Data Visualization Consulting Services
Data visualization consulting helps reveal critical data to business users via intuitive visuals. ScienceSoft’s consultants enable data visualization for customers to spot trends, track business goal achievements, compare the performance of various categories, products, brands, etc.
- Data analytics and data management services since 1989.
- Data warehousing and BI expertise since 2005.
- Big data services since 2013.
- Microsoft Power BI services since 2016.
- Partnerships with Microsoft, Amazon, Oracle, and other tech leaders.
- For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies by the Financial Times.
- ISO 9001 and ISO 27001 certified to assure the quality of the data visualization services and the security of the customers’ data.
- Expertise in 30+ industries, including manufacturing, retail and wholesale, professional services, healthcare, financial services, transportation and logistics, telecommunications, energy, and others.
Corporate performance
- Benchmarking financial performance data for revenue optimization strategies.
- Department and employee performance monitoring and analysis.
- Customer and product analytics.
- Procurement analytics, supplier screening and monitoring.
Financials
- Tracking a company’s revenue, expenses, and profitability to improve financial forecasting and budget planning.
- Identifying and managing financial risks.
- Financial data monitoring.
Manufacturing
- Monitoring equipment performance to optimize overall equipment effectiveness and manufacturing process quality.
- Uncovering defects in manufacturing processes to speed up product development and improve product quality
Supply chain
- Identifying demand drivers to improve demand planning accuracy and optimize order management.
- Monitoring procurement data and conducting spend analysis to identify rationalization opportunities.
- Spotting trends and patterns throughout the delivery process to identify and predict risks and optimize the logistics.
Marketing and sales
- Predicting a prospect’s response to marketing activities for improved planning and optimized budgeting of marketing campaigns.
- Customer segmentation to design personalized marketing campaigns, cross-selling and upselling strategies.
- Customer sentiment analysis to increase product/service quality.
- Customer profitability analysis to optimize the sales funnel.
HR
- Keeping track of employees’ activities to determine the performance gaps and devise measures to enhance staff performance.
- Visualizing data for talent management (applicant data, current recruitment needs, best performers, etc.) to make informed decisions within the recruitment process.
- Analyzing retention activities on the employee productivity to identify the employee satisfaction drivers and reduce employee turnover.
Assets
- Asset tracking and monitoring to optimize asset risks and maintenance management.
- Predictive maintenance to enhance the value of critical assets and optimize asset life cycle management.
Data Visualization Techniques We Use
Symbol map |
Line chart |
Bar chart |
Pie chart |
Heat map |
Funnel chart |
Connectivity chart |
Scatterplot |
Sparkline |
Matrix |
Pivot table, etc. |
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Reports and dashboards development
We create tailored reports and dashboards for a diverse range of users:
- Strategic dashboards for C-suite managers to monitor KPIs across the company.
- Tactical dashboards for mid-level management.
- Operational dashboards for managers to monitor business processes, identify bottlenecks, etc.
- Analytics dashboards for data experts to identify trends, build forecasts,
Data analytics and BI platform development
To help you aggregate, analyze, and visualize your data, we:
- Set up ETL/ELT processes to integrate data from diverse sources.
- Create a centralized repository, OLAP cubes, etc.
- Implement data security and data quality management.
- Set up data reporting and visualization.
Data visualization optimization
We upgrade your data visualization solution by optimizing it at different architectural layers:
- Data source(s).
- Data model.
- Visualizations (dashboards, reports, paginated reports, etc.).
- Environment (data gateways, access controls, network, etc.).
How We Arrange Our Data Visualization Services
Pricing Options for Data Visualization Services
Fixed price
Best for:
- Small data visualization projects with clear and stable requirements.
- Data platform feasibility study and PoC.
You pay the price established by a contract.
Time & Material, Time & Material with a cap
Best for:
- Data visualization projects with unclear scope.
- Data visualization optimization.
- Advisory data visualization activities (business analysis, data analytics platform solution architecture design, etc.),
You receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).
Data Visualization Challenges We Solve
Not insightful reports and unanswered ‘Why?’
We make data visualization an indispensable part of the reporting process and enable decision-makers with the drill-down and filtering options to answer their business questions quickly.
Overloaded reports and dashboards
We design reports and dashboards ensuring that trends or outliers are recognized immediately, colors are relevant and chart types are consistent.
Disregarded user roles
We tailor reports and dashboards so that every user can focus on relevant data.
Limited reporting flexibility
We enable visualization of analytics insights on all devices – PC, mobile, large screens. We can also add BI capabilities to your existing solutions.
Technologies We Master
Data visualization
Practice
7 years
ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.
Front-end programming languages
Languages
Practice
21 years
Projects
2,200+
Workforce
50+
ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.
JavaScript frameworks
Practice
13 years
Workforce
100+
ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.
Workforce
80+
ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
DWH services and databases
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.
Data storage
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Big data
By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.
A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.
We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
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