From Insights to Action with
Big Data Services
Transforming Raw Data with Data Analytics Solutions
Let’s talk technology!Harness, process, and derive valuable insights from vast and complex datasets. Unlock the potential of Big Data to drive profound insights, informed decisions, and transformative growth.
Our Big Data Services
Collaborate with our Big Data experts throughout your Cloud journey to create a tailored roadmap to reap the benefits of our data and analytics solutions. From collection and analysis to strategic implementation, we're here to guide you on your journey to harness the full potential of Big Data.
Here's our proposed architecture that forms the foundation for our Big Data engineering services:
We assist in effectively managing, utilizing and deriving value from data within an organization. This includes:
Data strategy
Conduct data maturity assessment to become data driven.
Opportunity realization
Leverage meaningful insights to spot new growth avenues.
Data analytics consulting
Analyze business data to make strategic data-driven decisions.
Data governance & operating model strategy
Adhere to data compliance to ensure data security & reliability.
We help in organizing, storing, and securing data by ensuring data compliance. This includes:
Data storage and ELT/ETL
Learn about data management architectures and store raw data in a cost-effective data lake.
Data cleansing
Refine data in lakes before moving it to warehouses. Employ Data LEGO for data cleansing.
Data ingestion
Ingest and enrich diverse data streams (web/mobile apps, wearables) for a unified view.
Data extraction
Fetch data from various sources for replication to a set destination or warehouse.
Data modelling
Model business problems, apply schema strategies for diverse data sources/sinks.
Data pipelines
Offer full data lifecycle management, replacing costly siloed infrastructure with agile big data pipelines.
Data modernization
Move data between legacy systems and cloud storage, using metadata tools for visibility and error tracking.
Business rule configuration
Set endless custom business rules in data pipelines for tailored data transformations.
Data access layer
Construct a secure API layer for app access, &language-agnostic data.
Data governance & security
Access end-to-end data management & governance services for enhanced security
Real time data processing
Analyze incoming data streams in real time by enabling immediate insights and actions.
We assist in combining statistical analysis and technology to extract insights, aiding informed decision-making and strategic planning. This includes:
Real-time analytics
Benefit from real-time processing for rapid insights and swift strategic decisions.
Data CI/CD
Develop complex apps with user feedback through CI/CD pipelines to reduce requirement gaps.
Data analytics & visualization
Create detailed dashboards using tools like Power BI and Tableau for full asset visibility.
Data Science
Craft crucial algorithms & extract maximum meaning from data.
We help in combining data from various sources to create a unified, accurate, and coherent dataset. This includes:
360-Degree View
Make informed decisions by understanding customers, products, operations, and other critical aspects.
Improved Analytics
Fetch more accurate and meaningful analysis, leading to clearer insights from fragmented data.
Enhanced Operational Efficiency
Integrating data reduces manual data entry leading to improved efficiency & reduced errors.
Better Customer Experience
Get a more holistic grasp of customers, improve personalization and tailor services.
Featured Insights
Unlock your data’s potential today with our big data services!
Let's talk Big dataSuccess Stories
Questions on your mind
What is Big Data and its key characteristics?
Big data is so named as it refers to extremely large and often unmanageable and unprocessable data especially if using traditional methods and tools.The following are the characteristics of big data:
- Volume: Vast amounts of data running upto terabytes, petabytes, or exabytes
- Velocity: High speed data collected through real-time data streams from sensors, social media updates etc.
- Variety: Structured (traditional relational databases), semi-structured (JSON, XML), and unstructured data (images, text, video)
- Value: Meaningful value and insights extracted from data by discovering patterns and trends
- Veracity: To increase the trustworthiness of data and make it reliablity often requires cleaning and validation.
- Variability: Data is ever changing making it harder to standardize and integrate disparate data
How does big data contribute to innovation and new business opportunities?
Big data is a catalyst for innovation and provides organizations with business insights to help improve decision making and capitalize on new business opportunities. It can help create new business opportunities in the following ways:
- By uncovering trends and patterns that can help develop innovative products
- Analyze usage data to enhance existing products
- Proactively adjust strategies through predictive analytics
- Optimize processes to create new opportunities
Why is Big Data important in today's business and technology landscape?
Big data is important because it allows businesses to gain actionable insights from the copious amount of data available with them. It can help them :
- Make informed decisions by learning about customer behavior and market trends
- Gain competitive advantage by quickly responding to changes in customer preferences through the data
- Increase personalization by creating customized offers after learning customer habits and preferences
- Identify anomalies and detect frauds at the earliest to gain customer confidence
- Optimize supply chain to improve customer satisfaction