In data analytics and data science since 1989, ScienceSoft assists companies in healthcare, financial services, manufacturing, retail & ecommerce, telecoms, and 25 other industries in building secure and compliant data solutions for internal and commercial use.
We can implement your solution from scratch, improve an existing system, help design a robust and compliant data governance framework, or provide continuous data management services.
We consolidate your multi-source data and implement easy-to-navigate dashboards that serve accurate analytics insights and feature clear visuals.
You get your enterprise-wide data centralized in a single point of truth that is optimized for BI & reporting, scientific research, ML/AI model training, and more.
We build software for business operation automation, customer experience personalization, fraud detection, remote asset monitoring, and more.
We build large-scale analytics solutions, systems for production and business operation automation, and low-latency customer apps that support tens of thousands of users.
Having practical experience in 30+ industries, we give special attention to the domains listed below.
ScienceSoft’s mission is to reach project goals regardless of time and budget constraints. In each step of collaboration, we follow our mature project management practices developed and refined by our in-house PMO. Our mission is supported by ethical conduct — the basis of doing business with all our clients, partners, and employees.
Project scoping
During project scoping, we conduct in-depth interviews with your stakeholders to identify data-related business challenges such as data silos, slow reporting speed, or lack of automation. We then translate these challenges into clear and complete software requirements, prioritize them for implementation, and break the work down into small steps that are easier to track and budget for.
Cost estimation
To ensure the accuracy and transparency of our cost estimates and avoid delivery delays, we account for investments related to software requirements, the necessary tech stack and talents, and operational expenses. We also look for ways to optimize project costs without compromising quality.
Resource allocation
We have proven processes for allocating resources and a pool of internal experts, including business analysts, data engineers, solution architects, compliance experts, project managers, UX/UI designers, and other specialists. It takes us an average of three days to put together a team that covers all project needs.
Collaboration and knowledge sharing
To foster an environment of open dialog and accountability, we set up tailored collaboration forms and ensure transparent project progress reporting. We also follow our best practices for software documentation and knowledge management to make sure our clients retain all the necessary information after the project ends.
UX/UI design
We customize the UI of reports and dashboards to meet the specific needs of various business roles, such as executives, managers, and specialists. Our goal is to provide professionals at every organizational level with straightforward access to data, minimize manual efforts, and facilitate high user adoption through a convenient UX and clear, easy-to-interpret visuals.
Risk management
We develop proactive risk mitigation strategies and contingency plans for comprehensive coverage of various risk factors, including insufficient data accuracy, sensitive data exposure, system scalability and performance issues, possible change requests, and more.
88 results for:
Data Analytics System Enabling Cross Analysis of 30,000 Attributes and 100x Faster Reporting
Big Data Solution for a 360-Degree Customer View and Optimized Stock Management
BI Solution to Control Financial Data Flows and Speed up Reporting by 90%
Data Management Platform to Securely Consolidate Data across 15 Subsidiaries of a Biotech Company
ML Algorithms to Identify Dental Fraud with 95% Accuracy
Complex Semantic Search Engine to Drive High R&D ROI
Big Data Pet-Tracking App Handling 30,000+ Events per Second
Big Data Consulting and Team Augmentation to Assist a Jewelry Company in Enterprise Data Warehouse Development
We would recommend hiring ScienceSoft to anyone looking for a highly productive and solution-driven team.
bioAffinity Technologies hired ScienceSoft to help in the development of its automated data analysis software for detection of lung cancer using flow cytometry. Our project required a large amount of industry-specific methodology and algorithms to be implemented into our new software connected to EHR/LIS systems, which ScienceSoft’s team handled well due to a profound understanding of laboratory software specifics and integrations.
ScienceSoft’s team members proved to be extremely flexible and responsive.
We first contacted ScienceSoft to get expert advice on the creation of the centralized analytical solution. After we got a clear project roadmap, we commissioned ScienceSoft to develop a part of the solution, covering invoicing. The system automates data integration from different sources and provides visibility into the invoicing process. We have already engaged ScienceSoft in supporting the solution and would definitely consider ScienceSoft as an IT vendor in the future.
Special thanks for supporting us during the transition period. Whenever a question arose, we got it answered almost instantly.
We needed a proficient big data consultancy to deploy a Hadoop lab for us and to support us on the way to its successful and fast adoption. ScienceSoft's team proved their mastery in a vast range of big data technologies we required: Hadoop Distributed File System, Hadoop MapReduce, Apache Hive, Apache Ambari, Apache Oozie, Apache Spark, Apache ZooKeeper are just a couple of names. ScienceSoft's team also showed themselves great consultants.
We make our ISO 9001-certified quality management system an integral part of every project and continuously improve our established processes.
Our ISO 27001-certified data protection practices include intellectual property protection (e.g., signing an NDA), the creation of a secure project environment, and strict data access management.
We have data experts with dedicated specializations, including BI, big data, ML/AI, edge computing, and data science. Our data science professionals and solution architects have 9–27 years of experience.
With 60+ project managers holding PSM I, PMP, and other relevant certifications, we are ready to carry out large-scale and distributed projects.
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