BI - Qbis : IT Consultancy & Business Solutions Pvt. Ltd.

There comes a time when a technology changes and disrupts the prevailing accommodative calm. In Business Intelligence, it has been accepted that with expanding usage, in terms of the number of users or the increased application of Business Intelligence, the need for additional hardware will be high. Along with the cost of more licenses, the hardware needs to expand also, so the increase in cost is multifold.
Managed Memory Computing allows administrators to quickly and easily allocate hardware memory, based on criticality of data analytics and hardware availability, so you can avoid the cost of additional hardware and satisfy data and information processing needs for users across the organisation.

Conventionally, monitoring analytics has been passed off as an effective Business Intelligence Solution. It is also called Visual Analytics, which is performed by drilling up and down data while filtering it. This process is particularly limited. Imagine that you want to find out why a particular branch is not performing. Expense, sales, salaries, customer analytics, profitability, and their combination will be needed for answers, but this is an impossible task in a preconfigured dashboard that provides you with just filtering, drill down and drill up, and similar operations.
our BI has the flexibility to let you dive into your data and ask difficult questions and solve complex problems. BI offers ad hoc analysis with a large range of data operations that allows you to explore and discover value from your data. Deep Dive analysis makes a visible impact for decision-making, which is a far more critical need for any manager.

Smart Visualisation tools allow users to gather various data components and tell a story that will clarify a problem, identify an opportunity or help to make a decision. In order to build and tell that story, the business user must be able to interact with their analytics software and build the story through guided visualization and recommended data presentation to best illustrate the underlying data and issues. Business users can quickly, and efficiently produce best possible visualization of underlying data based on data type, volume, dimensions, patterns and nature of data.
Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive and is not ‘Smart’ enough. In the traditional scenario, visual representations are not useful in helping users to analyze and understand data or choose the right method to display and report that data for decision-making. Smart Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training.

Rich, functional Smart Data Visualisation incorporates cutting-edge technology on the backend, and an understanding of the user experience on the front end, so users get a helping hand with suggestions and recommendations on how to view certain types of data and can personalize data displays to create meaningful views and collaboration. Smart Visualization takes the handcuffs off users and eliminates the need for the enterprise to anticipate exactly what each user needs.

Smart Data Visualization allows your business users to analyze, share and present information without waiting for technical or data visualization expert assistance. Give business users the tools they need to cut through that mountain of data and find the nuggets of information that will make a real difference in business results.

Nothing is better than 'self-serve'. You get what you want, when you want it. You can control the data elements, the volume and the timing. Self-Service Business Intelligence tools provide easy to use tools so that business users can prepare their data on their own without the assistance of IT staff.
Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, IT enabled (rather than IT controlled), self-serve data preparation and business intelligence puts meaningful views of data in the hands of business users. It enables the average business user to access and use sophisticated, easy-to-use tools to compile and prepare data and use that data in their analytics to test hypotheses, perform visualization and create and share reports, and create custom alerts and other information.

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Our BI plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.

Interactive Analysis:-It is about putting analytics to use for interactive analysis in meetings in board-rooms, in the sales room, or with a channel partner
Performance to Support Current and Future Data and User Volume : 'Design Once, Use Anywhere' UI engine ensures that the organization can save time and money and roll out mobile BI to satisfy current and future mobile BI needs without additional licensing or development costs.
Power of Speed : Aggregated data in memory for amazing performance
Power of Choice: Choose which data should be used in memory, based on priority and application of BI analytics
Power of Managing memory allocation: Optimize memory with application and priority of BI analytics, rather than number of users
Data Driven Presentations & Meetings: For planning, budgeting, delegation, monitoring, analysis with your team. Ask the question when it matters!

Conquer Time and Manage Opportunities, Issues, Trends, and Patterns! Choose the option that is best for your use case scenario. Real-time cube management to deliver real time analytics when real-time data is critical, and Cached cube management for high performance analytics on pre-aggregated data.

Business Intelligence