for any business user to deploy. For example, if an insurance company wanted to intelligently automate its claims process, it could use Automation Anywhere Enterprise with IQ Bot to extract and digitize relevant data whenever a claim is submitted.

Then, it could send it to a fraud detection AI model built in the cloud to determine whether the claim was legitimate based on a fraud score. If additional analyses were needed, workers could run the data through a custom AI analytical model written in Python. Furthermore, a claimant could submit images of the car damages that could then be sent to computer vision AI models to determine the estimate of the damages.

All of that can be done in Enterprise A2019 and be easily used by any authorized claims adjuster anywhere — because it resides in the cloud with an intuitive graphical interface.

Democratizing AI and RPA

The graphical user interface of Enterprise A2019 makes it easy for businesses to deploy RPA with AI on their own, without IT involvement. AI and RPA will finally be truly democratized, driving whole new levels of productivity for businesses.

It’s important to note that Enterprise A2019 does not replace human workers. It simply gets two previously separate functional areas collaborating. Together, they’ll have a much greater impact on your business. In this way, the Enterprise A2019 platform becomes an orchestrator for AI technologies — and a logical way to incorporate AI into business decisions.

Crowdsourcing AI to get truly intelligent automation

Taking this to the next level, intelligent automation integrated with AI will soon be available through crowdsourced bots sold in the Automation Anywhere Bot Store. Businesses will be able to get Digital Workers with AI skills directly from there. No-fuss, no coding, no modeling required. Integrated AI and RPA at your fingertips, ready to work for you.

Most importantly, Enterprise A2019 will act as the launchpad for truly intelligent automation. It will spark the next revolution in the workplace, as it will drive many more tasks to be automated — even when decision-making is involved — the way the first PCs changed virtually everything about the way we worked.

The only difference is, this will be a quiet revolution. To your workers, it will feel more like a natural evolution that will put you on the path to successfully building a modern, healthy, efficient, and happy human-plus-Digital Workforce future.

The Future Is Now – The 3rd Generation of BI and Analytics Is Right On Time

It was about this time last year that we started to define the vision for the 3rd generation of BI and analytics. Our idea was simple, that data-driven transformation required a new democratized approach to the way in which we drive value from our data. Subsequently, in September, we published our whitepaper which explained how the democratization of data, augmented intelligence and analytics embedded everywhere are the prerequisites for moving beyond the centralized and later decentralized approaches that went before.

Nearly a year later those ideas are now more fact than future vision and they represent the reality of the data-driven world we occupy. There are three reasons why I believe this to be true. First is Qlik’s stand out delivery of the enabling technology. Second is the consumption of this technology by our customers. The third is what is happening in the market around us.

I’ll address the first two by looking back at our global customer event in May. In the product keynote, our team outlined how Qlik has delivered not just against each of the prerequisite 3rd generation pillars, but how we have underpinned that with an architectural approach enabling a true multi-cloud platform. Our integration of Attunity, now a division of Qlik, alongside our existing data assets enables a data integration platform which makes the democratization of data not just possible, but easily attainable for our customers. Our unique approach to augmented intelligence is also now represented in very real generally available capabilities in Qlik Sense, proven by some of the most engaging demos I’ve seen at an analytics conference, ever. Finally, our innovation with our platform enables our ability to lead in the cloud and allows customers to build and run analytics for any use case, wherever they want or are required to do so. In each case, we showed how these key innovations are driving transformation for our customers right now.

However, it’s what is now happening in the market around us that makes this even more germane. The evolution of analytics has been driven by many things. Perhaps the most pivotal until today was the 2007 series of acquisitions by IBMSAP, and Oracle that effectively killed-off the 1st generation business intelligence. While there was, and perhaps always will be some buyer appeal for a single vendor approach, those acquisitions first served as an admission that what had gone before had failed. Subsequently, prospective buyers voted with their feet and the 2nd generation – much more analysis as opposed to report-centric business intelligence – fueled the growth of Qlik and other modern platforms.

All good things come to an end, including now as we predicted the 2nd generation of BI. This time it’s the large cloud platforms who are striking the killer blow, as they use analytics as a way to consolidate ownership of customer’s data. Just like the single stack approach that went before, this approach will also likely fail to deliver the value customers expect. Data-hoarding and cloud lock-in will ultimately become unacceptable for cost and compliance reasons. The integration and exploitation of synergies will stifle the community and innovation. At Qlik we can only be responsible for our own destiny. Democratized 3rd generation analytics represents how we – with a self-contained cloud and data-independent architecture – will continue to deliver the value and business outcomes our customers expect. What we are now witnessing in this 2019 round of consolidation only accelerates the importance of this strategy. Our vision for the 3rd generation of analytics now seems even more fitting, more timely and from a personal point of view, more satisfying. Just remember, you heard it here first.

