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Data Analytics and Visualization Services
Activate your data's potential for actionable insights and endless possibilities in business continuity and growth
Data visualization and analytics services
Integrating real-time insights into your decision-making for better performance and greater resilience
Today, businesses cannot afford to overlook the importance of data analytics and visualization. From domain-focused analysis to proactive risk mitigation, we provide bespoke solutions with the right mix of talent and technologies for every form of data visualization and analytics. Our solutions are designed to empower your business core with data’s value and help you achieve your business priorities.
Leverage our services to enhance your decision intelligence and drive transformation across different business verticals. Visualize your success with us.
Our Data Visualization and Analytics Services
Embed data-driven workflows into your business ecosystem for confident decision-making
Data is the lifeblood of today’s enterprises. It can potentially become an important differentiator in the fast-paced era of digitalization.
We empower your systems with real time data integration capabilities so they can handle diverse data types aggregated from different touchpoints. Unifying your integration process helps eradicate data siloes making data available to users with access.
Accelerate value creation and speed-to-value with real-time data analytics
Timely and accurate insights help deliver your business priorities. We enable this by creating bespoke analytics solutions that suit your exclusive needs.
Partner with us to discover value in data. We will reinvent your business performance by delivering sustainable value with our intelligent real time analytics platform in big data.
Make sense of your data and steer your business to success with our dynamic dashboards
As a data visualization solution provider, we carefully select BI tools based on your business needs. We use them to your advantage and design intuitive dashboards that help simplify complex datasets and present the information in a visually compelling manner.
Our customizable and interactive dashboards help present data using the relevant tools and technologies. Leverage them to display and track your key performance indicators on a single screen to support better decision-making.
Forecast trends and outcomes accurately to gain a competitive edge with our data-driven insights
Predictive analytics play a critical role in the different types of data analytics services we offer. Here, we extract insights from the existing data sources to analyze patterns and predict future trends and outcomes using different data analytics tools.
Use this technique for business risk assessment and management. Make it your differentiator by using its insights to adapt to industry needs and identify opportunities for growth.
Ensuring high-quality, reliable, relevant, and consistent data for accurate and timely analysis
As your partnering data visualization consultant, we are committed to implementing the best practices of data quality management.
Our data quality management services leverage a niche set of practices and methodologies to identify data quality issues, perform root cause analysis, innovate solutions based on the insights and create metrics to establish the required data quality standards.
Building meaningful data analytics and visualization strategies tailored to meet business needs
Enhance your business competency with data-driven decisions. Implement our customized data initiatives to improve different business verticals, such as operations, engineering, and governance.
We excel at building comprehensive data ecosystems tailored to individual business and industry needs. Further, our advanced data visualization techniques empower you to proactively comprehend evolving market dynamics and launch innovative offerings successfully.
Elevating user experiences with continuous monitoring beyond performance and response times
In a highly connected digital landscape, it is important to monitor and preempt variables that can impact the performance of an application. Making this an afterthought can have severe consequences like poor user experience leading to an increase in user frustration and bounce rates.
We help track key performance indicators (KPIs) to improve system availability, response times, user experiences and optimize system performance.
Facilitating preparedness and planned decision-making to build a competitive business strategy
Tracking marketing trends plays a critical role in defining an online business’s roadmap to success. Avail of our in-depth analysis to understand market dynamics and customer behavior.
Our market trend analysis services leverage appropriate tools used in data analytics to analyze evolving trends associated with your competitors and targeted market segments. Implementing the insights gained will help you drive long-term success.
Mapping risks and closing gaps in your data activities to maintain compliance and governance
With privacy regulations becoming more stringent, you cannot afford to develop loopholes in your data governance and compliance with applicable regulations.
Partner with us and be assured that we will follow stringent data security and privacy practices. We also adhere to industry standards and applicable regulatory compliance to ensure security and governance.
The Unified Advantage
What makes us the top choice for data visualization and analytics services?
Break down your data siloes to witness what your data reveals. Integrate insights into interactive reports for enhanced visibility.
We drive business transformation with accurate data-based business intelligence. Our data analytics and visualization tools simplify complex data into clear, visually compelling narratives. We help businesses easily monitor goals and achievements, predict demand, explore growth opportunities, and identify gaps, all with actionable insights and strategic foresight.
Unmatched Expertise
Proven Success
Our portfolio of success stories proves our ability to unlock the value of clients’ data sets and help them achieve measurable results.
Customer-centric Approach
We encourage real-time collaboration with our clients and are committed to delivering exceptional customer service and support.
Scalability
Our data analytics solutions are futuristic and designed to scale up to meet evolving business demands and encourage further growth.
Training and Documentation
Ensuring smooth adoption and usage of our custom data analytics solutions is a priority. We do it so clients can maximize their digital ROI.
