Technologies for exponential millennial enterprise growth – leverage the power of IoT, Data Lakes/warehouse/Big Data technology, for advanced data analytics, AI/ML usage
Series of sky-rocketing market demands have gradually built on global Enterprises for over a decade, and the pandemic alone is not to blame. Revolutionary digital technology disruptions, surging and evolving tech-savvy Customers demands, value chain uprisings across industries, everything is playing its own part in a competitive market.
The need for disruptively, digitally transformed global workforce operations is rising at a revolutionary pace. Completely digitally operable enterprises are by default going to be the fundamental need in the coming times. For instance:
Enterprises can now 24X7 start connecting with field devices that would have been siloed for a long time.
Managers can now have constant access to such devices, enabling them to respond swiftly and even proactively to real-time business conditions.
Deployment of digital operational capabilities facilitate deployment of dramatically revolutionizing Tools and Applications. These tools can not only shape precision UX and EX capabilities, but also preemptively provide insights through market data from across endpoints, Enterprise Data Lakes and Data Warehouses.
Digitalizing Enterprises, which used to be once a niche competency of Software companies are now a mandated effort of every Organization, IT or otherwise.
Be always ready for what customer wants next!!!
Leverage next level technologies in Data warehouses, Data Lakes, Data Analytics, BI, AI/ML!!!
Share To:
Data is the most crucial component of any Enterprise. Properly and effectively utilizing it, involves its secure storage, as well as extracting precise business information out of it. Modern digital algorithm and technology advancements have mandated enterprises to deploy digitally disruptive and transformed platforms. Other vital aspects include empowerment of resources with relevant, digital skills to handle huge volume of dynamic data. It is vital to deploy suitable digital tools that personnel can trust and churn out exact, reliable, insightful and meaningful business information.
The incredible power of advanced Data warehousing & Data Lakes
Industry experts reiterate the phenomenal power of Data Lakes as foundations to tactical data management. Data Lakes convert massive enterprise data mines into priceless, insightful benefits and positive business outcomes. Data Lakes form the ideal platform for Enterprises to optimally employ their Analytics, and AI/ML applications.
Implementation of digital technology, Analytics and AI/ML calls for securing a wide range and categories of enterprise data. Outdated, legacy Database Management are based on inflexible database infrastructure that can only capture internal data, with pre-set layouts.
Today’s Data Lakes technology however facilitate data sourcing from varied bases, flexibly operate and play around with such data.
Data Lakes in tandem with AI/ML and CX/UX platforms- the basis for digital transformation
The ‘NXT-GEN’ evolution for Data storage & warehousing
Instantly identify prospects/customers, data democratization & governance
Capture precious business insights
The strength of Cloud-based Data Management
Leverage world-class Cloud Platform based Apps, Data warehouse technologies (Data Lakes, Snowflake etc. DevOps, Data Pipelines)!!!
Share To:
Needless to indicate, the Cloud has emerged as a radical transformer of not just Enterprise IT alone, but also the very structure of how businesses are conducted. It is not just about data in today’s millennial world being at the fingertips of every individual. It is now all about how data is intelligently manipulated through auto-analytics tools in novel ways to produce precise information for Users. The Cloud has revolutionized Enterprise business models unto the most elementary levels with its disruptive, robust data analytics capabilities. It has become a mandate hence for Enterprises to flexibly transmute all facets of their operations to accommodate groundbreaking changes posed by Cloud.
Global Enterprises are already into tapping newer market prospects through pioneering digital and analytics adoption. Operational adjustments, employee empowerment, Services and product transformations, seamless customer experiences and engagements, the list is endless.
Share To:
Transpire Capabilities
Data warehousing, Data Lakes, ETL, Cloud Data Engineering
Advanced techniques in Data warehousing and Database Management
Support for Analytics processes
Mobilize updated database architectures – Data Lakes, Big Data, and much more
Data cleansing, enriching data, and data integration
Wholesome access to enterprise data for Users
Integrating enterprise data
Methodical Data Governance
Extract-Transform-Load (ETL)
Put in place Data Quality Management techniques
Master Data admin
Create Logical Data models
Data Lakes
Put in place Self-Service Analytics practices
Combined multiple data sources into one data system
The 4 Vs: Volume, Velocity, Variety, Veracity
Inbuilding Extract-Transform-Load (ETL) techniques
Advantages
Ensure data Quality, ensure data harmonization, including infrastructure
Enabling advanced Data Lake technology (on-Premises or Cloud-based or, Hybrid)
Mobilize ETL techniques for BI dashboard
Extract data, profiling, and transformation
Put in place auto ETL tasks by extracting data from multiple sources
Data transformation process scheduling prior to data loading into data mart or data warehouse
Provide a wholistic business view using Integrated dashboards
Big Data
Mobilize advanced Big Data Architecture, customized for every business need
Put in place the best analytics techniques that seamlessly integrates with enterprise data warehouses. Mobilize advanced tools usage such as Python, R Studio Spark and much more
Create modern data visualization – insight providing GUI based dashboards, reporting, and tools like Tableau, DOMO etc
Install, manage and administer Big Data on-premises as well as on Cloud
Mobilize Analytics technology in real-time – event streaming, sensoring etc., with advanced tools like Spark, Databricks etc
Mining of Big Data: Leverage best values of Hadoop data, with tools like Spark etc
Cloud based Data Engineering
Mobilize standard and optimal data management, catering to B2B services and other industries
Effortlessly data platform challenges and issues across industry verticals
Mobilize engineered data on Cloud to aid easy decision making for managers
Migrate to Cloud
Systematically plan what and how to migrate to Cloud platforms (AWS/Azure/Google Cloud), track status migration status of applications, database/server statuses, no matter what migration tool you use
Augment business productivity, momentum and agility by migrating to Cloud
Reduce commercial risks
Want to know more about Transpire’s state-of-the-art Data warehousing, Data Lakes, ETL, Cloud Data Engineering capabilities?
Contact us Today!
