Selecting the best vendor and solution can be challenging and requires careful research and consideration of factors other than the system’s technical capabilities. In order to streamline your search, we’ve compiled a list of the top retail business intelligence solutions in one location.
Alteryx
Self-service data analytics business Alteryx specialises in tools for prepping and combining data. A repeatable method for data organisation, cleansing, and analysis is offered by Alteryx Analytics. This tool helps business analysts connect to and clean data from spreadsheets, cloud applications, data warehouses, and other sources. The platform has capabilities for carrying out a variety of analytical activities from a single interface (predictive, statistical, and geographic).
Amazon offers a cloud computing service called Amazon Web Services (AWS). A serverless, embeddable, cloud-based business analytics tool incorporating machine learning is called QuickSight. With the help of this tool, you can develop and distribute interactive BI dashboards that support natural language queries. Without any extra infrastructure, it may grow to tens of thousands of users. Pay-per-session pricing, which is promoted by QuickSight, suggests that users only pay for dashboards or reports when they really use them. Any device may be used to access a dashboard.
AnswerRocket
A data analytics tool for businesses that depend on search for sales is AnswerRocket. The software allows you to run reports and do analyses without any technical expertise and allows you to ask business-related queries in everyday language. AnswerRocket combines powerful analytic skills with machine learning and artificial intelligence. Technology also offers the ability to automate repetitive tasks and provide quick responses to ad hoc questions. Voice recognition and a mobile-friendly interface are both features of AnswerRocket.
A single platform called BOARD BOARD integrates predictive analytics, performance management, and business intelligence. As a result, all apps quickly get updates to any data, models, security profiles, or business rules. All of the instruments required to build and maintain databases, data displays, analyses, and process models are part of the solution. There is also a SaaS version of the platform called BOARD Cloud, which is supported by Microsoft Azure.
A cloud-based, mobile-first business intelligence platform called Domo Domo assists organisations in combining, analysing, and using data across the whole organisation to facilitate quicker decision-making and action. The Domo platform enhances current data warehouse and business intelligence technologies by enabling users to create custom applications, automate data pipelines, and make data science accessible to everyone through automated insights that can be easily shared with internal and external stakeholders.
Atchison Vantara
Companies may access and combine data of all types and sizes with Hitachi’s Pentaho analytics platform. The program’s numerous components enable extensive data preparation and integration. Pentaho has been designed from the ground up to work with and be integrated with other apps, portals, and procedures. Analytics may be used by businesses to include reports, ad hoc analysis, bespoke dashboards, and visualisations. Additionally, it makes use of an open API to support charts, graphs, and visualisations from other sources, providing a greater range of embeddable data.
IBM
Through its two separate product lines, IBM offers a broad range of BI and analytical capabilities. The self-service Cognos Analytics platform allows users to build dashboards and reports. With integrated advanced analytics capabilities, automated pattern identification, support for natural language query and generation, and automatic pattern recognition, IBM Watson Analytics offers a user experience that is machine learning-enabled. IBM offers business intelligence software both on-premises and in the cloud.
Looker Using LookML, the company’s modelling language, Looker provides a business intelligence and data analytics platform. The product’s online analytics tool has filtering and drilling capabilities, allowing users to delve down into row-level details. Customers may specify data and manage access thanks to embedded analytics powered by Looker that make use of contemporary databases and an agile modelling layer. Looker’s full RESTful API, together with the ability to schedule reports, may send them through email or webbook.
Microsoft
Microsoft is a significant player in the business intelligence and analytics sector. Power BI, the company’s flagship tool, is cloud-based and runs on Azure Cloud. Utilizing internal data sources, individual or power users may take use of on-prem capabilities by building intricate data mashups. Power BI is distinctive in that it offers customers a single interface from which they can prepare data, analyse data, and create dashboards. The platform has an active user base that contributes to the tool’s development and is compatible with Office 365 and Excel.
Oracle
Oracle provides a range of on-premises and cloud-based business intelligence and analytics tools. Traditional BI functions are included in the company’s Business Intelligence 12c solution. Oracle Data Visualization offers more advanced tools that let users see data automatically, including drag-and-drop options, charts, and graphs. Story points may also be utilised to preserve images from a certain time period for analysis.
Many different business intelligence and analytics functions are available in SAP’s enterprise and business-user editions. There are on-premise (Business Objects Enterprise) and cloud (Business Objects Cloud) installations for the company’s primary BI package on top of the SAP HANA Cloud. SAP also provides conventional BI tools like reporting and dashboards. The Business Objects solution includes the vendor’s data discovery capabilities, while the SAP Lumira toolkit adds features like self-service visualisation.
SAS
On-premises and cloud versions of SAS Visual Analytics are both available. Users of visual analytics can examine data graphically to find important relationships, outliers, and clusters. Thanks to auto charging, users could also have access to enhanced graphics and guided analysis. SAS is renowned for its extensive analytics capabilities, which include model maintenance and data input from many sources. SAS also provides solutions for data management, IoT, personal data protection, and Hadoop.