Analytics – Uncover Trends In Business Performance
    Your information is the only thing your competitors can't replicate, and hidden in that information are insights that can help you widen the competitive gap. Staying competitive requires faster and better-informed decisions.
    Operational reports provide necessary information but often generate additional questions. Reports can tell you what is happening, but it's the analysis that provides the fuller story about when it happened, where it happened, and potentially why it happened.
    When users are ready to further investigate, Analyzer's™ rich analytics helps users explore deeper into the data to find hidden insights. Analyzer leverages SQL Server's® OLAP technology which allows users to easily analyze data from any perspective. Users can quickly locate problems and drill-down to look for root causes.
    OLAP technology allows analysis to be free-flowing, letting users follow their thoughts, without risking query errors. OLAP technology structures the data so that any possible question and possible combination of the data is always answered based on the same original data set, and the technology automatically generates the queries, reducing any potential for introduced errors. Analyzer allows even non-technical users to perform analysis from the simple to very complex with the confidence of knowing that their results are based on sound data.
Interactive Visualization
    Analyzer's interactive charts deliver valuable analytical insights, illustrating not just the degree of change from one point in time to the next, but also the shape, velocity and direction of change. By putting data in motion, users can spot trends and see details they might otherwise miss.
    These visual analytics help users interpret data and discover both expected and unexpected results. With dozens of different charts and graphs, there are a number of ways to visually display the information. Users can choose to display data in standard bar, line, and pie charts or more advanced charts such as candlestick, funnel, scatter, or bubble charts. Analyzer’s unique heat map function helps users quickly locate problem areas by both size and impact.
    Once charts are displayed, Analyzer offers further customization to help users interpret the data. In 3-D bar and column charts, smaller data values can sometimes be hidden behind larger values. Analyzer provides the ability to add transparency to the bars, allowing smaller bars to show through. Users can also rotate the charts both up and down and side to side. Plus, Analyzer lets you choose between a two-dimensional display and a three-dimensional display, allowing each chart or graph to be optimally expressed.
    Users can further customize the charts through access to the axes settings. Adjustments can be made to the scale of the X and Y axes, as well as the spacing, style, and title. This allows the chart to portray the information in a way that makes the most sense for the viewer.
Explore and Discover
    Every Analyzer chart is dynamic and interactive, which enables users to make changes at the speed of thought. As new ideas and questions come up, users can drill down or filter the data and instantly see the results.
    Sometimes the trends are not immediately obvious. Analyzer has a number of pre-defined measures to help highlight and locate trends. Calculations such as ranking, percentage, time series, rolling summaries and growth rates help users identify directions in the data, and grouping functions like top/bottom performers and 80/20 rule help identify standouts in the data.
    Companies often have unique ways they need to look at information. Analyzer provides the flexibility to create custom measures and even custom MDX coding within the report. If this customization is needed for more than one report, Analyzer can leverage any custom measures or MDX that is defined in SQL Server.
    Product managers and department leaders often manage a subset of the company’s products. Analyzer allows users to define named sets, such as product subsets, and reuse them in a report. Named sets that are used frequently are usually defined in SQL Server, where they can be shared across multiple Analyzer reports and dashboards.
    Data dimensions, such as customer and product, often have member properties that are defined in SQL Server. For example, a member property of customer might be their zip code. In addition to the usual dimension reporting such as 'customer' or 'product', users are able to report on and analyze member properties using these dimensions. This gives the user even greater analytical power as they can explore each dimension more fully and gain even more insight.
    Analyzer's drill down and drill up functions let users explore the data thoroughly. As they drill down into lower-level details, Analyzer's data source viewer allows users to get at the source data by drilling through the OLAP cube to access the relational tables. If there is a particular area of interest, the user can see the underlying table-based data.
    Coordinate and Organize Results
    As users analyze the data, they find new views, both visual and tabular, that they now want to save and track. As they create these new charts and tables, Analyzer allows them to be added to the same report, providing easy access to important metrics and information in a single location.
    By default, any changes in the pivot-table data are reflected in the charts. However, users can unlock the charts from the table to allow independent tracking and analysis. Charts can also be easily copied or moved to other related reporting pages in the set.
    With charts and tables in hand, users are ready to put them all together for comprehensive corporate performance management.
Powerful built-in time-related functions allow non-technical users to easily compare performance over a variety of time periods, instantly seeing growth rates, percentages, and more – without writing any code at all

Analyzer provides several dozen types of high-quality, compelling 2D and 3D interactive charts, giving you the flexibility to visualize your data in the most effective manner. Examples shown here are Histogram, BoxPlot, Candlestick, and Pareto charts.

Heat Maps are a popular type of visualization that presents a large amount of information in a small amount of screen space. They provide an instant high-level understanding while also allowing visibility into detail, including drilldown.

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At PharmaBI.COM, we realize that organizations need a powerful reporting & analysis solution that is easy to use and easily extended to sales & management. With Analyzer, our SaaS model allows for this flexibility.
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