SERVICESData Processing

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Importance of Data Processing

When huge volumes of undefined data are processed efficiently, it enables organizations to interpret data effectively converting them into valuable information for better data-driven decision making, helping to prepare organized reports, saving cost by eliminating unwanted documentation, and speeding their information management system with better accuracy.

How do we do it?

mCloud adopts a clear framework at every stage of data processing by carefully choosing the relevant tools & technologies coupled with human intelligence to achieve the end goal of converting data into valuable information for better decision making across different business functions. We do this with complete integrity for data protection and compliance.
Data Collection

We work with the stakeholders to understand the business objectives of data processing and collect quality data from reliable sources using quantitative and qualitative data collection methods

Data Enrichment

The collected data undergoes diligent inspection of data preparation and cleansing by eliminating redundant, invalid, duplicate, and incomplete data through multiple data cleansing methods

Data Input

The cleansed data is fed into various systems or data warehouses using different online and offline data entry methods adding value to the raw data

Data Processing

Data Scientists and Business Intelligence (BI) experts process the data fed into the systems using machine learning algorithms and BI tools converting them into readable patterns

Data Interpretation

The processed data is broken down and converted into presentable business information using graphs, charts, images, text, and video files for even a layman to understand

Data storage

Data storage helps companies to retain information in computer systems that can be retrieved while making business decisions like product launches and customer behavior. We adopt high-security standards, compliance, and privacy for data storage.

Our Expertise:

Our data experts are skilled and trained on all the data processing methods and have hands-on experience of using all the data management tools and techniques.

Below are some of the tools that we use:

Data Analytics Tools - R Programming, Tableau, Python, SAS, Apache Spark, Excel, Rapid Miner, Knime, Qlikview, etc

Data Processing Types - Batch processing, Real-time processing, Online processing, multiprocessing, time-sharing

Data Processing Methods - Manual data processing, Electronic data processing, Transaction processing, Distributed processing, Real-time processing, Batch processing, Multiprocessing.