Business intelligence software systems 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 application can control vast amounts of unstructured, unrefined business data to allow firms to recognize, develop, and even generate new business prospects and strategies. Generally observed, business intelligence software comprises three main sets of operations: data discovery, data management, and reporting, and it is expected to contain a large suite of metrics, evaluation tools, and analytical capacities. The app can either be a standalone solution, or can be included in multi-operational project management software.
First, be clear about the reasons why you wish to use a SaaS solution. You should also have a good understanding of your existing infrastructure and business processes. This information will assist you to effortlessly integrate the SaaS program with your existing infrastructure without any problems.
The second consideration is a follow up to the first one. Ask yourself what you want the SaaS service to do for your company. Then, be clear about the features the system should have. For instance, if you want enhanced data collaboration between different business departments you need a system that can be accessed by multiple users. However, if you need a resourceful app that is similar to an on-premise platform, you need to invest in a SaaS product that can be accessed by only a few users at a time.
After you choose a suitable vendor, do not sign an agreement before you take a good look at the Service Level Agreement (SLA). The SLA will clearly describe what the SaaS vendor is offering and the reparation they will pay if they do not deliver the agreed services. Read and understand the SLA thoroughly to recognize what you are getting into and to avoid issues later.
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Main Functionality – rates the software’s ability to meet its main promise or USP.
Customization - Rates the software’s customization tools that allow the business to match the software’s functions to the business’ specific processes and current needs. Tools to watch include: custom reports; custom fields; custom business processes; logo insertions; and color palette choice.
Collaboration Features – rates the software’s functionalities that allow team members to work together, share documents, ideas and best practices. Includes tools such as: communication platforms (IM chat, VoIP, email, social media, phone); real-time features; attachment and association capabilities; and automatic task and contact associations.
Integration – rates the ability of the software to assimilate third-party applications and formats, especially popular productivity tools like Google Apps, Microsoft Office and Outlook and proprietary email apps. Also include connector apps that integrate the software to even more apps and APIs that allow developers to integrate their own apps to the software. May also include integration to older versions of the software.
Mobility – rates if the software has a mobile platform and which mobile OS it supports. Attributes to watch include: apps for iOS, Android, Windows Mobile, BlackBerry; mobile browser version; and specific mobile modules.
Ease-of-use – rates the level of difficulty in learning and using the software. Features to watch include: self-help tutorials; quick lookups; dashboard; drag-and-drop tools; intuitive behavior; search and data retrieval; formats and templates; and steps to perform a task.
Help & Support – rates the level of technical and customer support by vendor. Attributes to measure include: live support (chat); tickets; free and freemium support services; knowledge base support (PDF, recorded webinars, forum); and paid support plans.
Security – rates the software’s security infrastructure including the following features: enable/disable data access; password encryption; data backup; and official seals from reputable organizations that vouch for the software’s security.
Media Rating - averages the ratings by major review sites, such as: CNET, Gartner Vendor, MacWorld and PCMag.
We use our behavior-based Customer Satisfaction Algorithm™ to gather customer reviews, comments and opinions across a wide range of social media sites to help you make an informed buying decision.
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Our algorithm performs a wide-spectrum scan through all the most popular social media as well as blogs and websites to find customer reviews relevant to a specific product.
The behavior-based system collects all reviews that discuss a selected product filtering out comments and posts that do not feature a customer’s opinion about the product.
All gathered customer reviews are processed with a set of filters to extract key data from each review relevant to customer’s satisfaction including: detailed keywords analysis, social response signals and various meta data.
Collected data about users’ experience with the product are thoroughly analyzed using an algorithm that evaluates each processed factor as either positive or negative response from the customer.
After all partial data are analyzed and evaluated the system assigns a single customer satisfaction score to a product. It allows our users an easy and quick access to information on how many clients are satisfied with a product at the moment.