Big Data Consulting and Development
Big data refers to vast volumes of complex and diverse information from various sources that exceeds traditional data processing capabilities. Our big data services help to uncover valuable insights, patterns, and trends to enable businesses to manage, analyze, and interpret vast amounts of data efficiently, making informed decisions and driving innovation.
Lightpoint’s Big Data Services
Using Artificial Intelligence, Machine Learning and complex analysis, you can extract meaningful insights from very large, multivalent data sets — such as customer behavior, supply chains and internal processes in real time.
We provide big data development services and big data consulting services to harness the potential of massive datasets to gain deeper insights, enhance decision-making processes, and orchestrate unstructured data flows.
Big Data Consulting
Big Data Development
Talk to us today about your Big Data needs. We’ll work with your team to build a bespoke solution for your business.
Big Data Solutions We Develop
Analysing why your best sellers are already successful, and the wider market, tells you what features new products or offerings should have, helping you successfully innovate.
Big Data analysis can reveal unanticipated risks that you wouldn’t otherwise see coming, as well as showing you ways to mitigate known risks and increase organizational resilience.
Radically improve supply chain performance, efficiency and security with Big Data analysis of stock flows, enabling demand planning, more accurate ordering and scheduling, and real-time execution.
Extract unstructured data from web analytics, social media, digital ads and mobile app usage, transform it and integrate it with CRM, marketing automation and EDW to predict customer behavior and achieve real, accurate personalization.
Suggest products, services and solutions to your customers and clients based on big data analysis, including specific and general customer behavior. Achieve real personalization at scale.
Identify customer and prospect content preferences and customize content recommendations, automatically and at scale, using Big Data analysis of consumption patterns, clicks, and feedback.
Track mentions and trends, behavior patterns and more across major social platforms, leveraging big data analytics to identify patterns that can be used to fuel sales and predict responses.
Tasks we help to solve
The business potential of big data is immense and transformative. It offers significant opportunities for businesses by unlocking hidden value in massive datasets. Figure out main tasks our big data services aid organizations with:
We can analyze complex, vast, diverse volumes of data from multiple sources, enabling businesses to derive valuable insights and patterns that were previously challenging or impossible to identify.
We allow organizations to process and analyze data in real-time or near-real-time, empowering them to make informed decisions quickly and respond promptly to changing situations or opportunities.
With our big data solutions you can scale horizontally, accommodating growing data volumes and increasing computational demands while maintaining optimal performance.
We can integrate and unify data from different sources, creating a single, comprehensive view of information that helps businesses gain a holistic understanding of their operations and customers.
Leveraging our big data services, you can apply advanced analytics and machine learning algorithms to predict future trends, customer behavior, and market shifts, aiding in proactive decision-making and strategic planning.
We enable businesses to understand individual customer preferences and behaviors, facilitating personalized marketing efforts, product recommendations, and tailored customer experiences to improve customer satisfaction and retention.
Our big data competencies
Lightpoint develops all technical components of a Big Data software solution. These components work together to create a comprehensive software ecosystem that enables organizations to use big data to its full potential.
Data Ingestion
Mechanisms to collect and ingest data from various sources, such as databases, logs, social media, sensors, and streaming platforms.
Data Storage
Solutions for storing and managing large volumes of data efficiently, often using distributed file systems or cloud-based storage options.
Data Processing
Algorithms and workflows for processing, cleansing, and transforming raw data into usable formats for analysis.
Data Analytics
Statistical analysis, machine learning, and data mining techniques to derive insights, patterns, and trends from the data.
Data Visualization
Tools and libraries to create visualizations and dashboards for presenting data findings in a clear and interpretable manner.
Real-time Processing
Systems capable of processing and analyzing data in real-time or near-real-time to support real-time decision-making.
Scalability and Performance
Architectures designed to scale horizontally and optimize performance to handle massive data volumes and complex computations.
Data Integration and ETL (Extract, Transform, Load)
Techniques to integrate data from various sources and perform ETL operations for data preparation.
NoSQL Databases
Non-relational databases which are often used to handle unstructured or semi-structured data.
Cloud Computing
Utilizing cloud services for elastic scalability, cost-effectiveness, and accessibility without the need for extensive infrastructure setup.
Data Governance and Metadata Management
Ensuring data quality, metadata management, and governance to maintain data integrity and consistency.
Data Security and Privacy
Implementing robust measures to protect sensitive data, ensure data privacy, and comply with data protection regulations.
Big Data technologies we work with
Golang, Python, SQL, T-SQL
Django, Numpy, Pandas, Docker, Airflow, Jenkins, Grafana, Prometheus
Microsoft SQL Server Integration Services (SSIS)
Apache Kafka, Apache Airflow
Microsoft SQL Server, Oracle, PostgreSQL, MySQL, SQLite, Redis, MongoDB, DynamoDB, AWS S3, ClickHouse, Amazon Redshift, Google BigQuery, Snowflake
TensorFlow, Keras, Scikit-Learn, Pandas, Numpy, Dask, Matplotlib
XGBoost, CatBoost, LightGBM
NLTK, Spacy, DeepPavlov, fastText, Pymorphy2, HuggingFace
ETL Testing, Data Quality, Test Automation
Power BI, Tableau
OS: Windows, Linux, MacOS
Methodologies: Agile, Scrum
Lightpoint builds powerful tools based on Big Data as a component in your business processes. We’ll work with you to ideate and architect the right solution. Get in touch to get started.
Our Big Data Portfolio
We pride ourselves on delivering innovative solutions that harness the power of big data to drive business growth and success. Our projects span diverse industries, from healthcare and finance to retail and manufacturing, showcasing our expertise in data analytics, real-time processing, and data-driven decision-making.
How We Work
As a full cycle software development company, we synchronize our development approach with our clients’ business goals and project nuances to deliver the right solution in the right time. Explore our engagement models, and choose which one works best.
Who we do it for
With a deep expertise in these industries, we are dedicated to transforming data into a strategic asset for your business success.
E-Publishing
The Lightpoint difference
Our team possesses strong data analytics knowledge and skill set and is well-experienced to handle data-related challenges effectively.
Data-savvy team
Scalability and Integration
Data Security