Tantex Chooses Qlik to Deliver Insights to Stay Ahead of Bustling Fashion Retail Industry

RADNOR, Pa.–(BUSINESS WIRE)–

Qlik®, a leader in visual analytics, today announced that Tantex, a Singapore-based textile and garments design and supplier, has chosen Qlik for its visual analytics platform. By leveraging the Qlik platform, Tantex is able to analyze over 25 years’ worth of data to easily identify the latest fashion trends, forecast demand, and provide spot-on recommendations to its global clientele of fashion retailers.

Established in Singapore in 1991, Tantex is a fashion garment design and sourcing company for major retailers and e-commerce brands around the world, and has been recognized as one of the 50 fastest-growing brands in Singapore. Over the years, as Tantex’s list of global retailers grew and the company expanded into more markets, executives found it challenging to analyze numerous reports that were formatted differently across departments and countries. To reduce the time-consuming process of customizing each report, Tantex chose to leverage Qlik’s visual analytics platform, to speed up decision making and strengthen go-to market strategies.

“Qlik has provided us with solutions that allow us to quickly analyze vast amounts of information coming in from different sources,” said Janice Tan, General Manager, Tantex. “Qlik’s powerful analytics solution allows us to provide recommendations to our customers based on data collected on topics such as fashion trends, customer buying patterns, peak seasons, and popular garment choices. Such capabilities have strengthened our customer service and streamlined our operations.”

Additionally, Tantex’s day-to-day operations are simplified after implementing Qlik with the help of Avensys Consulting, a Qlik partner in Singapore. The increase in overall efficiency and productivity has enabled Tantex to focus more resources on its business strategies. The interpretation of data is easy through Qlik’s smart visualizations, and the resulting insights have given the brand a competitive edge as it continues to source for fresh ways to stay ahead in a hyper-competitive market.

“We are delighted that apparel designers and suppliers like Tantex is using Qlik’s platform for their enterprise visual analytics needs,” said Scott Jennings, Director, Industry Solution, Retail Sector, Qlik. “Tantex is a prime example of a business that is increasingly innovating and harnessing the power of data to improve its operations and deliver better services to its customers. Ultimately, analytics software has a tremendous impact on what we see on the runway, as well as the everyday fashion choices available to consumers.”

About Tantex
Tantex is an established and rapidly growing fashion garment design and sourcing firm based in Singapore. The company was formed in 1991 to connect European buyers with textile manufacturers in Southeast Asia. Tantex has been ranked 29th among the 50 fastest-growing companies in Singapore in 2015, according to credit and business information service provider DP Information Group (DP Info). The business has accumulated a wealth of product, design, sales and quality data over the past 25 years. It ships more than 20 million items of clothing each year.

About Qlik
Qlik® is the leading visual 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. Customers using Qlik Sense®, QlikView® and Qlik® Cloud, gain meaning out of information from multiple sources, exploring the hidden relationships within data that lead to insights that ignite good ideas. Headquartered in Radnor, Pennsylvania, Qlik does business in more than 100 countries with over 40,000 customers globally.

© 2016 QlikTech International AB. All rights reserved. Qlik®, Qlik Sense®, QlikView®, QlikTech®, Qlik Cloud®, Qlik DataMarket®, Qlik Analytics Platform®, Qlik NPrinting™, Qlik Connectors™ and the QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.

View source version on businesswire.com: 

http://www.businesswire.com/news/home/20160906005055/en/

Avensys Consulting Awarded MSC Malaysia Status

Avensys Consulting, a Singapore based Information Technology (IT) firm has recently been awarded the Multimedia Super Corridor (MSC) Malaysia status by Multimedia Development Corporation (MDeC).

MSC Status is a recognition awarded by the Government of Malaysia through MDeC, a body set up by Malaysian government agency for companies that participate and undertake its ICT activities. It is also a mark of world-class service and achievement that comes with additional rights and privileges granted by Malaysian government to the business entities.

It is Malaysia’s most exciting initiative for growth of the global ICT industry. The MSC Malaysia status is awarded to both local and foreign companies which develop or use ICT/multimedia technologies to produce or enhance their products and services as well as for process development.

2016 Gartner Magic Quadrant for BI and Analytics Platforms

Qlik_Quadrant

 

Gartner’s Magic Quadrant report is an ideal way to understand what the market looks like for the year ahead. As Gartner explains:

“The establishment of an updated modern BI and analytics platform definition for this year’s Magic Quadrant has significantly transformed the Leaders quadrant relative to its composition in previous years.”

— Gartner, Magic Quadrant for Business Intelligence and Analytics Platforms, February 4, 2016.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

* This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Qlik.

