The editors at Solutions Review have compiled this list of data analytics vendors that matter most from the recently published 2020 KMWorld 100 listing.
Knowledge management information provider, publisher and conference organizer KMWorld recently unveiled its 2020 KMWorld 100 Companies That Matter in Knowledge Management. The 2020 KMWorld 100 outlines the top knowledge management solution and services providers and is assembled via input from editors, analysts, experts, and product end-users. Inclusion criteria is based on functionality, creativity, product innovation, and a history of demonstrated success with clients.
At Solutions Review, we track the solution providers that have the biggest impact on the mid-market and enterprise, As such, we’ve perused the complete 2020 KMWorld 100 report, available here, and segmented the vendors and tools that matter most in data analytics.
Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.
The GoodData platform provides creation, delivery, and automated management of analytics at scale that allows organizations to deliver insights to customers, partners and other users. GoodData is designed to support any analytical product roadmap, and enables customers to offer their partners any data source, visualization, interaction pattern or integration they need. The tool offers analytics and expertise to operationalize intelligent decisions within business applications and business processes.
IBM offers an expansive range of BI and analytic capabilities under two distinct product lines. The Cognos Analytics platform is an integrated self-service solution that allows users to access data to create dashboards and reports. IBM Watson Analytics offers a machine learning-enabled user experience that includes automated pattern detection, support for natural language query and generation, and embedded advanced analytics capabilities. IBM’s BI software can be deployed both on-prem or as a hosted solution via the IBM Cloud.
The Lexalytics Intelligence Platform is a modular business intelligence solution for analyzing text documents. the product features API access for technology companies and end-to-end tools for data analyst user personas. Lexalytics lets users collect and manage text documents, analyze them with the Semantria API (wrapped into a RESTful API), and build visualization dashboards and then share them across departments. the platform features natural language processing and machine learning capabilities as well.
Microsoft is a major players in enterprise BI and analytics. The company’s flagship platform, Power BI, is cloud-based and delivered on the Azure Cloud. On-prem capabilities also exist for individual users or when power users are authoring complex data mashups using in-house data sources. Power BI is unique because it enables users to do data preparation, data discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365, and has a very active user community that extends the tool’s capabilities.
Qlik offers a broad spectrum of BI and analytics tools, which is headlined by the company’s flagship offering, Qlik Sense. The solution enables organizations to combine all their data sources into a single view. The Qlik Analytics Platform allows users to develop, extend and embed visual analytics in existing applications and portals. Embedded functionality is done within a common governance and security framework. Users can build and embed Qlik as simple mashups or integrate within applications, information services or IoT platforms.
The Salesforce Einstein Analytics platform is available in a number of flavors based on role, industry and included features. The product’s automated data discovery capabilities enable users to answer questions based on transparent and understandable AI models. Users can also tailor analytics to their use case and enhance insights with precise recommendations and specific guidance. Einstein lets you create advanced experiences using customizable templates, third-party apps, or custom-build dashboards as well.
SAS Visual Analytics is available on-prem or in the cloud. Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analysis through autocharting. SAS has made its name as a result of advanced analytics, as the tool can ingest data from diverse data sources and handle complex models. In addition to BI, SAS offers data management, IoT, personal data protection, and Hadoop tools.
Zoho Analytics is a self-service BI and data analytics tool that lets you incorporate data from a wide range of sources, blend it together, and create cross-functional reports and dashboards. The product features a drag-and-drop designer, as well as different visualization tools to drill down to specifics. A “smart” assistant called Zia can answer questions in the form of reports and KPI widgets via AI, machine learning and natural language processing. Users can share and publish reports and smart data alerts ping you when outliers or anomalies happen.