Our Success Stories
Real examples demonstrating our expertise in analytics and visualization
Logistics
Reimagined the website to boost conversions and user engagement of a leading online logistics provider
Unified Infotech undertook a complete redesign of the client’s legacy website, focusing on creating a user-friendly and conversion-optimized platform.
- 63%
Increase in visitor engagement
- 2x
Improvement in customer enquiries
Real Estate
Building an AI-enabled, blockchain-based prop-tech platform for an investment management startup resulting in venture funding
Unified Infotech engineered a sophisticated solution an investment management giant, leveraging cutting-edge blockchain technology and AI.
- 5
Million+ seed funding
- 70%
Year-on-year growth since launch
Healthcare
Reengineering the customer application and building first of its kind digital formulation wizard for a pharmaceutical giant
Unified Infotech provided a comprehensive solution to transform the client’s custom application into a user-centric, efficient, and scalable digital platform.
- 35%
Increase in operational efficiency
- 20%
Reduction in time-to-market
Industries We
Serve
Enabling bespoke data analysis visualization capabilities for multiple industries
Uncover the driving forces behind our data analytics and visualization expertise
Analysis Tools
Utilize specialized analytics solutions to examine data sets, identify patterns, and derive actionable insights for informed decision-making.
ETL Tools
Extract, transform, and load data seamlessly from different touchpoints into a centralized system for efficient analysis and reporting.
Business Intelligence Tools
Enables data analysis, visualization, and reporting to support strategic business decision-making and enhance operational efficiency.
Log Management
Collect, store, manage, and analyze log data from various sources to troubleshoot issues and gain operational insights.
Web Technologies
Develop and enhance interactive and dynamic web applications and services by leveraging modern web standards and frameworks.
APIs and Connectors
Facilitate seamless integration and communication between disparate applications and systems to enable smooth data flow and interoperability.
Machine Learning Platforms
Provides a comprehensive environment for building, training, deploying, and managing machine learning models and workflows.
AI/ML Frameworks
Leverage the given tools and technologies to develop, train, and deploy artificial intelligence and machine learning models effectively.
Programming Languages
Select the right coding language to write, debug, and execute software applications for different verticals of a business and diverse workflows
Frameworks
Provides a structured foundation for developing software applications, ensuring their consistency and reducing time-to-market.
Data Governance
Establish and enforce required regulations, policies, standards, and procedures to manage data assets and secure their confidentiality and privacy.
Data Profiling and Cleansing
Discover data, identify and cleanse it to maintain its high quality. Enable efficient data quality management with the best tools available.
Containerization
Packages applications and their dependencies into containers for consistent and reliable deployment across different environments.
Application Performance Management
Ensures optimal user experiences by monitoring and managing the performance and availability of software applications.
Big Data Ecosystem
Offering a comprehensive suite of tools and technologies capable of handling, storing, processing, and analyzing big data efficiently.
Big Data Processing
Manage and analyze large volumes of data using scalable and efficient processing techniques to uncover accurate insights and drive decision-making.
In-memory Data Stores
Data storage in memory for quick retrieval and processing to significantly boost the performance of data analytics applications and solutions
Natural Language Processing
Analyze and understand human language to offer personalized and automated customer support, accurate language translations, etc.
Stream Processing
Process data in real-time, allowing for their immediate analysis to generate timely insights and enable better decision-making
Our Process Involvement
Dynamic, dependable approaches to maximize your data's worth
01
Discovery Phase
Our data analysts initiate every project with the discovery phase.
Here we study their system and workflows to understand how data is aggregated and where it is destined to go. We leverage these insights to tailor an exclusive data strategy.
02
Data Preparation & Analysis
Data aggregated from the different touchpoints is raw and unstructured.
We organize and prepare it by discovering and assessing data, cleaning and validating it, and then transforming it to make it analysis-ready.
03
Analysis and Visualization
We apply advanced statistical and machine-learning techniques to facilitate accurate data analysis. The insights gained are presented in a visually appealing manner using interactive dashboards, making it easy to seek and understand information.
04
Integration
Our data integration platforms help connect to a data source, extract data, and transform it to facilitate seamless integration.
They also help expedite data integration by automating workflows directly related to data availability.
05
Monitoring and Support
Continuous monitoring empowers us with insights to proactively plug all loopholes and deliver data-driven excellence.
We also provide 24/7 maintenance and support to ensure optimal performance by reducing downtimes.
06
Training and Documentation
We commit to providing exceptional outcomes for our clients and develop comprehensive documentation to achieve this.
To maximize the output of our data analytics and data visualization solutions, we design and provide training sessions also.
** We usually tailor our process based on the project requirements and based on the services combination our base process varies slightly, while following the underlying principles.
Ready to Unlock Your Data's Potential?
Leverage our expertise to harness your business data and drive growth
Talk To Our Experts- YEARS OF EXPERIENCE IN THIS FIELD
8+
Years Experience
- Total No. of Satisfied Customers
30+
Global Clients
- Driving Tech Excellence
15+
Tech Experts
Best Practices
Practices that drive our proficiency in data analytics and visualization services
Data Governance
Certain established regulations and compliances govern data handling and usage. Non-compliance with data governance regulations and standards can also have legal implications in some places.
