Qlik: Toward a Data Literate Future

Follow Qlik on :

Mike Capone, CEO It was in January 2018 that the data analytics leader Qlik ‘clicked’ the reset button. Under new management now, the vision was quite clear—to keep embarking on the innovation path. What had changed was the leader who would show that way. Mike Capone, the former CIO and head of Product at ADP and the COO of Medidata Solutions had taken the biggest leap of all to become the CEO of Qlik. While his previous stints provide him with the first-hand experience in leveraging the power of data through analytics, he also has been on the other side of the business as a CIO, giving him the unique background to lead Qlik’s mission to be a leader in the analytics economy. He informs, “I’ve seen how the smart use of data and analytics can have transformative effects on an industry, and I am excited to join a company that enables customers in every industry to re-think what’s possible. With ongoing investment in augmented intelligence, big data and the internet of things, coupled with its hybrid-cloud platform approach, Qlik is uniquely positioned to lead this new era of media and entertainment.”

Well, he is not wrong after all. Leveraging their associate engine has enabled Qlik to deliver a unique ability for its clients such that they can change their business models. The associate engine operations by combining diverse data formats from an unlimited number of sources and indexing them to find the possible associations. “We believe our associative engine and our ability to pull in disparate data sources, and make sense of them, is far and away unique in the marketplace today,” mentions Capone.

Operating as one of the world’s leading providers of analytics software and visualization analytics, Qlik empowers its clients by solving both simple and complex analytics problems. “Our strengths are working efficiently with end-users, being user-friendly, and building application analytics that benefits the entire enterprise in solving complex problems,” states Capone. Qlik works on the aim to embed analytics into every operational and strategic decision-making process inside every company. They strongly believe that data is the currency of the future, and therefore, organizations must become data literate to compete in the future. “Companies will get more efficient by putting data in employees hands. If staff have to queue outside the data scientist’s office to get their questions answered they are not going to be able to compete in the long run,” says Capone. An example of this democratization of data, he cites two disparate examples; one is a US-based global publisher, Conde Nast, and the other is a US propane gas supplier AmeriGas, who have reduced costs by US$20 million annually by giving their drivers a simple analytics app that told them what delivery routes would be most effective. On the other hand, at Conde Nast, 90 percent of their employees have been signing on to Qlik every day and leverage it to manage their sales and distribution holistically. Such has been the prowess of the company over the years as it has solved critical problems of different organizations, one at a time.
Enabling Analytics with Business-ready Media Files

At the core of Qlik’s data empowered operations is their Qlik Data Catalyst. A modern enterprise data management solution, Qlik Data Catalyst, simplifies and speeds up how an organization’s catalog, manage, prepare, and deliver trustworthy and actionable data to business users across an enterprise. The solution builds a secure, enterprise-scale repository of all the data your business has available for analytics, giving the data consumers a single, go-to catalog to find, understand, and gain insights from any underlying enterprise data source. The solution’s data preparation and metadata tools streamline the transformation of raw data into analytics-ready assets, while the product’s Smart Data Catalogue and graphical user interface (GUI) help people quickly discover and select whatever data they need. Built on a platform of hardened data security and featuring governance capabilities, the clients are enabled to easily integrate Qlik Data Catalyst with any of their other data management tools to gain enterprise-grade scalability, reliability, and performance.


With an ongoing investment in augmented intelligence, big data and the internet of things, coupled with its hybrid-cloud platform approach, Qlik is uniquely positioned to lead this new era of media and entertainment

With Qlik Data Catalyst, data consumers across the organization get on-demand access to business-ready data through a data marketplace, which is an integrated, secure, enterprise data catalog. The solution also provides flexible options that allow organizations to decide what data gets integrated into Qlik Data Catalyst collection and what stays in place, while still ensuring all data in the collection is fully documented in the Smart Data Catalog. Clients can choose from an option of deploying the platform on-premises, on the cloud, or a hybrid deployment approach, as well as multi-cluster models. This allows the clients to source, prepare, and seamlessly deliver their data. This allows the clients to increase customer lifetime value and preserve margin, and grow their competitive advantage in TV, mobile, internet and print.

Enterprise-Grade Data Management for Media and Entertainment

Delivered as a self-service platform, Qlik Data Catalyst can produce analytics-ready data on-demand, allowing data analysts, downstream applications, algorithms, or other data consumers to find and begin using new data in minutes, not months. By preserving and cataloging new datasets and data preparation flows as they’re generated, Qlik Data Catalyst empowers the users to reuse and build on previously created assets in the marketplace.
Further, the solution facilitates the use of metadata to capture, enforce, and monitor data policies and usage from the time data enters your marketplace. It delivers on the data marketplace vision by ensuring that the data marketplace includes the full range of essential enterprise-grade data management capabilities, including robust security, governance, performance, interoperability, scalability, and reliability.

