Advanced Data Engineering & Management
Turn Data into Action.
Advanced Data engineering and Management services to help you create high-performance infrastructure and unlock the power of data.Know More
The Highest Standards. The Happiest Clients.
IT Head, Financial Services Company, Dubai
“The solution designed by E-Connect not just helped us achieve a successful data warehouse migration but it’s cutting-edge nature enabled quick scaling and real-time audit.”
Database Manager, Retail Supplier in Canada
“E-Connect team is highly responsive and holds in-depth expertise in data architecture.”
Vice President of Operations – A global automotive manufacturing giant
“As our operations are across continents, multiple ERPs are used across BUs and Regions. E-Connect helped us consolidate the data from the various systems into a ‘Single Source of Truth’, reducing the time to close our financial periods/quarters by almost 60%.”
Head of Admissions – A global education consulting organization
“We have a large pool of students who apply for internships, but the decentralized and manual application process often led to errors and delays. As all the data was logged into the Salesforce system, the Sales and Service Cloud implementations by E-Connect streamlined end-to-end management of the student application process, while also giving visibility in a single location”.
AVP, Sales – Global supplier of medical products
“By integrating our traditional Oracle DRM solution with Salesforce, our Sales team could get a 360degree view of their customers, boosting sales by almost 40% and increasing the overall profitability by over 15%. Thanks to E-Connect’s Salesforce team who improvised the 3-D view and understanding of about 25,000 customer accounts, supporting 350+ sales professionals worldwide.”
CMO – An online E-commerce company for clothing & accessories
“We saw a whopping 25 % boost in customer engagement using E-Connect’s Marketing Analytics platform that facilitates easy customer cohort analysis to track and understand the churn rate, customer behaviors and characteristics, and create personalized campaigns and experiences.”
Managing Director – An electronics product manufacturing company
“E-Connect helped our team in a complex project of Revenue Retention Analysis by creating meaningful billings and revenue cohorts by leveraging over 2 years’ worth of revenue and billings data for over 40 customers during that period. This provided a “metrics-driven approach” to management of the venture capitalist firm to whom we approached as an expansion stage company.”
COO, Food & Beverage Retail Chain
“E-Connect’s solution in end-to-end integration of our distribution till the final POS has helped us optimize channel performance. Now we can monitor and grow our channels through a single dashboard.”
Supply Chain Manager, Automotive manufacturer in the UK
“E-Connect has helped us to leverage advanced data analytics by putting a highly efficient reporting and analysis system in place that is enabling us to make critical real-time business decisions 50% faster than before.”
Customer Success Head, German Auto Trader
“We are today able to deliver a superior customer experience thanks to the seamless and highly effective AWS cloud managed services set up by E-Connect.”
Financial Analyst, E-Commerce Startup
“Thanks to E-Connect, our ROI on data and information management has improved by 30%.”
Data Engineering for Digital Transformation
Empower your people to find the insights they need to tackle the most complex business challenges.
With ever-increasing data volumes and velocity, you must leverage top-notch data engineering consulting services to create intelligence and drive value from data to make a business impact.
You need massive amounts of data automation with real-time intelligence and data quality to drive accurate data-driven decisions and build trust. For that, you need world-class expertise to build systems that help you collect, transform, and publish data.
Our team of certified Data Analysts, Business Intelligence Consultants, Cloud engineers and Senior Architects with domain expertise across industries, can help you build data systems with strong data engineering principles to plan, deploy, and support your mission-critical data products.
Data Engineering and Management Services
Improve decision-making and business performance with E-Connect data engineering consulting.
Enterprise Data Warehouse (EDW)
With the Enterprise Data Warehouse, you can get real-time data access and machine learning generated insights to make better decisions that drive innovation. Integrate, transform, and connect all data across the organization with E-Connect’s enterprise-class data engineering consulting services and warehousing solution. Benefit from auto-scalability, high performance, security, and autonomous management. We will support you throughout all phases of an EDW installation life cycle.
Create an effective enterprise data warehouse strategy, choose the best data warehouse model, and build a prototype.
Full-cycle EDW development – from integrating data from multiple heterogeneous sources such as Relational Databases, CRM, ERP, Flat Files, etc., to full automation of data processes.
