In a World of Technology, Limsons is

One stop destination for all your desires

Data Strategy & Architecture
  • Effective data strategy and architecture enable organizations to harness the full potential of their data assets, driving innovation, efficiency, and competitive advantage. Data strategy and architecture are critical components in today's digital landscape, particularly as organizations increasingly rely on data-driven decision-making.
  • Data Strategy: The overarching plan that outlines how an organization will collect, store, manage, analyze, and utilize data to achieve its business objectives. A robust data strategy aligns with the organization's goals and provides a roadmap for leveraging data as a strategic asset.
  • Data Architecture: The design of the systems and infrastructure that support data management and analytics within an organization.

Data Engineering
  • Data engineering is a field within data management that focuses on designing, building, and maintaining the systems and infrastructure required to process, transform, and store large volumes of data. Our data engineers play a crucial role in enabling your organization's data-driven decision-making by ensuring that data is accessible, reliable, and optimized for analysis.
  • Data engineering is essential for building robust data pipelines and infrastructure that enable organizations to extract actionable insights from their data assets and drive business value. It requires a combination of technical skills, domain knowledge, and problem-solving abilities to address the complex challenges associated with managing big data, which we provide you.

Data Governance
  • Data governance is a set of processes, policies, standards, and metrics that ensure effective management, protection, and utilization of data within an organization. It provides a framework for defining roles, responsibilities, and procedures related to data management, with the goal of maximizing the value of data while minimizing risks and ensuring compliance with regulations.
  • Data governance is essential for establishing a culture of data-driven decision-making, ensuring data integrity and security, and maximizing the value of data assets within an organization. It requires collaboration across business, IT, legal, and compliance functions to develop and implement effective governance frameworks that meet the organization's strategic objectives.

Data Quality
  • Data quality is the degree to which data meets the requirements and expectations of its intended use. High-quality data is accurate, complete, consistent, timely, and relevant to the needs of users and applications. Poor data quality can lead to incorrect analysis, flawed decision-making, wasted resources, and reputational damage for organizations.
  • Effective data quality management requires a combination of technology, processes, and governance practices. Organizations should establish data quality standards, implement data quality tools and solutions, and foster a culture of data stewardship and accountability to ensure that data remains a trusted and valuable asset. Regular monitoring, measurement, and improvement of data quality are also essential for maintaining high-quality data over time.

Business Intelligence (BI) and Data Analytics
  • BI and Data Analytics are closely related fields that focus on extracting insights from data to support decision-making and drive business performance. While they share common goals, they differ in terms of scope, methodology, and tools used. BI refers to the process of gathering, analyzing, and visualizing data to provide actionable insights that support strategic, tactical, and operational decision-making within an organization.
  • Data analytics involves the process of analyzing raw data to uncover patterns, correlations, and trends that can be used to make informed decisions and predictions. Integrating BI and data analytics capabilities allows organizations to gain a comprehensive understanding of their data, from historical performance to future opportunities, and enables them to make data-driven decisions at every level of the organization.

Data Science
  • Data science is an interdisciplinary field that combines domain expertise, programming skills, statistical knowledge, and machine learning techniques to extract insights and knowledge from structured and unstructured data. It encompasses a wide range of techniques and methodologies for analyzing data, solving complex problems, and making data-driven decisions.
  • Data science is applied across various industries and domains, including finance, healthcare, e-commerce, marketing, and cybersecurity, to solve a wide range of problems such as customer segmentation, fraud detection, demand forecasting, and recommendation systems. It relies on a combination of domain knowledge, technical skills, and critical thinking to derive actionable insights and drive business value from data.

Data Sharing
  • Data sharing involves the exchange of data between individuals, organizations, or systems for various purposes such as collaboration, analysis, research, decision-making, and innovation. It plays a crucial role in leveraging data as a strategic asset and driving value creation across industries and domains.
  • Effective data sharing requires a combination of technical, organizational, legal, and cultural factors to address challenges and maximize the benefits of sharing data responsibly and ethically. It requires collaboration and coordination among stakeholders to develop policies, standards, and mechanisms for sharing data securely, transparently, and equitably.

Data Apps
  • Data apps (data-driven applications), are software applications that leverage data to provide valuable insights, functionality, or services to users. These apps utilize various data sources, processing techniques, and visualization tools to deliver actionable information, automate tasks, or enhance user experiences.
  • Data apps play a vital role in harnessing the power of data to drive innovation, efficiency, and competitive advantage across various industries and domains. By leveraging data effectively, these apps empower users with actionable insights, automation, and intelligence to achieve their goals and objectives.

Marketing Technology
  • Marketing technology, often abbreviated as "martech," refers to the tools, platforms, and software used by marketers to plan, execute, and measure marketing campaigns and activities. Martech encompasses a wide range of technologies that help marketers automate processes, analyze data, engage with customers, and optimize marketing performance.
  • Mrketing technology plays a crucial role in helping marketers adapt to evolving consumer behaviors, preferences, and expectations in today's digital landscape. By leveraging martech effectively, marketers can streamline processes, drive efficiency, and deliver more personalized and impactful marketing campaigns that resonate with their target audience.
Limsons IT Services Education & Trainings

At Limsons we provide Online training to our consultants in different technologies to meet the Industry needs. Our training and mentoring services help you to build the right skills to support various IT and network related projects.

We have certified professionals to provide training, support and guidance. Our training programs are designed by combining real world scenarios and our experiences over years of hands on experience and research.

Our online courses presented through the Internet provide technical training in multiple technologies.

Courses are easily accessible via the Internet making them available at home, work, or while travelling. Courses include an abundance of helpful interactive content like simulations, skill assessments, and a powerful search feature to create an engaging, effective learning environment. Flash simulations, video and audio to enhance the learning experience.

We Provide Expert Training by highly qualified, industry-experienced & certified consultants
Remote training for off-site candidates
Flexible Training Hours
Resume Preparation & Marketing
Mock Interviews
Technical Support and Mentoring by Technical Experts
Competitive Salary Package
Job Support
Visa Processing
Continuous Support even after Placement

Online Training: Online training provides students with a live instructor-led experience, via the Internet, that meets specific learning objectives. Instructors and students share an interactive experience, including active discussions, simultaneous document viewing and application sharing.

We are offering expert training in the following technologies
  • Mobile Apps
  • Testing Tools
  • QTP
  • Hadoop
  • Big Data
  • I Cloud Computing
  • Java
  • .Net
  • SharePoint
  • SAP All Modules
  • ETL/Informatica/ BO/Cognos
  • Oracle
  • Web Tools
Latest News

We are engaged, customer focused, we finish job and deliver precise results on schedule.

We are accepting investment Capitol to develop this project. Raising a Target capital of $2 million with family and friends. $ 200,000 Committed so far by near and dear...

Minimum Investment $ 2500. preferred is 12,000 per investor. Reach for More details about Investment plan ROI Etc.

We deliver full spectrum of solutions. Get Quote