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#Examples of business intelligence applications how to#
#Examples of business intelligence applications software#

#Examples of business intelligence applications how to#

Data literacy offered as a service goes way beyond education on how to use a product.Modern business intelligence tools provide open API’s and an extensible platform. Embedded analytics put actionable analytics and data into the hands of people right where they make decisions.Qlik even offers self-service intelligent alerting and advanced statistical trending and outlier evaluation that immediately notifies users of material changes in the data. The best BI tools seamlessly integrate with the data offerings mentioned above and enrich the human experience through AI rather than a black box approach.

Augmented analytics provides better insights, faster.

Modern data catalogs optimize existing data assets and then curate, enrich and transform that data into business-ready information which can be made accessible to business users via a simple catalog and marketplace. This simplifies and accelerates an organization's ability to manage, prepare and deliver analytics-ready data to every business user across a diverse data landscape.

A data catalog provides actionable data, on-demand.

By leveraging real-time data integration technologies such as change data capture and streaming data pipelines, the best BI tools change how data is shared and how it is made available across the enterprise. It’s about moving from raw to analytics-ready data in order to advance the speed and accuracy of analytics and improve productivity.

Data Integration focuses on improving communication, integration and automation of data loads between business analytics consumers and the data teams.

Finally, providing data literacy as a service helps all users trust and have the confidence to work with the data. Augmented analytics helps users understand the data and embedded analytics helps all users take action on it. Then, a business-ready data catalog helps all users find this data.

#Examples of business intelligence applications software#

This means taking a holistic approach, bringing together data integration, data analytics and data literacy.Īs shown above, business intelligence software should actually be a holistic system, starting with enterprise data integration to make all data universally accessible to all users.

Modern business intelligence tools must close the gaps between data, insights and actions, to better inform decisions, drive actions, and propel business forward. Leverage data literacy training and tools to help your organization become more data-driven.Data analytics alone is no longer enough. Be willing to adapt your BI reporting process to advances in technology and changes in business needs. Learn how to produce compelling visualizations and design dashboards so you can highlight important information and use visual cues to tell your data story in an engaging way. Modern BI tools provide a governed data catalog which profiles and documents every data source and defines who can take which actions on which data. Traditional BI tools require users to go through the IT team to set up permissions. Make sure you have a flexible deployment and scalable multi-cloud architecture so that users can access and share data insights between on-premise and cloud deployments while keeping governance and trust standards high. Turn raw data into clean, business ready information via data replication, ingestion and transformation to combine different types of data into standardized formats stored in a repository such as a data lake or data warehouse. Use KPI examples to help guide teams in selecting the most impactful key performance indicators. Define in advance of any project or program all BI reporting requirements for different stakeholders.

Identify your audience and their needs.

Effective business intelligence reporting starts with a set of proven best practices.