Set up enterprise analytics for Procurement, HRM, Marketing and Sales, SCM, etc.
Overall EDW Support
Implement minor adjustments, make changes that SLA covers, and provide overall EDW support.
Migrate to Cloud
Migrate your EDW to the Cloud, scale it up, & optimize performance & costs.
Set up EDW on advanced on-prem platforms SAP HANA, Oracle DB, etc.
Scale Up Data
Set up EDW on robust Cloud platforms like Snowflake, Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Oracle Autonomous Warehouse, or SAP Data Warehouse Cloud. It can help you quickly scale up, down, or out as needed to handle the constantly fluctuating data needs across different departments, business units, and geographies.
Leverage higher levels of data availability, greater scalability, and instant elasticity with Cloud data warehouses. Seek our data engineering consulting services and we will help you overcome the challenges of moving to a Cloud data warehouse and integrate data from across the organization in real-time – regardless of location, platform, operating system, and data type.
Understand user expectations from the Cloud data warehouse and analyze the performance, scalability, and data privacy requirements.
Improve Business Goals
Design the technology preferences and Cloud data architecture aligned with the business goals.
Establish a Cloud migration strategy with a sequential stepwise approach or bulk migration, establish all data sources and ingest automation into the data lake and data warehouse.
Data Quality Management
Implement data governance with data policy management, data risk management, data quality, and regulatory compliance.
Build Data Pipelines
Build Cloud-native data pipelines and automate deployments with real-time monitoring, alerting, and auto-scaling.
Deploy Cloud data warehouses on world-class platforms like Microsoft Azure, Google BigQuery, Amazon Redshift or Snowflake.
Optimize the Cost
Optimize costs with capacity planning, evaluation of technology alternatives, and complete visibility of close usage.
The amount of data and sources will increase as your organization grows. As a result, you may end up with a data warehouse having numerous schemas that can become difficult to navigate. Data marts can help you address this problem by improving query speed with a smaller, more specialized set of data and assist you in department-level, tactical decisions. We follow best practices to help you easily design a scalable independent data mart architecture for your business needs.
Gathering Business Requirements
Gather the business and technical requirements, identify data sources, select the appropriate subset of data and design the logical and physical structure.
Constructing Data Mart
Construct a data mart with an RDBMS like Microsoft SQL Server, Oracle Database, Amazon Relational Database Service, MySQL, etc., that provides excellent storage management, fast data access, data protection, multi-user support, and security.
Creating Physical Database
Create the physical database and the logical structures with database schema objects like tables, indexes, views, etc.
Robust ETL Tool
Using a robust ETL tool source data to target data mapping, extract source data, clean and transform operations on the data, load data into the data mart and create and store metadata.
Put the data to use – querying the data, creating reports, and charts, and publishing them. Make it easier for even non-technical users to access. Set up and maintain database structures and set up API and interfaces if required.
User Access Management
Perform ongoing user access management, system optimizations and fine-tuning, add and manage new data into the data mart, plan recovery scenarios and ensure system availability if the system fails.
You can address the data-silo challenges with data pipelines that can populate in a single source of truth data lakes while maintaining quality and consistency. As a result, you can manage explosive data growth in an efficient and scalable manner, leading to tremendous opportunities AI and machine learning have to offer in your digital transformation journey. It increases your ability to share data effectively and accelerates time to business insights. With our data engineering consulting services, we will help you build and manage infrastructure for data movement and its strategic usage.
Extract data from RDBMS like MySQL, Oracle Database and Amazon Relational Database Service, CRMs such as Salesforce and HubSpot, ERPs like SAP and Oracle, social media management tools, and even IoT device sensors.
Eliminate most manual steps from the process and enable a smooth, automated flow of data from one stage to another, thereby enabling real-time analytics to help you make faster data-driven decisions.
Transform & Process Data
Extracted data from various sources is then transformed, augmented, filtered, grouped, aggregated, and deposited at its destination.
Move the processed data to the destination – typically a data lake or data warehouse for analysis.
How We Do It
- Project Overview
- Goals and Audience
- Project Scope
- Features and Requirements
- Platform Selection
- Process Flows
- Story Board
- UI/UX Design
- User Testing
- Training and Roll-out