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Qlik Web-Connectors

Qlik Web-Connectors

Fetch Data From Social Media and Any Web-Based Data Sources with a Light-Weight Web

Have you been struggling to fetch a data from Facebook, twitter, Google Analytics or any Web-based applications and your time is wasted while trying to find a better way to make your work simple? Everyone want their work to be simple and they also want to be happy at the end of the day. It is not also about you as an individual, but your organisation can improve their products as well as their services to their potential customers.

At Modernising Management, we take care of your data-to-actionable insights automation through data engineering, data analytics, & reporting and artificial intelligence! You take care of your competitors while we support your data literacy maturity growth across your organisation!

Data resides in more disparate locations as social media and other cloud-based data sources are becoming increasingly important. Companies need the ability to easily measure how well their social media activities are resonating in the market and with customers.

People spend 75% of their time collecting data and only 25% of time analysing, but with Qlik Web Collectors is other way round.

Qlik Web-connector is nothing but a light-weight web that helps you connect with any social media or web-based data sources through specific APIs and fetch data that you want. It provides out-of-the-box connectors that are designed for specific application and data sources. This eliminates the need for any in-house connector development or maintenance and allows for quick implementation.

 It does not matter the size or the kind of data you want it to be fetched, you just make selections and Qlik web-connector will do its job by generate Qlik Sense and QlikView load scripts that you can paste into script editor. 

You can learn how easy it is to fetch data and bring it straight into your Qlik Sense or QlikView environment by Michael Tarallo.

How To Download and Install Qlik Web Connectors

There are possible data sources available for Qlik Sense Cloud Business subscription like Amazon Redshift (Beta), AYLIEN News(Beta), Facebook Fan Page& Groups(Beta) and more.

I believe that Qlik Web Connector can be a solution you have been looking for, it will minimise time you use to spend trying to fetch data from social media and other cloud-based data sources.

Qlik Insight Bot

Qlik Insight Bot

Artificial Intelligence Powered Conversational Analytics

Ask questions and get instance artificial intelligence infused answers with infused predictive analytics. Qlik Insight Bot is fully integrated with Qlik Sense, allowing users to seamlessly move between conversational and visual analytics.

Qlik Insight Bot offers an AI-powered, conversational analytics experience, giving everyone a faster and easier way to ask questions, get insights, and make data-driven decisions using natural language.

Analytics That Speak Your Language

Qlik Insight Bot offers a fast and easy way to ask questions and discover insights using natural language. It’s available right in Qlik Sense and through popular tools such as Slack, Skype, Salesforce, and Microsoft Teams, meaning your people can make data-driven decisions wherever they are at any time.

With each question, it instantly surfaces relevant charts and insights, including key drivers, comparisons, predictions and more. And its self-learning AI makes the system progressively smarter.

Engage with your data

Ever just wanted to have a conversation with your data?

Acumen BI explains that if you can chat, you can engage with your data. The simple chat-based interface is one click away and will deliver information in the context of Qlik applications you have loaded such as sales, retail, finance or asset focusses.

Simply typing “show measures” will present a list of measures from which users can select or you can ask to show sales for a specific product on a specific month. You can even specify the type of chart you would like to visualize the data in.

Bridge the gap between conversational and visual analytics

Conversational analytics provide a great way to quickly ask questions and get answers.

Often, new scenarios arise where visual discovery offers a better path to insight. Unlike standalone Natural Language Processing (NLP) analytics products, Qlik Insight Bot is fully integrated with Qlik Sense, allowing users to seamlessly move between conversational and visual analytics.

 The Qlik® Associative Engine lets users interact conversationally and dive directly into visual analysis to explore further, without losing context. It’s the best of both worlds.

Drive analytics adoption and increase the value of your data

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.

