#fridaypost

BI-dashboard Creation Best Practice

Dashboards are an essential tool for transforming data into business value. A smart dashboard uses data to show the real situation to specific groups of users. However, there is no single approach. Every business is an individual with its own goals, objectives and audience. To solve problems and achieve particular business goals, an individual approach to the dashboard development is required.

Practical Guidelines for Dashboard Development

  1. Understanding the audience

The first step in dashboard creating is defining the audience: users portrait creating, what information they need and how they will use it. More often, dashboards are designed for specific people and roles. Different business users have different data expectations and needs. Leader’s needs will differ from the manager’s needs, and manager’s needs from the analyst’s needs. The analyst needs multiple data views to get deeper insights into the data, and the operations manager needs to quickly understand whether there are deviations that require immediate action.

  1. Determining the type of dashboard

Having determined the target audience it’s necessary to choose the most appropriate dashboard type.

4 main types of BI dashboards:

  1. KPI definition

It may seem that the panel should display absolutely all indicators. However, specific goals and objectives require specific indicators. At this stage the main task is to determine the main indicators that most accurately measure success.

  1. KPI display

The dashboard should display key metrics in a way that is understandable to the audience and the focus is directed there. For example, if the key metric is customer acquisition cost, the dashboard design should emphasize that.

  1. Chart type

By understanding what information users need to see it is possible to determine the appropriate type of charts.

Main chart types:

  1. UI Design Principles usage

Well-designed dashboards follow user interface design principles to guide users to the right information.

Basic principles:

  1. Iteration and improvement

Before presenting a dashboard to a wide audience it is worth sharing with a few of its representatives, getting their feedback and making changes. After presenting the dashboard to the entire audience, it makes sense to observe a process of dashboard using and analyze user feedback.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Dasboard as an effective business tool

There are many BI tools that provide the transformation of business information into a form ready for business analysis. One such tool is the dashboard.

Dashboard is a BI tool that allows to track, analyze and report on all business performance metrics. Such a panel usually provides data visualization in the form of charts, graphs and maps. The simple and clear information presentation helps users understand it, share with other users, and work together on it. Dashboards also make it easy to connect data from many different sources. This allows users to explore and analyze data in one place.

BI-dashboard benefits:

The main stages of dashboard creation:

  1. Data integration. The first step is to collect the raw data and transform it into analytics-ready information. The process of data transformation involves the connection of data from various sources and replication, various data types transformation into standardized formats.
  2. Goal definition. For the correct dashboard creation, it is necessary to clearly define the business goal, to define what exactly needs to be analyzed, researched and optimized. The goal may be to enter new markets, optimize some business processes, determine the priority stage of the marketing funnel etc.
  3. Simple and clear visualization. The data history should be transparent and understandable. It is important to identify key performance indicators and dependency, and choose graphs, charts, and maps that most accurately visualize this.
  4. Research and collaboration. Self-service provides business users with possibility to organize their own information investigation, draw conclusions and find new solutions. Modern BI tools that offer an associative engine allow to define all dependencies and not be limited to linear queries.
  5. AI usage. Modern dashboards offer advanced analytics capabilities, that uses AI and machine learning. The tools enhance users’ intuition and suggest new ideas.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

More possibilities with Qlik Mobile

One of the main conditions for a successful business is mobility. Business executives and other professionals rely almost entirely on mobile devices to get information here and now. Mobile applications usage in operational activities allows to receive the necessary information immediately and make decisions. In turn, this allows to gain and maintain a competitive advantage in the information economy.

Qlik Sense is mobile-friendly and provides a complete mobile experience with a responsive design. SaaS users can also use the app for iOS and Android. This application further expands the customer experience and user capabilities. The application provides an improved user interface, fully interactive online and offline analysis. Qlik Sense Mobile for SaaS also has push notifications. With these notifications, users are aware of important changes to their data and can respond to them in real time. Qlik pays special attention to security issues. The application provides best-in-class security and data, application and user management.

Qlik Sense mobile app is available for download on your device from the Apple App Store and Google Play. With this application, users can manage the actions at the moment of making a decision.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Qlik Enterprise Manager

Today every company has certain requirements for data processing. One of these requirements: the rapid  data and metadata integration in heterogeneous environments for analytics. Managing individual data streams across multiple endpoints can be quite inconvenient, inefficient, and time consuming. Qlik tools allow to centrally manage data pipelines at scale.

Qlik Enterprise Manager provides a control center for the tasks of setting up, running and monitoring replication and transformation throughout the enterprise. The tool provides an intuitive management interface for Qlik Data Integration. The graphical user interface simplifies the process of designing, executing and controlling Qlik Replicate and Qlik Compose tasks.

Advantages:

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik Data Streaming”

Qlik Data Streaming

The need to quickly respond to events and make decisions is especially important for today’s business. Users are interested in working with data as it occurs. Now there is an increased interest in streaming data processing technologies. This is explained by the fact that working with real-time information allows to reduce financial and operational risks, increase customer loyalty, improve the quality of customer service, etc.

Streaming data processing involves the use of special technologies focused on receiving and processing a stream of regularly updated data. Qlik Data Integration enables the efficient delivery of large volumes of real-time analytics-ready data to streaming and cloud platforms, warehouses and data lakes.

Capture data changes in real time

Qlik provides real-time data movement from source to destination. The process is guided through a graphical interface that fully automates end-to-end replication. A simplified and agentless configuration allows data scientists to configure, control, and monitor data pipelines based on Data Change Capture (CDC) technology.

