Aretec for Private Sector
We are data imagineers®, working tirelessly to transform complex data into
actionable insights that can propel every mission forward.
The Challenge
Data Integrity
One of the main challenges with big data is ensuring data integrity. Private sector clients often struggle with fragmented data that is inconsistent, incompatible, or of low quality. Once the data is extracted from various sources, organizing and normalizing different data structures can be daunting for most organizations. This can result in data analytics that are meaningless or unreliable.
Data Standardization
Private sector clients often have to deal with unstructured and inconsistent data, which makes it difficult to analyze and derive actionable insights. By standardizing the data, clients can have a uniform format for analysis, enabling them to conduct more thorough and widespread oversight of their business operations.
Timely Availability of Datasets
Another challenge faced by private sector clients is the timely availability of sophisticated datasets. Delays in accessing relevant and up-to-date data can hinder data analysis and decision-making processes. So that the data can be effectively analyzed, it needs to be assimilated, interpreted, curated, and stored in a uniform format. Additionally, as the data ages or new reports are generated, it is crucial to prune and delete outdated or superseded data items.
The Solution
Solution
Aretec addresses the data integrity challenge by providing unique tools and solutions to clean, standardize, and validate the data. We break down the data transformation process into steps and aggregate the data into logical groupings, ensuring its integrity and reliability for meaningful analysis.
Solution
Aretec can help in standardizing your data sets by developing custom algorithms that extract and transform the data, splitting it by type, and sending it to the appropriate target data sources. First, data is extracted from various sources, including annual reports from regulated entities and individual financial transaction reports. The data is then assimilated, interpreted, curated, and stored in a uniform format to ensure it is available for analysis.
Solution
To overcome the challenge of making quality data available timely, Aretec helps organizations seek ways to streamline the process of generating synthetic data and ensure its seamless integration into their existing systems. This may involve leveraging advanced technologies such as artificial intelligence and machine learning to automate data generation processes.
Strategic Partnerships
See how our Public Sector Partners utilize the Aretec Platform to activate the full potential of Federal and Government solutions
Related Resources
Data Sheet
Using Data Science to Take the Profit Out of the Crime
Aretec employs proven software
development quality management
processes to develop production-ready
data science solutions
Press Release
Using Data Science to Take the Profit Out of the Crime
Aretec employs proven software
development quality management
processes to develop production-ready
data science solutions
Blog
Using Data Science to Take the Profit Out of the Crime
Aretec employs proven software
development quality management
processes to develop production-ready
data science solutions
PRODUCT SPOTLIGHT
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