Data Mining Process at BackOffice Pro

data mining process

BackOffice Pro (BOP) provides data mining services to a wide range of clients who require data or information for various purposes that may include a business expansion, marketing, or business diversification. Based on the requirements of the clients, the data mining team at BackOffice Pro collects data or information that is relevant to the client.

We follow the Cross-Industry Standard Process for Data Mining (CRISP-DM) and SEMMA for data mining.

Cross-Industry Standard Process for Data Mining (CRISP-DM)


The CRISP-DM has six steps as below:

  1. Business Understanding – In this phase, our team determines the business objectives, assesses the current situation, establishes data mining goals, and develops a project plan.
  2. Data Understanding – Once the business objectives and data mining goals are established, our team collects data from the Internet. They send out crawlers into the worldwide web, which collect large volumes of data. This data, however, is unorganized and needs to be sorted to get meaningful information.
  3. Data Preparation – After identifying the data that is required by the client, our team selects the relevant information. It transforms them into the desired format that can be used for data modeling.
  4. Modeling – In this phase, our team selects the modeling techniques to be applied to the prepared data set, which will help them to convert raw data into meaningful information. After choosing a technique, a test scenario is generated to validate the quality and validity of the model.
  5. Evaluation – In this phase, our team thoroughly evaluates the model results in the context of the business objectives of the client. They share the results with the clients to determine whether the client's requirements are met.
  6. Deployment – In this phase, our team organizes and presents the data mining results to the client. If the client needs a more detailed analysis of the data, the project is passed on to our Research and Analysis team.

At BackOffice Pro, we use secondary sources to find accurate and reliable information for their clients. They take the time to understand the client’s requirements. Based on the specifications provided by the client, they find information or data that is most useful to the client. Here are some of the ways in which our data mining team finds contact information of companies and management professionals requested by the client:

SEEMA (Sample, Explore, Modify, Model, Assess)


We also use the SEEMA (Sample, Explore, Modify, Model, Assess) model of data mining based on the client’s requirements. It makes the application of exploratory statistical and visualization techniques, the selection and transformation of the predicted variables, the selection of a model and iterations easy and accurate.

  1. Sample: At this stage, we extract the large dataset and take a sample to represent the entire data to reduce the processing time.
  2. Explore: We explore the data for any anomalies and outliers and visually check to figure out the trends.
  3. Modify: In this step, we segregate the data into groups and subgroups.
  4. Model: Depending on the groups and modifications, we create the model explaining the data patterns.
  5. Assess: The model is then assessed for reliability and usefulness through testing.

Once we successfully build the model using the CRISP or the SEMMA approach, we share it with the client and deploy it in their business processes.

Benefits of Data Mining Process at BackOffice Pro

At BackOffice Pro, we handle complex business problems and simplify it. Our data mining process helps our clients with the benefits below:

Apart from extracting information related to contact details of companies and management professionals, the data mining team at BackOffice Pro also provides online services related to business intelligence data mining, retail data mining, medical/healthcare data mining, open-source data mining, SQL data mining, and image data mining. We also provide offline data mining services that include excel data mining, word data mining, visual data mining, PDF data mining, social media data mining, medical/healthcare data mining, open-source data mining, SQL data mining, and image data mining.

Our team works tirelessly to provide superior quality service to our clients within a short period of time. They ensure that the data provided by them meets the client’s requirements. They take strict measures to ensure that the data is accurate, reliable, and free of duplicity.

If you are planning to outsource your data mining requirements, BackOffice Pro is here to assist you in achieving your business goals. Contact us today to know how you can engage our data mining experts for your process, based on your exact business needs.

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