"Our strengths are working efficiently with end-users, being user-friendly, and building application analytics that benefits the entire enterprise in solving complex problems"

Metadata plays a central role in Qlik Data Catalyst, far beyond simply documenting data with simple cataloging or classification. In Qlik Data Catalyst, metadata—captured in a Smart Data Catalog—drives the enterprise data management process and many of the solution’s key capabilities. Metadata is used to structure, document, secure, and manage data collection, ensuring you have a well-governed marketplace (rather than a swamp). IT teams, data stewards, and data consumers access and use metadata through the Qlik Data Catalyst’s GUI to find, understand, and work with data in the marketplace. And data operations teams use the metadata to automate the integration of the solution’s workflows with other enterprise schedulers, applications, or repositories at scale. For media and entertainment companies, they can use their valuable media assets to capitalize on business opportunities. The solution allows clients to gain holistic business visibility across all channels and improve revenue and customer loyalty. “Our vision is for a data-literate world. Where people, businesses, organizations, and governments tackle their most complex challenges with data. That’s what excites us here at Qlik,” says Capone.

The Future ‘Qonnections’

Although Capone started his stint as the CEO of Qlik in January 2018, it was at the April Qlik Qonnections event in Orlando that the veteran address the company’s clients about licensing changes and new hybrid/multi-cloud, augmented intelligence and development features. He promised accelerated development of advanced authoring and visualization capabilities in Qlik Sense, the vendor’s newer, webbier and more self-service oriented product. And despite an “inviolable” promise to maintain support for Qlik View, the company’s original product, Capone also announced new migration tools, a shared Hub interface for all Qlik apps and, most importantly, new licensing terms designed to make it easier to move from Qlik View to Qlik Sense. On product and product strategy, executives laid out Qlik’s evolved vision and capabilities on three fronts: cloud, smart capabilities— augmented intelligence—and developer support. “Qlik is a great organization and I am excited for what the future has in store. We are in the right place at the right time because nobody is turning down conversations in analytics. As I look to the future, cloud transformation is critical but unfortunately, the complexity of analytics has slowed the transition to a full-cloud model,” informs Capone. “However, we are at the forefront of this transformation as we are building our assets in the cloud. By leveraging the cloud infrastructures’ infinite scale, the capacity on demand, and the power of our analytics platform, companies can lead with data instead of with their gut.”

Qlik News

Qlik, DataRobot Partner to Combine Augmented Intelligence and Predictive Modeling

Qlik announced a partnership with DataRobot to bring automated machine-learning modeling directly into Qlik, giving business users the power of predictive data decision-making within any analytics workflow. This integration greatly enhances a user’s ability to execute the entire range of data analysis – from historical and current state to future predictions – right within one Qlik instance. The partnership also builds on Qlik’s continued delivery of augmented intelligence and machine learning enhancements that give business users the ability to gain deeper insights from all their data.

“Machine learning is essential in helping users explore the vast arrays of data needed for unique insights that drive outcomes,” said Drew Clarke, SVP, Office of Strategy Management at Qlik. “The integration with DataRobot enhances Qlik’s existing AI and machine learning capabilities by bringing predictive modeling usually limited to data scientists to every business user.”

“We’re investing heavily in our data analytics performance to help democratize decision making across the business,” said Moto Thoda, Vice President of Information Services at Tokyo Century. “Working with innovative solutions like Qlik and DataRobot will help users make better decisions and more accurately predict where our best opportunities are, all through real-world data.”

Enterprises want to democratize data and enable users to make better data-driven decisions while leveraging artificial intelligence and machine learning. Qlik already delivers machine learning capabilities through its cognitive engine and platform with Insight Advisor, which auto-generates and suggests the best analytics and insights to explore based on the overall data set and a user’s search criteria. Now by leveraging Qlik’s open platform, extension technology and the open source Qlik DataRobot connector, DataRobot allows Qlik users to develop and democratize machine-learning models.

“Leading enterprises are embracing the need for AI and machine learning, and want help applying these innovations at scale across the business,” said Seann Gardiner, SVP of Business Development at DataRobot. “Automating data analysis and predictive machine learning driven models meets a need data scientists can’t scale to fill, and will enable business users to get more value and understanding from data not otherwise possible.”

