[vc_row][vc_column][vc_single_image image=”749″ img_size=”full” alignment=”center”][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][vc_text_separator title=”Data Collection”][vc_column_text]Locating and importing Data into BI Analysis System from Everywhere such as Database, Excel, Web, Facebook, Email or Cloud Application. You can analytic from the whole platform in one system. If you don’t have data no problem , We can bring you software or develop data collection application for you from anywhere[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_text_separator title=”Data Modeling”][vc_column_text]Shaping and Cleaning Data to create Valuable Data to fit and fast for your organization.[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_text_separator title=”Data Analysis”][vc_column_text]Performing calculations on the data to extract patterns. and see your business insight in your organization.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][vc_text_separator title=”Data Visulization”][vc_column_text]Creating interactive rich visualizations for Data consumers to utilize in any platform.Share Data to the Cloud and allow Data consumers to act on the insights.[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_text_separator title=”Data Automation”][vc_column_text]Automate all data preocessing  from manual to systematic process. Eliminate many hours for your organization and Improve Productivity[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_text_separator title=”Data Support”][vc_column_text]Continued support to help train internal staff to maintain BI subsystems.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_single_image image=”741″ img_size=”full” alignment=”center”][/vc_column][/vc_row][vc_row][vc_column][vc_gallery type=”flexslider_slide” interval=”5″ images=”747,746,745,744,755,756,757,758″ img_size=”full” title=”Sample”][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][vc_column_text]

Multilevel Segmentation

Segment clients, branches, regions and other organization levels based on transaction data – this helps to understand customer behaviour and allows capturing the right segment for right action.

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Cross-sell / Up-sell Models

Analyse client data, such as order history, promotions and location details, for example to predict which products the clients have propensity to purchase or to find mechanisms to extend life cycle of the products.

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Product Recommendations

Assess purchasing patterns based on recent transactions and customer details to recommend products that customers have potential to buy. Address cold-start problem of new products.

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Inventory Management

By balancing between demand and cost in the inventory, the total benefit can be optimized.

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Time-series Forecasting

To provide time-series forecasting, e.g. demand, by identifying trend, seasons and cycles and combining with external data such as competitor status and economic outlook.

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