Data Visualization Consulting Services

Data visualization services - ScienceSoft

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.

Make Your Data Provide Answers

ScienceSoft provides data visualization advisory, implementation, and support services to help you transform large and complex datasets into appealing visuals to answer your specific business questions and make data-driven decisions promptly and efficiently.

Why ScienceSoft

  • 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.

Data Visualization Use Cases We Cover

ScienceSoft’s team can help you turn data from diverse sources into immersive visuals, which enables monitoring goals and results, identifying opportunities, predicting demand, and more. These are some of the use cases we cover:

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.

Eyewitness Data Visualization with Our BI Demo

Discover how you can turn data into meaningful stories to find answers to diverse business questions with our data visualization services.

Data Visualization Techniques We Use

Symbol map

Symbol map

Line chart

Line chart

Bar chart

Bar chart

Pie chart

Pie chart

Heat map

Heat map

Funnel chart

Funnel chart

Connectivity chart

Connectivity chart

Scatterplot

Scatterplot

Sparkline

Sparkline

Matrix

Matrix

Pivot table

Pivot table, etc.

Highlights of Our Data Visualization Portfolio

Financial Analysis for a US-based International Real-Estate Developer

  • A data warehouse and a 15-dimension analytical cube to integrate and analyze data from 40 data sources.
  • Customizable reports and dashboards to monitor such indicators as:
    • Income
    • Operating expenses
    • Net profit
    • Cash flow
    • Current assets and liabilities, etc.

BI Solution for a Management Consultancy

  • A data warehouse and an OLAP cube with 40+ dimensions.
  • Self-service reports with drill-down and drill-through capabilities to monitor:
    • Gross profit
    • Revenue
    • Net income
    • NTA
    • NWC, etc.

BI Solution for a Medical Provider of Mobile Diagnostic Imaging Services

  • A data warehouse and an analytics solution.
  • Comprehensive data visualization and reporting compliant with the healthcare industry regulations to monitor:
    • Medical equipment utilization
    • Clinical outcomes
    • Financial data

BI solution for a Leading US Health Information Exchange (HIE) Vendor

  • A data warehouse and an analytics solution for medical data analysis and healthcare risk management.
  • Role-based reports and dashboards to keep track of:
    • Patient health problems classified by demographics, communities, type and time range.
    • Medical conditions and medications used.
    • Patients with repetitive health problems.

Data Analytics Platform for a Telecom Company

  • A data warehouse and analytics platform to aggregate data from 10+ sources for historical analytics and forecasting.
  • Regular and ad-hoc reporting to:
    • Measure user engagement and preferences.
    • Spot trends in users’ behavior.
    • Make predictions about user behavior, etc.

Data Analytics Solution to Manage Product Life Cycle

  • A multi-level data warehouse to integrate up to 20 source databases.
  • Visualizing product data with 20 highly customizable reports to:
    • Monitor a complete product life cycle.
    • Manage relationships with suppliers.
    • Optimize the tendering process, etc.

Data Visualization Services We Offer

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,
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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.
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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.).
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How We Arrange Our Data Visualization Services

1. Service request analysis

Details
  • Data visualization needs elicitation and analysis.
  • Collection, documentation, and prioritization of the requirements for future reports & dashboards, an optimized data visualization solution, or a new or upgraded data analytics solution.

2. Service planning

Details
  • Data visualization time and budget estimations.
  • Data visualization cost-benefit analysis, ROI estimation.
  • Data visualization project roadmapping.
  • Risk management strategy definition for a data visualization project.

3. Service delivery

Details

Based on the chosen service option, our team delivers:

  • Data analytics and data visualization solution design, tech stack selection.
  • Optimal dashboards layouts and convenient data representation options for different user roles.
  • Data platform components (a data lake, ETL processes for each data source, a data warehouse, OLAP cubes, ML models, reports and dashboards, etc.).
  • Data quality management.
  • Data security.
  • Data platform or data visualization performance tuning and evolution (adding new data sources, configuring additional reports, etc.).

4. Knowledge transfer

Details
  • Knowledge transfer to your internal team/outsourced support team.
  • Training sessions targeted at each user group with a detailed explanation of the delivered reports and dashboards, components and functions of the data visualization solution or the data platform.

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

Power BI

Practice

7 years

ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.

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Front-end programming languages

Languages

JavaScript

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.

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JavaScript frameworks

Angular JS

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.

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React JS

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.

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MeteorJS

ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.

Vue.js

By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.

Next.js

With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.

Ember.js

When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.

DWH services and databases

Microsoft SQL Server

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.

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Oracle

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.

PostgreSQL

ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.

Data storage

Azure Cosmos DB

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.

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Amazon DynamoDB

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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MongoDB

ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

Big data

Apache Hadoop

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.

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Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Apache Kafka

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.

Apache Hive

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.

Apache ZooKeeper

We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.

Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

Azure Cosmos DB

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.

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Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

Find out more
MongoDB

ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

Google Cloud Datastore

We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).

Establish Data Visualization That Works!

ScienceSoft is ready to help you visualize data and capture real value from it to improve your decision making.

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