 

What’s new in QlikView® 12

A strong platform foundation  

With the release of QlikView 12, we deliver on our commitment to strengthen and solidify QlikView — our proven, market-leading data discovery solution. QlikView 12 reinforces our unique platform approach to visual analytics by bringing QlikView onto the same modern QIX Associative Data Indexing Engine (QIX engine) that powers Qlik Sense® and the Qlik® Analytics Platform. By having our complete product portfolio on the same engine, we deliver greater compatibility between our products, and ensure that future investments made in the QIX engine will benefit both QlikView and Qlik Sense customers.

QlikView 12 also delivers a number of other benefits, including greater accessibility through enhanced mobile touch-enabled capabilities, as well as improved security and deployment options. With this release, we also offer a new RESTful API connector and Qlik’s Data-as-a-Service offering, Qlik® DataMarket.

QlikView 12 is a seamless upgrade from 11.x versions — making the customer experience simple and intuitive.

QIX engine  

QlikView 12 now runs on the second generation QIX engine, the same engine that powers Qlik Sense and the Qlik Analytics Platform. This means improved performance and easier sharing of data models (.qvd files) between QlikView and Qlik Sense. Additionally, by migrating QlikView to the same engine as Qlik Sense, we are future proofing QlikView — allowing for future investments in our core engine technology around performance, security, and connectivity to benefit all our products.

Security enhancements 

With QlikView 12, we have strengthened QlikView’s ability to meet the highest level of security requirements for companies and government/military organizations. We have done this by making more than 100 investments in security functionality across the entire product, including stronger encryption handling and more robust centralized client request handling and XML parsing. These improvements will allow QlikView to keep pace with evolving security best practices and cryptographic standards in the industry.

Mobile touch improvements 

Now all the functions available in the QlikView web client are accessible on touch devices without limitations, including exploration, collaboration, and creation capabilities. This includes improved touch gestures, additional menu options, and a refined selection model. In addition, users of hybrid devices can now switch between mouse, pen, and touch input without having to refresh applications manually.

Improved clustering 

With improved clustering, QlikView customers benefit from increased scalability, supporting higher numbers of concurrent users in multi-node environments. QlikView 12 more efficiently accesses and communicates with shared files and other meta-files, leading to improved peak performance of up to 2.5 times more new users per hour on a three-node deployment.

RESTful API connector 

A new RESTful API connector allows QlikView to natively connect to web-based data sources such as social media sites (e.g., LinkedIn, Facebook, Twitter), CMS systems (e.g., Alfresco, Documentum, Adobe), and other online services. This new connector allows QlikView to support open standards for web-based data connectivity without requiring third-party vendors or extensions.

Qlik DataMarket 

Qlik DataMarket allows users to easily augment their internal analyses with external data (e.g., weather, currency, demographics) to gain a more holistic understanding of the factors that affect the business. Qlik DataMarket is available as a service now directly within QlikView, and provides a comprehensive library of both free and subscription-based data sources from trusted providers around topic areas such as business demographics, currencies, population, economic indicators, weather, and more.

Online help 

Have a question? We’re here to help with our new, integrated online help. QlikView developers and users gain access to improved support information, including sample content and downloadable .PDF guides — helping to grow customer success with Qlik.

 

Qlik Positioned in the Leaders Quadrant

Qlik Positioned in the Leaders Quadrant of Gartner’s Business Intelligence and Analytics Platforms Magic Quadrant for Fifth Consecutive Year

Source : Business Wire

 

 

 

 

 

RADNOR, Pa.–(BUSINESS WIRE)–Qlik®, (NASDAQ: QLIK) a leader in data discovery, today announced it has been positioned by Gartner, Inc. in the Leaders Quadrant of the 2015 Business Intelligence and Analytics Platform Magic Quadrant report*. This designation marks the fifth consecutive year that Qlik has been positioned in the Leaders Quadrant based on completeness of vision and ability to execute.

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Entertainment – iOS App. Development

Company:

A Leading Digital Company

Industry:

Entertainment

Solution:

iOS Application

Duration:

2 Months

 

Background

The Customer wanted to display the company’s Sound Systems in detail across all the available models and create visually stunning displays to exhibit how each system can aesthetically sync with its surroundings. Application was to be developed to enhance sound volume, play reviews
and videos of this beautiful product.

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Pharma – SAP Implementation

Company:

A Leading Pharmaceutical Company (Singapore)

Industry:

Pharma

Solution:

SAP

Technologies:

R/3, PI and BI interface with
Informatica Platform

 

Background

The pharmaceutical industry supports: Pharma, Industrial Affairs, Vaccines, R&D and Consumer business, Innovative products, Animal health care and also standardizes the business processes across business to help the company to achieve operational efficiency and back-office productivity.

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Manufacturing – SAP Implementation

Company:

A Leading Manufacturer of Electric Switches (Vietnam)

Industry:

Manufacturing

Solution:

SAP

Duration:

5 Months

 

Background

The Customer is one of the world’s leading manufacturer of electrical Switches and systems in their sector.

To strengthen internal controls and accommodate global requirements, the customer replaced its aging legacy system with the SAP® ERP application.

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