Data EngineeringAmplifying your business value with Data
Though data has become indispensable in today’s technological and business realm, businesses are struggling to keep pace with the enormous amount of data collected, from customer analysis to traffic monitoring, both qualitative and quantitative data. This has generated the demand for data engineering services that can collect, sort, store, and analyze this data cost-effectively while adding business value to it.
At Cygnet DES, we prioritize your business goals and provide data engineering consulting services that drive data and technology implementation in a smart and well-strategized manner. Our team of qualified and experienced data engineering consultants help build high-performance infrastructure and optimize your data architecture to help you make better decisions and transform your business.
In addition to data engineering consulting, we build robust databases and future-proof systems that scale with your business and migrate data with serverless pipelines for real-time data analysis.
At Cygnet DES we have successfully architected and implemented e-invoicing application that processes 5K invoices per second.
Our applications process 27+ million transactions every month and 0.5+ million invoices in peak time.
We prioritize your business goals and drive data and technology implementation while maintaining the utmost integrity and consistency by masking data at a granular level by desensitizing confidential data.
Our solutions automate incremental data collection, operationalize data pipelines, develop future-proof systems for quick data processing, and drive improved business insights and actions.
Data engineering subordinates all the data-related capabilities required for a business; enables the power of data efficiency by automating complex frameworks to simplified models securely and transparently.
Data management is the process of ingesting, warehousing, organizing and maintaining the data curated and composed by a business. Cygnet DES’s data engineering services provide insights into the individual disciplines, including the best practices for managing data, challenges that businesses face and the business benefits of a successful data management strategy.
Analytics is a multidisciplinary field used to formulate larger business decisions with systematic computational analysis of the data or statistics. At Cygnet DES, we leverage advanced technologies and upgraded trends to enhance your business approach.
Time series analysis helps organizations understand the underlying causes of trends or systemic patterns over time. Our data engineering consulting uses data visualizations to reveal seasonal trends to business users and dig deeper into why these trends occur. These include autocorrelation, seasonality, and stationarity.
At Cygnet DES, we utilize statistical techniques to summarize and generate comprehensible insights from uninterrupted data sets.
Our data engineering experts determine the causes and correlation between various trends and variables.
Our data engineering consulting services encompass a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. We use different models, such as the customer value-centric model, segmentation model, predictive maintenance model, and the quality assurance model to perform it.
We use data to determine an optimal path for a business. By considering all relevant aspects, this type of analysis produces recommendations for the next steps.
We use a set of machine learning algorithms that Microsoft has developed to solve problems in the field of Artificial Intelligence (AI) using Azure cognitive services APIs for vision, speech, language, knowledge, and search.
In many organizations, streaming data from manufacturing machines, industrial equipment, pipelines and other remote devices connected to the IoT creates a massive glut of operational data, which can be difficult and expensive to manage. Our edge analytics services deliver several compelling benefits like monitoring time, scalability, failure predictions, and low maintenance costs.
Enforcing the right data strategy spurs innovation and prominent business outcomes by acknowledging data as a pivotal asset that furnishes foresight for superior decision-making. Cygnet DES takes a foundational steps, through data access search, data sharing, and report generation, so that your business evolves into a data-driven organization that relies on trusted, readily available, and easily accessible data for users within the organization.
Business intelligence services at Cygnet DES comprise data and business analytics, where, we help customers transform their operations to streamline the data securely. This includes:
Enterprises ingest every single data from various sources such as IoT devices, Secure File Transfer Protocol (SFTP), cloud storage locations, etc., but do no process it further. Cygnet DES ingests the data from various sources to its own server portals maintaining utmost security of the data in real-time.
Data warehouses help businesses analyze large amounts of data. At Cygnet DES, we help our clients secure their enormous amount of data derived from a wide range of sources like data lake, ETL design and development, and database centralization.
Data modeling is a very important aspect of database design as it describes the structure and characteristics and how to access information. Cygnet DES designs a blueprint of a comprehensive database to assemble the business requirements.
For any business, data visualization is crucial as it involves collecting, representing, and analyzing information in a universal manner using visual information to make it easier for human minds to understand the large chunks of complex data sets. Cygnet DES processes the data and related information using tools like Power BI and Tableau, and validates the data using statistical summary and substantial analysis.
We ensure a comprehensive view of the business performance metrics generated in the extensive data systems through real-time reporting that involves collecting up-to-the-minute data and relaying it back to users as it occurs. Information is presented in the most current form so that one can quickly make decisions when they’re under heavy time constraints.