Support for sources, targets, and platforms

Qlik Replicate supports multiple sources and objects, and allows to upload, ingest, migrate, distribute, consolidate, and synchronize data across on-premise, cloud, and hybrid environments. These include:

Monitoring and control at the enterprise level

Qlik Enterprise Manager allows to create, execute and monitor many integration tasks across distribution centers and cloud environments. This makes it easy to monitor and scale the data flow in real time through KPIs and alerts.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik: Data Warehouse Automation”

Qlik: Data Warehouse Automation

Information is a key resource for any business. Easy access to data helps to gain market leadership in the digital age. It is possible to set up quick access to it with data warehouse automation, which simplifies and speeds up the data warehouse life cycle.

Qlik Data Integration automates the entire data warehouse lifecycle while speeding up access to ready-made analytical data. Data engineers have the ability to create models and new data marts, as well as add new data sources. Automation is provided at every stage of the pipeline from data modeling and real-time ingestion to data mart and control.

Advantages:

  1. Automation of data obtaining and updating in real time.

The universal solution provides a continuous process of uploading corporate data to storage in real time. CDC is the foundation for accelerating data movement from different enterprise sources into storage.

  1. Automated and continuous refinement

A modern approach to the process of creating and operating a data warehouse. Model-driven approach for rapidly designing, building and managing corporate data stores on premises or in the cloud.

  1. Trusted corporate data

Smart catalog creation for all corporate data. The security level allows to securely share all datasets, marts, etc. with other business users.

  1. Support for flexible architectures

It is quite common for organizations to implement both data lakes and data warehouses to meet different analytic needs. Qlik Compose combines warehouse and data lake automation in one unified user interface.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik Security and Privacy”

Qlik Security and Privacy

The advent of data collection and processing technologies has greatly simplified the operational activities of companies. However, at the same time, the issue of data security and confidentiality owned by the business has become more relevant.

The main Qlik’s goal is to provide high-performance and highly available global environments through which users can securely integrate and analyze data, as well as share information. Security, compliance and privacy are guaranteed for any use case: cloud service, Qlik self-deployment, a hybrid approach.

Security

Security is an integral part of the entire software development process. It takes into account security measures in all processes, such as software development, SaaS operations, enterprise information technology, etc. Qlik uses advanced security technologies and modern open standards to make users confident in their data safety.

Confidentiality

Since data is one of the most important business assets, the data privacy is too important. Compliance of Qlik solutions with all data protection laws, including GDPR, is ensured through a development process focused on security and privacy.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik Active Intelligence Platform”

Qlik Active Intelligence Platform

Over the past few years, businesses have received many useful tools designed to simplify and focus the workflow, as well as improve business performance. Among the available tools for working with data (for example, BI platforms). Data provides transparent answers to questions that allow to quickly respond to the situation and make business decisions.

Competitive ability requires real-time responsiveness. The faster an organization responds to events, the better it can compete. To do this, it is necessary to provide the system and users with constantly updated information in real time for making decisions «here and now». This is what offers Qlik Active Intelligence Platform.

Getting information that reflects the current moment is critical to business. Traditional business intelligence relies on historical datasets and is not designed to support real-time decision making and action.

Active Intelligence is a new solution that provides instant visibility into all aspects of a company. The tool provides continuous analytics based on up-to-date information in real time to determine the next steps.

Key features of Active Intelligence:

How Active Intelligence works:

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik and Microsoft”

Qlik and Microsoft

Competition in the modern business world is quite tough and is growing every day. At the same time, the need to quickly draw the right conclusions and make decisions is growing. Qlik Data Integration automates data ingestion, streaming, cataloging, and publishing in real-time mood for Microsoft Azure Data Services. As a result, users can use analytical data and conduct efficient activities.

Microsoft Azure is a cloud platform that provides the ability to develop, run applications and store data on servers located in distributed data centers. The platform is a combination of IaaS computing infrastructure solutions (OS, data storage, servers) and a set of tools and services that facilitate cloud applications development and deployment (PaaS).

What does Qlik Data Integration allow?

  1. Data warehouse automation

The data integration platform automates the entire Azure Synapse lifecycle, from the creation of a data warehouse to the time it is retired. This provides users with quick access to ready-made analytical data.

  1. Managed Data Lake Creating

Building updatable and analytics-ready data lakes (ADLS and Azure Databricks) is possible with Qlik Data Integration. The Qlik Integration Platform provides data management automation for Azure Data Lake Storage Gen2 and Azure Databricks. Tools that find, manage, and analyze different datasets increase the reliability of data throughout the pipeline.

  1. Streaming Change Capture (CDC Streaming)

The Qlik Data Integration platform uses CDC (Change Data Capture) to efficiently deliver analytics-ready data from multiple sources to data warehouses, data lakes, streaming and cloud platforms by rapidly moving them to the Microsoft data platform.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik and Google Cloud Platform”

Qlik and Google Cloud Platform

Google Cloud Platform (GCP) is a set of cloud computing services that provides the ability to work with a variety of computing and hosting tools.

What role does Qlik play here?

Qlik solutions significantly speed up data replication, processing and streaming processes for all databases, warehouses and data lakes to the Google platform.

Data replication

Qlik Replicate is the foundation for efficient data pipelines in GCP, moving data continuously and at high speed from source to the aim point. Agentless configuration makes it easy to configure, monitor and track downloads and updates in real time using Qlik’s modified data capture technology.

Qlik Replicate allows to:

Data warehouse automation

Qlik Compose automates the design, implementation and updating of data warehouses and data marts. The tool automates data modeling, ETL code generation, and workflow while minimizing manual work and errors during modeling and model deployment in Google BigQuery. With the help of Qlik Compose, it is possible to significantly speed up the execution of cloud analytics projects, optimize data warehouse processes, and reduce the time spent on creating analytical data.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik and SAP”
GoUp Chat