We take data governance very seriously and lay special emphasis on maintaining data integrity, making it a key differentiator of our data analytics solutions.
Data Security
Cyberthreats evolve quickly, making continuous monitoring of the analytics solution a critical aspect of our data maintenance and support.
Further, we are dealing with sensitive and confidential information here and are committed to utilizing advanced security measures to protect sensitive data from breaches and unauthorized access.
Data Quality Assurance
The better the quality of the data, the better the insights generated. Data quality assurance helps ensure data quality, leading to high-quality insights.
As an enterprise data service provider, we regularly validate and cleanse data following its best practices to maintain high standards of data quality.
Standardized Processes
Adopting standardized processes and methodologies improves operational efficiency, reduces errors to make the process cost-effective, and facilitates cross-collaboration to ensure consistency and reliability in analytics projects.
We implement the best practices of data analytics and visualizations to maximize process output by optimizing resource and time use.
Documentation
Detailed documentation helps keep track of all aspects related to analytics and visualization, making it easy to comprehend and improve.
By maintaining thorough documentation of all processes, analyses, and visualizations, we ensure project transparency and productivity.
Regular Audits
Conducting regular audits ensures adherence to protocols and helps identify areas for improvement. It also reduces duplication efforts, improves data accuracy, ensures compliance, and eliminates ambiguity.
Along with the above benefits, we also leverage conducting frequent audits to find vulnerabilities and address them proactively.
Scalability
We design solutions with scalability in mind to accommodate future client business growth and increasing data volumes. Hence, regardless of how much your business grows, our data analytics solutions can handle the increase in the volume of data generated.
Change Management
Effective change management helps minimize risks when changes are made to systems and services. It systematically tracks and manages changes made to the solution. Implementing effective change management practices offers greater control over these chances, thereby enabling a smooth transition of the new solutions into existing workflows.
Performance Metrics
Defining and monitoring key performance metrics helps measure the success and impact of analytics solutions. They are essential tools for determining whether and how the implemented solution is performing against its objectives and goals.
We keep evaluating our implemented analytics and visualization solution to understand the loopholes and address them.
Engagement Models
Providing a variety of flexible collaboration methods to meet your needs
Fixed Budget Model
The service provider and the client agree on a pre-determined scope and cost, legitimizing the agreement by a signed contract. Changes in the project scope are integrated as they occur, along with project costs and timeline revisions.
IT Staff Augmentation
Businesses can supplement their in-house team with additional resources from a service provider. Clients have the flexibility to scale up their teams based on seasonal demands, eliminating the need to hire full-time employees.
Dedicated Team Model
Ideally, this model suits long-term projects requiring ongoing development, testing, and maintenance. The dedicated team functions as an extension of the client’s in-house team by aligning with the company goals and processes.
Time and Material Model
The service provider helps clients with specialized tech experts at agreed hourly rates. Good for projects requiring a Requirements Analysis Exercise before moving to a Fixed-Price Model based on the outcome analysis.
General Services Retainer
This engagement model is ideal for businesses that need regular, reliable cross-workflow support. You get technical support and assistance to ensure your systems work flawlessly 24/7, in lieu of a predetermined fee.
Support & Maintenance Contract
Provides continuous support and maintenance services for existing client systems and applications. Ideal for businesses needing regular updates, troubleshooting, and technical support to ensure flawless 24/7 performance.
Adaptive Bulk Purchase
This model allows clients to purchase bulk services or hours in advance at a pre-decided rate, making it ideal for businesses with fluctuating service needs. They can leverage these services or service hours as needed.
Frequently Asked Questions (FAQs)
What is data integration?
Data integration is a process wherein data is aggregated from multiple touchpoints across an organization and used as an up-to-date dataset for business intelligence and data analytics. It is a cumulation of many sub-processes, such as data replication, data ingestion, and data transformation. These processes transform different formats of raw data into standardized formats and store them in a target repository like data lakes and data warehouses.
What is the difference between data analytics and data visualization?
Data analytics is the process of analyzing data to gather insights and formulate patterns and trends. Simply speaking, analytics extract meaning from data collected across multiple sources.
Data visualization involves showcasing these insights into easy-to-understand visuals. These visual narratives contain different types of information and are circulated among internal and external stakeholders.
What is the purpose of data visualization?
The purpose of data visualization is to curate data into easy-to-understand visual narratives. These narratives highlight different stories, such as an organization's health, upcoming trends, outliers, etc. It makes it easy for the viewer to seek information easily by removing the noise from data.
Ready to Embrace Digital Change?
Contact us today to schedule a project discussion.
14+
years in business
300+
global clients
250+
tech experts
91%
Customer Retention
