From Insights to Action with Big Data Services
Transforming Raw Data with Data Analytics Solutions
In today's digital landscape, the sheer volume and complexity of data generated by businesses and organizations have grown exponentially. Over 2.5 quintillion bytes of data are created daily. It is estimated that 75% of companies will actively invest in improving their data management, analytics, and automation by 2025.
Thus, it is evident that many leaders recognize that they must tackle unprocessed data and make informed decisions. We can help.
Unlock the potential of big data.
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 is 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:
Conduct data maturity assessment to become data driven.
Leverage meaningful insights to spot new growth avenues.
Analyze business data to make strategic data-driven decisions.
Adhere to data compliance to ensure data security & reliability.
We help in organizing, storing, and securing data by ensuring data compliance. This includes:
Learn about data management architectures and store raw data in a cost-effective data lake.
Refine data in lakes before moving it to warehouses. Employ Data LEGO for data cleansing.
Ingest and enrich diverse data streams (web/mobile apps, wearables) for a unified view.
Fetch data from various sources for replication to a set destination or warehouse.
Model business problems and apply schema strategies for diverse data sources/sinks.
Offer data lifecycle management & replace siloed infrastructure with agile big data pipelines.
Move data between legacy systems and cloud storage, using metadata tools for visibility and error tracking.
Set endless custom business rules in data pipelines for tailored data transformations.
Construct a secure API layer for app access, & language-agnostic data.
Access end-to-end data management & governance services for enhanced security and ownership.
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:
Benefit from real-time processing for rapid insights and swift strategic decisions.
Develop complex apps with user feedback through CI/CD pipelines to reduce requirement gaps.
Create detailed dashboards using tools like Power BI and Tableau for full asset visibility.
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:
Make informed decisions by understanding customers, products, operations, and other critical aspects.
Fetch more accurate and meaningful analysis, leading to clearer insights from fragmented data.
Integrate data to reduce manual data entry leading to improved efficiency and decreased errors.
Get a more holistic grasp of customers, improve personalization, and tailor services.
Nitor Infotech’s client’s challenge was difficulty in identifying at-risk diabetics. Our solution? We helped them build an Enterprise Data Warehouse. The impact? Identification of at-risk diabetics early and reduction in costs for the client.