Big Data Solutions & Services

We specialize in comprehensive Big Data Solutions & Services that manage the storage, processing, analysis, and maintenance of large volumes of unstructured data in an organized and efficient manner. Our goal is to leverage this data for real-time analysis, visualization, and predictive insights.

Our expertise lies in designing and deploying tailored analytic solutions using leading Big Data technologies such as Hadoop and MongoDB. As seasoned Big Data service providers, our solutions are centered around the four core dimensions of Big Data and these are:

Volume: The more data we handle, the more comprehensive our view of information becomes, providing deeper insights and better decision-making capabilities.

Velocity: Velocity refers to the speed at which data flows and is analyzed. Rapidly feeding customer data into our Big Data platform enhances our ability to make timely decisions that align with management goals.

Value: Value focuses on identifying valuable information. By consolidating, cleansing, and ensuring consistency in our data, we improve our ability to make precise decisions that add significant value.

Variety: Variety involves managing data from diverse sources and formats, such as logs, CRM systems, and social media. This diversity enriches our insights and enhances informed decision-making.

Big Data Management Solutions

Askzenix Technologies' Big Data Management solutions offer efficient visibility and simplicity for monitoring and managing large-scale data projects across diverse platforms. Our solutions provide detailed insights into data and metrics from a unified view.

Key Features:

Simplified Management: Manage complex big data environments more easily.
Unified Management: Monitor and manage big data across mobile, private, and public clouds, as well as distributed and mainframe systems, using a vendor-neutral approach.
Visibility and Simplicity: Gain comprehensive visibility and simplified monitoring across all platforms.
Our solutions explain the potential of both structured and unstructured data, optimizing infrastructure management and enabling advanced analytics to meet the demands of growing big data environments.

Askzenix Technologies leads in simplifying Big Data management by providing unified monitoring and management solutions. We reduce the complexity associated with managing multiple vendor tools across tens or hundreds of instances, enabling organizations to streamline operations, identify system issues, detect trends, and respond swiftly.

Take a look at our comprehensive services and support options to accelerate your success with timely assistance and targeted solutions.

How big data is making a difference?

Big data's significance extends beyond data volume to its effective utilization. By analyzing diverse data sources, organizations achieve key objectives:

Better Resource Management: Allocate resources based on data insights.
Improve Operational Efficiencies: Identify and simplify processes.
Optimize Product Development: Innovate based on customer feedback and market trends.
Drive Revenue Growth: Identify new opportunities for business expansion.
Enable Smart Decision Making: Make informed decisions swiftly and accurately.

Paired with high-performance analytics, big data enables tasks like:

Real-time root cause analysis of failures.
Faster anomaly detection compared to traditional methods.
Swift analysis of complex medical image data to enhance outcomes.
Rapid recalculation of risk portfolios.
Improved accuracy of dynamic variable responses in deep learning models.
Prevention of fraudulent activities before they impact operations.

Big data revolutionizes information utilization, enhancing decision-making and promoting innovation. Data scientists, engineers, and officers collaborate as data heroes to ensure data integrity and reliability.

Technologies like data lakes store diverse, unstructured data (e.g., tweets, images), enhancing flexibility over traditional data warehouses. Combining big data with cloud computing offers cost-effective solutions for processing and storing large data volumes, enhancing business agility and scalability.

As IoT expands, data volumes grow exponentially, presenting opportunities for innovation and competitive advantage across industries, from large enterprises to small businesses.

Big Data Strategies:

Performance Management: Performance management involves analyzing company data using specific queries and multidimensional analysis. This data includes transactional information such as customer purchase history and inventory levels. Managers can use this real-time information to make short-term decisions and long-term plans. Modern business intelligence tools offer customizable dashboards that allow managers to filter, rank, and visualize reports across various business functions like HR, marketing, sales, and customer service.

Data Exploration: Data exploration uses statistical methods to discover insights from data that may not be initially apparent. Predictive modeling and cluster analysis help segment customers and predict behaviors, such as identifying potential drop-outs or preferences for product features. Organizations also use experiments to optimize digital marketing strategies by testing different content and engagement methods.

