Business intelligence software apps refer to computer-based systems and tools that are used to translate raw business data into meaningful, and thus more useful, information for business analysis decisions. Such a software system can manage large amounts of unstructured, unprocessed business data to enable companies to identify, grow, and even produce new business opportunities and strategies. Generally observed, business intelligence software contains three basic sets of operations: data discovery, data management, and reporting, and it is expected to contain a huge suite of metrics, evaluation features, and analytical capacities. The software can either be a separate program, or can be included in multi-operational project management software.
Data Analysis and Visualization Automation Software
DataPlay is a cloud based software suite (powered by Margasoft Corp.) which automates data analysis, visualization, and reporting . DataPlay helps researchers to cut 60-90% of their manual work. Read Review
DataDeck is a business intelligence and data analytics and visualization solution that gathers all relevant data and other information into a single dashboard and presents them in stunning visual. Read Review
To select an appropriate SaaS provider you need to consider vital criteria such as privacy and security, support and service, and transparency.
Find out if the provider can be trusted with data security and privacy. Do they have procedures in place to safeguard your sensitive information and data? Find about the security procedures they use. This is an important feature of a SaaS application that cannot be over-emphasized.
It is crucial that the vendor provides reliable support to resolve any concerns quickly. Ask your potential vendors the following queries: Do they provide consulting and training services to assist your staff members to utilize the software effectively? Do they have an online support center that has valuable articles and training resources? What channels of support do they offer? Do they monitor issues till they are resolved? Is customer satisfaction measured?
Does the SaaS vendor conduct their business in a transparent and open manner? You can find out by requesting them for references you can contact. Talk to existing users of the system to know about the quality of service offered. Does the provider make public the algorithms they use in the platform? Ask these queries to find a SaaS vendor whom you can trust with your confidential customer and business data.