A review of how B.I. startups are finding value in existing enterprise data.
Consultants, marketers and information professionals are always looking for powerful tools to help them extract the most valuable data. Since the right piece of information can lead to the right business decision, resources that can provide enhanced search breadth and outputs can be highly valued. Within the last several years, numerous business intelligence start-ups have come on the scene, providing technology that can make BI research quicker and easier. These firms are enabling access to data that may have been previously siloed and unattainable.
Examples of the Business Intelligence Start-ups Landscape
One common problematic issue within business information seeking is the vast amounts of untapped data in one’s own enterprise. A few upstarts have focused on this need, providing solutions that can glean data from all portals and niches within a company. Additional interesting technologies like natural language processing and machine learning are also being used in some of the latest business intelligence tools. These features help to find the semantic meaning from queries, use algorithms to find the correct data and often visualize actionable information. Below, are some key start-ups within the business intelligence field that offering new technologies to enhance the search and analytics aspects of the typical business intelligence query.
Looker provides a service whereby individuals can access the collective intelligence from their own enterprises. The goal for this service is for cross-departmental data to be shareable. Even an employee chatting on an in-house Slack platform could be able to obtain real-time, needed data through the Looker technology.
Similar to Looker, AtScale uses Hadoop software in order for enterprise data to be accessible to the end user. The framework of this firm’s service is that it operates within a self-service model of business intelligence access. The tool actually works with existing BI tools and uses a technology to gather existing enterprise data. AtScale provides an interface layer that allows visualization of the vast places where enterprise data resides.
Named as a “Cool Vendor in Analytics” by Gartner, Anodot offers a technology that uses machine learning to filter and examine a company’s data in order to extract meaningful information. The technology has an anomaly detection process that visualizes and alerts clients of potentially actionable events to investigate. Assorted industries are profiled on Anodot’s website as being potential users of this service, such as ad tech, fintech and Internet-of-things companies.
The UK start-up, Peak, aims to provide a subscription-based BI platform for a multitude of industries. Their cloud-based tool allows clients to examine data analytics on an as-needed basis. The offering is called analytics-as-a-service. The service works by algorithmically mapping a data model of a client’s data and then providing a visualization interface to fully access the information value.
One upstart business intelligence firm that is in beta stage, Astute.io, actually aims to serve the start-up industry, itself. This service offers natural language processing of questions in order to point to the right data. This artificial intelligence offering can field such question as, “What is the customer acquisition cost of…,” and the tool will seek answers based on available data.
Finding value in existing enterprise data is a common, universal interest within the business world. The current set of business intelligence start-ups that are aiming to fill this need offer a broad array of solutions. Vendors that bring increasingly intuitive interfaces and enhanced visualization of key intelligence topics are likely to be welcome by most business information seekers.
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