Data BI Services

Data BI Services

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Data BI services, business intelligence renderings of the data that describes your company, are the precursor to all other analytics.  Without this information there can be no KPIs, no market segmentation, no AI development.  We help you define the source(s) of the information you need and then how best to use that information.

This is not a step to be taken lightly and our data BI services ensure that your data is properly extracted and prepped, that the analysis is relevant to your objectives and, most importantly, that it is actionable by all stakeholders.  We offer end-to-end solutions or ones that involve just part of this process.

We provide data services and analytics solutions with data from different sources,  including flat files and relational databases.  We work as interactively or independently as is required.

A detailed proposal defines the parameters of the project, the desired outcomes and the timeline so that there is consensus before we begin.   Unless the client requests that we do otherwise, our data services are quoted on a flat fee basis:  We believe that this is the most equitable approach for everyone.  The services lists below are by no means exhaustive.

Right now, data and analytics are in a transformative state and trends that change as rapidly as do the technologies that support them.  Our services are designed to accommodate these changes as they occur.

Data BI Services - Data Preparation

Our data preparation services include:

  • Data Aggregation and Modeling
  • Data Cleaning
  • Data Discovery
  • Data Integration
  • Data Profiling
  • Data Quality
  • Primary and Secondary Data Collection

Data BI Services - Data Analysis

  • Data Mining
  • Data Visualization
  • Exploratory Data Analysis
  • Data Modeling
  • Excel Analysis
  • Ad Hoc Query Reporting
  • Complex SQL Queries
  • Business Requirements
  • Use Cases
  • Predictive and Prescriptive Analytics
  • Reporting

Data Analysis Sample

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This beautiful PowerPoint data analysis sample is based on a project that used machine learning as the primary methodology but also used SQL- and Excel-based methodologies.