Social Analytics: Social analytics measure non-transactional data from social media platforms to assess brand awareness, engagement, and reach. Metrics like video views, followers, and community interactions help evaluate the success of social campaigns. Advanced tools analyze influencers' impact and help companies engage with key social media figures to amplify brand messages effectively.

Decision Science: Decision science involves analyzing consumer-generated ideas and product reviews to enhance decision-making processes. Crowdsourcing platforms enable companies to gather feedback and test new concepts before implementation. Text and sentiment analysis tools provide insights into consumer sentiment and product feedback, helping companies adjust strategies based on real-time data.
Each of these strategies leverages big data to improve business outcomes, from operational efficiencies and customer engagement to innovation and strategic decision-making. Integrating advanced analytics and technology enhances the ability to extract meaningful insights and drive competitive advantage in today's data-driven environment.

Big Data Workflow

To understand big data workflows, it's important to grasp the concepts of processes and workflows in data-heavy environments.

Processes are broad, end-to-end structures designed for decision-making and standardizing operations within organizations.

Workflows, on the other hand, are task-focused and require specific data inputs to execute tasks efficiently. Workflows are part of larger processes.
Existing workflows may not seamlessly handle big data due to differences in data volume and processing requirements.

When integrating big data into workflows it's crucial to:

Identify the necessary big data sources.
Align these sources with your workflow's data requirements.
Ensure your infrastructure supports the speed and storage demands of big data.
Choose appropriate data storage solutions.
Adapt or create new workflows tailored for big data.

After implementing big data workflows, it's essential to refine them to avoid overwhelming or compromising data analysis. Some big data sources lack clear data definitions or metadata, requiring careful understanding and preparation before use. Askzenix Technologies is here to help you with data workflows. Connect with us now.

Big Data Characteristics

Data Science: Data science uses methods to find, rank, and plan for the best big data projects. It helps in making decisions based on current events and predicting future trends.

Data Analytics: Big Data Analytics involves gathering large amounts of structured or unstructured data, sorting it out, analyzing it, and finding patterns and useful insights for businesses.

Data Engineering: Dealing with big data, clouds, pipelines, and platforms. Our skilled engineers integrate and organize large amounts of data to meet business goals.

Data Architecture: Data architecture involves designing the structure and organization of data systems. It focuses on how data is stored, accessed, and utilized within an organization.

Our big data solutions & Services:

Personalized Data Analytics Services: Our suite of personalized big data analytics services transforms data from various formats into actionable insights that drive your company's future success.

ETL Services (Extraction, Transformation, Loading): ETL is crucial for modern business intelligence (BI) processes. We extract data from multiple sources, transform it to fit operational needs, and load it into databases for analysis.

Enterprise Metrics Management: Enhance your understanding and management of enterprise metrics with quantifiable measures derived from big data. Track and assess the performance of specific business processes effectively.

Event Monitoring: Monitor events to gain valuable insights into organizational usage trends and user behavior. Integrate event log data with backend storage for comprehensive analysis.

Regular and Ad Hoc Reporting: Generate both scheduled and on-demand reports using BI tools. Whether for monthly performance evaluations or addressing specific business inquiries, our reporting solutions cater to your needs.

ERP Data Warehousing Services: We provide data warehousing services tailored for ERPs, extracting, cleaning, and organizing data from diverse sources. This enables aggregated analysis and informed business decision-making.

Performance Management Solutions: Optimize performance management with solutions that analyze employee productivity and effectiveness. Align compensation and career planning with organizational goals for enhanced performance.

Data Migration and Integration: Our innovative solutions simplify complex data migration and integration processes. Ensure efficient end-to-end migration to leverage data effectively across platforms.

Big Data Infrastructure Set-Up & Support: We offer comprehensive services for setting up and supporting Big Data infrastructure. Optimize resource utilization and ensure peak performance in any operational environment.

Leverage the synergy between Big Data and our expertise to enhance prediction accuracy, gain deeper insights into phenomena, and generate actionable intelligence. For more details connect with our Big Data experts right away.