Qlik to Acquire Attunity for $560 Million

Qlik, a provider of data analytics, and Attunity, a provider of data integration and big data management software solutions, recently signed a definitive agreement under which Qlik will acquire Attunity. The transaction is expected to close in the second quarter.

Under the terms of the agreement, Qlik will acquire all outstanding ordinary shares of Attunity for a total value of approximately $560 million.

Building on Qlik’s recent acquisition of Podium Data and the introduction of Qlik Data Catalyst, 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.

“Attunity’s 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,” said Mike Capone, Qlik CEO. “Attunity has demonstrated strong growth in a large market and together we’re better positioned to serve our enterprise customers along with our partner ecosystem to solve the most challenging data problems.”

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.

According to Qlik, the acquisition will add Attunity’s partner network to Qlik’s extensive partner ecosystem, further expanding Qlik’s go-to-market reach and strengthening its data lake management and cloud infrastructure partnerships, including Microsoft, Amazon AWS, Cloudera, and Snowflake.

Qlik Acquires CrunchBot and Crunch Data to Augment Conversational Analytics Capabilities

Philadelphia: Qlik announced it has acquired the CrunchBot AI-powered analytics bot along with Crunch Data Inc.’s experienced team of AI and solution development professionals. Now users can interact with and understand their data using natural language through Qlik Sense and within leading collaboration tools such as Slack, Skype, Salesforce Chat and Microsoft Teams. This expands Qlik’s existing augmented intelligence and cognitive capabilities by delivering additional conversational analytics built leveraging Qlik’s platform and open APIs.

“Bringing CrunchBot and Crunch Data into Qlik will help users more easily inject data regularly into workflows, making analytics an essential element in daily collaboration and decision making,” said Mike Capone, Qlik CEO. “Qlik continually looks for new ways to deliver augmented intelligence to users and improve data literacy. These acquisitions help expand the ability of our customers and partners to leverage data and insights where work happens, increasing the value of both data and the organization.”

According to Gartner, “By 2020, 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated”.(1) Qlik’s customers already benefit from augmented intelligence and natural language search capabilities within Qlik, and CrunchBot expands and extends those capabilities through a conversational, natural language interface.

CrunchBot works uniquely with Qlik, bridging the gap between visual discovery and conversational analytics. As a Trusted Extension Developer (TED) accredited solution, validated by Qlik for quality and functionality and built upon Qlik’s open API framework and Associative Engine, CrunchBot enables users to:

• Ask questions in a conversational manner through the Qlik Sense UI or popular collaboration tools such as Slack, Skype, Salesforce Chat and Microsoft Teams;

• Explore and ask questions of their data through voice interaction with integration to services such as Amazon Alexa;

• Receive robust answers and insights including additional context with auto-generated charts, interpretations, key drivers, period-over-period calculations and predictions for measures;

• Seamlessly dive directly into Qlik Sense analytics apps based on the results, with the context (selection state) retained;

• Leverage unique Natural Language Processing (NLP), which automatically trains itself and tracks user inquiries over time, and Natural Language Generation (NLG) which delivers insights for not only what is happening, but also why – and where to go next.

Unlike standalone search products, this approach offers the best of both worlds – allowing users to enter an experience conversationally and then transition to visual exploration for deeper understanding and discovery. Qlik customers and partners will see increased analytics adoption and user data literacy with a faster and easier way to ask questions, generate insights, and make data-driven decisions with CrunchBot.

Crunch Data will help drive analytics adoption and customer successes, integrating immediately into Qlik’s existing customer success organization to expand Qlik’s ability to deliver value-added and managed services. The Crunch Data team, a mix of offshore development and U.S.-based AI professionals, has a strong track record of successful project engagements with brands like Century Link and Hortonworks.

“Qlik is the analytics leader in bringing augmented intelligence and machine learning to enterprise users,” said Nish Patel, CrunchBot CEO and Crunch Data Co-Founder. “We’re thrilled to become part of the advanced capabilities that Qlik continues to bring to market, helping enterprise customers realize the bottom-line value of making it easier for their employees to converse with data.”

CrunchBot is immediately available to customers through Qlik today, and will be licensed as a value-added solution to the Qlik Sense platform. To be named the Qlik Insight Bot, this new product will be available alongside Qlik’s existing Insight Advisor capability and will be further integrated with the Qlik cognitive engine to deliver even more value to our customers.

1) Gartner: Augmented Analytics Is the Future of Data and Analytics, 31 October 2018 - ID G00375087

Company
Qlik

Headquarters
Radnor, PA

Management
Mike Capone, CEO

Description
A leading data analytics platform and the pioneer of user-driven business intelligence