Having emerged in the 1960s and developed in the 1980s, Business Intelligence focuses on converting raw data into actionable insights to impact businesses. Business intelligence is a combination of bu...
Having emerged in the 1960s and developed in the 1980s, Business Intelligence focuses on converting raw data into actionable insights to impact businesses. Business intelligence is a combination of business analytics, data mining & visualization, data tools and infrastructure that facilitates self-service analysis and efficient governance of data to make data-driven decisions.
Below are some of the business intelligence tools to drive changes, forecast the future to improve adaptability and avoid inefficiencies.
1. Yellowfin BI
Yellow BI is an enterprise analytics tool that offers automated analysis, ad-hoc analysis, and collaboration. It also provides a customizable multi-tenant architecture to change company logos and colors and enables users to share data in the form of storytelling.
Easy to use reports interface for standard and self-service reports
Offers a variety of graph and chart formats for visualization along with scorecards to track KPI’s
Data visualization with advanced graphical techniques to effectively communicate complex information
Ability to search global data and discover new insights
Data column filtering to filter data based on predefined or auto modeled parameters
Auto suggestions on data types, schemas and hierarchies
Predictive analytics to foresee future challenges and trends
Big data services to handle voluminous, complex and siloed data sets
Data transformation and data modeling to extract accurate insights faster
Domo is a cloud-based business intelligence platform that integrates data from multiple sources. Used by both small-scale and large-scale businesses, the tool provides micro level and macro level visibilities to comprehend RoI across channels and analyze region-specific best-selling products.
Attractive data visualization coupled with social features and advanced security
Integrates on-premise data and external data sources in the cloud into one view
An open system that accepts all contributions and functionalities can be extended with developed apps and third-party integrations
Mobile-compatible platform with solid Business Infrastructure
Frequent issues with updates
Hard to extract data from cloud
3. IBM Cognos Analytics
IBM Cognos Analytics is an AI-fueled business intelligence platform that provides actionable insights with a thorough analysis of data. It helps trace underlying patterns with a visualized report.
Data integration from various sources
Custom-made reports, drag and drop facilities to develop new dashboards and reports
User-friendly interface to enhance distribution of reports
Enhanced data modeling and data cleansing to maintain data integrity
Built on a web-based interface, hence not hardware-specific
Automated modeling to validate and map connections between data points
AI and NLP capabilities for efficiently handling and processing of surplus data
Seamless creation of charts, graphs, maps, voiceovers, and repeat functions
Less user-friendly for users having minimum technical expertise
Maintenance is hard as there are too many modeling tools and studios
License is not cost-efficient of small budget firms
Configuration flexibilities are limited
Web-based authoring environment grows slow with the growth of data size.
Tableau offers advanced data visualization to explore and analyze data across various sources. Uses VizQL query language to convert drag-and-drop user actions into data queries.
Translate queries into visualization
Manage metadata, import data of all sizes and ranges
Enables creation of ‘no-code’ data queries
Real-time analysis, data blending, and collaboration of data
Mobile-ready, and interactive dashboards with dashboard commenting to share your thoughts with other tableau online users
Data notifications and automatic updates
Data sharing with storytelling
Highlight and filter data
Security permissions at all level
High cost and inflexible pricing
Poor versioning and embedment issues
Inadequate functionalities for large-scale reporting, building of data tables and static layouts
Doesn’t provide centralized data level security
As a product of Qlik, QlikSense is very popular for its user interface as it is optimized for touchscreen. Makes analysis and decision making easier with snapshots and highlights
Flexible, Smart and advanced visualizations with high graphic standards for better data analyzation, mapping, and calculation
Drag and drop features to make data preparation and data loading easy
Centralized sharing, collaboration, and management to ensure easy sharing of data, data safety, monitoring, and control. Enterprise-level governance and scalability
Data storytelling capability to provide in-context commentary for displayed data analytics visuals
Mobility: Equal access to data anytime and anywhere
Data preparation and integration from various sources like file-based, on-premise, cloud-based, web sources, and third-party extensive libraries.
Data optimization by indexing and compressing
Efficient dynamic recalculations on data
Data-level security is built at the document or report level, hence no centralized security. Restricting specific users without creating a dashboard is not possible
Difficult to embed into existing software applications or agency portals
The interface is outdated and not user-friendly
Cost prohibitive and difficult to operate for customers with less technical expertise
RAM limitations for upgrading and poor performance with respect to speed
6. SAP Business Intelligence
SAP Business Intelligence offers a number of functionalities in one platform. Robust software that provides advanced analytics solutions like real-time BI predictive analytics, machine learning, and much more.
Reporting & Analysis, and Enterprise Business Intelligence Reporting System to identify trends and analyze the root cause of business problems or issues
Ad Hoc Querying and Reporting to brainstorm on specific questions or insights and actively participate in the decision-making process
Self-Service Data Visualization tools and Analytics applications to aggregate data, enable storytelling features and map customer journeys
Enterprise-wide information sharing for business users scattered within the organization to enable well-informed business decision making
Interactive Role-Based Dashboards that enables seamless user experience across mobile devices
Easy integration with Microsoft Office applications
Real-Time Analytics and Large-Scale Data Analysis to efficiently import large amounts of data, manipulate data and perform analysis on multiple dimensions
Embed Data Analytics Information into PowerPoint for data-driven decision making and forecasting
Not much user-friendly, hence less preferred by customers who are not technology strong
Not cost-efficient especially for small companies
7. Clear Analytics
Clear analytics enables users to perform self-service analytics within an Excel-based environment. Provides secured and ad-hoc access to data to piece ad-hoc reports and publish data to Microsoft’s Power BI cloud portal.
Centralized data storage to mitigate data risks, improve security and sharing of data
Track and monitor data modification and report changes through spreadsheet without impacting underlying spreadsheet’s integrity
Customized dashboard creation and Graphical data presentation to identify KPI’s and issues
Predictive analysis to map underlying patterns and enable statistical forecast
Available only in English
Available only through on-premise deployment, hence collaboration between companies through the cloud is not possible
Largely dependent on Excel and not suitable to work on mobile devices remotely