According to Gartner, by 2020 “50 percent of analytical queries will be generated via search, natural-language processing or voice, or will be automatically generated”

Gartner Magic Quadrant for Analytics & Business Intelligence 2018

To find out more, you can download the Qlik Insight Bot AI-Powered Conversational Analytics Data Sheet. Get in touch with our Modern BI experts to talk about the Qlik Insight Bot and how it can help transform your business.

Get Faster Actionable Insights with Qlik Catalog

Get Faster Actionable Insights with Qlik Catalog

Qlik Catalog | Enterprise Data Catalog

Data is the heart of the economy and the fuel that helps most organizations innovate and lead past the competition. Organizations collect huge amounts of data. But, most of the data that can guide decisions and actions is not analytics-ready or accessible.  So, what good is data without sense? Today some organizations are still struggling to quickly prepare and deliver data as clean and organized business-ready information for analytics and other data-driven processes. As cloud big data and other information sources continue to increase rapidly, this situation will only get worse without a different approach.

Meet Qlik Catalog, formerly known as Qlik Data Catalyst, a modern enterprise data management solution that simplifies and speeds up how you manage, prepare and deliver analytics ready data to business users across your enterprise.

With Qlik Data Catalog you can rely on data security, data enrichment features for data transformation and business rule implementation though workflows. The end result of your governance work is business ready data quality solution built from the metadata level up.

How does Qlik Catalog work? Let us look at the core capabilities of Qlik Catalog

Onboard Data

Qlik Catalog automatically profiles and documents the exact content, structure, and quality of your enterprise data using built-in data loaders to simplify and accelerate the process.

Enrich the Catalog

Qlik Catalog builds a Smart Data Catalog that documents every aspect of the data and data management process. As your users search and explore the catalog, technical, business, and operational metadata makes each data element understandable, transparent, trustworthy, and actionable.

Prepare the Data

Get your data business-ready with data standardization, cleansing, and protection measures. Easily enhance, blend, and filter data using a simple drag-and-drop process.

Shop and Publish

Let users easily and securely “shop” for the data they need, exporting, sharing or automatically publishing data sets to Qlik Sense and other analytic tools and applications.

Qlik Data Catalyst will let you take advantage of the latest big data and cloud solutions. Transform raw data into actionable insights, empowering people across your organization to make smarter decisions and drive better outcomes, every day.

Big Data vs Data Science?

Big Data vs Data Science?

What is Big Data?

We all use smart phones, right? But have you ever wondered how the data is generated in various forms such as texts (SMS), phone calls, emails, photos, videos, searches, music the list is endless. In South Africa there are about 20 to 22 million people that uses a smart phone and it accounts to one third of the population(1). Now imagine how much data is used in the globe?

As a leading Twitter Influencer that plans, monitors and need to provide feedback to my customers on their Twitter campaigns, such as the Netflix Movie Club, I have increased my retention rate by 80%!

Enricoh Alfonzo

CEO, Social Media Analytics, Alfonzo Words

Big Data basically refers to the huge volume of data that cannot be stored and processed using the traditional approach with the given timeframe. Which is characterized by the 5Vs:

Interesting fact,  over 210 million snaps are created every single day (Snapchat, 2020), Google processes over 3.5 billion searches per day (Google 2019), more than 2.2 billion monthly active users on Facebook (Facebook 2020), 5 billion videos are watched on YouTube every single day and there are 306.4 billion emails sent every day. THAT’S A LOT OF DATA, RIGHT? For us to be able to store and process such data, we make use of frameworks like Cassandra, Hadoop and Apache Spark. Only mentioning a few.

Our implementation methodology ensures we tell the story of your data. It is imperative that we plan the story well to ensure the user can seamlessly navigate across the analytics and easily interpret the data.

What is Data Science?

Data Science is a combination of fields like Mathematics, Statistics, Programming, Machine Learning and related concepts in order to understand and analyze business events with respect to data. It also involves solving the problem and having various ways to come up with a solution. It also has ingenious ways of capturing, cleaning, preparing, and analyzing the data.

Data science is not about making complicated models. It not about making awesome visualizations. It is about using data to create as much impact as possible for your company. Impact can be in a form of Insights and Product Recommendations.

That is where our data analytics services come into play. A good visualisation requires a good design, correct utilisation of colour, context, naming conventions, dynamic rendering and so forth so it is essential that all visualisations are well planned within the total application design and user experience.

Brief History of Data Science

Before data science, we popularized the term data mining in an article called (2) From data mining to knowledge discovery in databases in 1996 in it referred to the overall process of discovering useful information from data. (3) According to William S. Cleveland, he wanted to bring data mining to another level. He did that by combining computer science with data mining. We can say he made statistics a lot more technical which he believed would expand the possibilities of data mining and produce a powerful force for innovation. He then called this combo Data Science.

In conclusion, organizations make use of big data to identify trends and detect patterns to predict the future. By doing so organizations know more than their competitors and Big data is the foundation of Artificial Intelligence.

We have vast practical experience in developing Artificial Intelligence solutions for our customers. We have implemented prediction and recommendation models on large scale within our platforms.

Data Science is the study of data, this data can also be in the form of Big Data. Therefore, to sum it up, Big data is the fuel required by Data Science to arrive at meaningful insights.

At Modernising Management we believe, As an expert data engineering and advanced analytics company we are best positioned to unpack a problem, perform due diligence, statistically analyse it to provide insights and recommendations.

We believe that Our Business Intelligence solutions focus on the provision of analytics ready data through effective data engineering practises, interactive data analytics accessible via any device, static reporting solutions, Artificial Intelligence (AI) solutions and data literacy management.

As a company We support our customers to define, articulate, understand and manage their data and advanced analytical strategic intent.

Need more insights for your company? Contact us, MM is eagerly waiting for you!

AnalyticsGate 365 Partnership

AnalyticsGate 365 Partnership

We are very happy to announce our partnership with akquinet – AnalyticsGate!

 

AnalyticsGate with AnalyticsGate 365 product is an add-in for Microsoft ® Excel and Qlik Sense. AnalyticsGate 365, unleashes the power of the Qlik Sense ® platform directly from Excel. The Excel Add-In combines the advantages of Qlik Sense (data access, security etc.) with the familiar Excel working environment.

Michael Walther

Michael Walther

CEO - Akquinet Americas Corp.

“We are very proud to have gained one of the most competent partners in South Africa specializing in Business Intelligence with Modernising Management. We see South Africa as a very interesting growth market with high potential, especially regarding the native e-strategy for the digital transformation of economy and society. In our opinion Modernising Management has the optimal product mix of data management, data visualization and predictive solutions to provide its customers with the best possible support on their way into the digital future and thus make better data-driven decisions and gain a significant market advantage.”

John Paul Kirton

John Paul Kirton

MD - Modernising Management (Pty) Ltd

“This partnership is very strategic for MM as we are a specialist financial services company that works within environments where Microsoft Excel is prevalent and does bring its challenges with regards to standardizing the data processes and standards outside an enterprise business intelligence product. This brings those standards together, so you can leverage the governance, security etc. in Qlik Sense with an Excel interface, visualizations and syntax for combining Qlik Sense data within Excel and using DAX on top for self-service requirements. I believe this opens up new opportunities for our Qlik customers. “

Michael Walther

Michael Walther

CEO - Akquinet Americas Corp.

“With our product AnalyticsGate 365 we want to make a contribution to this. This Excel add-in allows the full power of Qlik to be used in Excel. Users keep a single point of data when using their familiar Excel via the add-in. They can work in Excel based on the latest Qlik data. The security rules defined in Qlik still apply. This has convinced many controllers around the world. Additionally, AnalyticsGate can be used to implement automated reporting. An integrated alerting function will be presented soon. We are looking forward to a successful cooperation with Modernising Managament!”

Contact us for a demo of the AnalyticsGate Solution today!