Data Platform Modernization Services

DATA WAREHOUSING

Harvesting variety of data from LOB applications and 3^rd party data sets could be a painstaking process. Over time, if not done right, this could lead to lack of trust on your data among consumers. Softcrylic focuses on building reliable data eco systems with robust data collection and processing pipelines applying strong engineering and data governance principles. Our solutions apply analytics using frameworks and proprietary tools across on-premise and the cloud environments.

Softcrylic focuses on building Single Source of Truth Data Lakes, Data Warehouses, leading into Data Marts that power Visualization dashboards using Microsoft PowerBI. With Our vast experience in implementing successful Data Streaming methods for the Fortune 500 companies, you can be rest assured to be on the fast track to collect customer touchpoints on your digital properties.

Softcrylic’s Data Scientists can help your organization get ahead of the curve when it comes to Advanced Analytics, AI, and Machine Learning.

We build custom solutions for on-prem, Cloud, or Hybrid deployments. As certified AWS and Microsoft Azure partners, our engineers use the latest tools and services available on these cloud platforms and assist you in modernizing your data platform.

Data Platform Modernization Services

Data Modeling & Governance
Data Platform Audit & Cloud Migration Strategy
Data Warehouse Design & Setup
Data Pipelines & ETL Workloads Development

Data Modeling & Governance

Data Model is the blueprint of all the data your business generates. Organizing it the right way is the foundational building block of data reliability (example: Single Source of Truth). With a good model in place, you can expect right insights that can help make your business more efficient.

Our Expertise

Data Modeling:

Developing traditional data structures, dimensional datasets, unstructured bigdata and modelling of databases for storage and access.

Data Governance:

We bring People, Process and Technology together to achieve Data Democratization and Standardization to improve visibility, quality and confidence in the data used in your enterprise to make decisions.

Data Quality Management:

Captures data anomalies as it happens, saving you valuable time and cost to correct mistakes down the road.

Our Services

Data Modeling Service: From existing and new data structures to Data Models that can take advantage of modern data platform architecture.
Consulting on Data Governance: Bring people, data technology and process together to achieve Data Democratization.
Data Quality Solutions: Machine Learning based data quality methods to achieve Single Source of Truth data lakes.

Data Platform Audit & Cloud Migration Strategy

According to industry studies, data volume is supposed to double every 2 years. Companies are challenged with ever increasing, diverse data types ingested on a daily basis from line of business applications, e-commerce, enterprise systems, sales and marketing and, particularly, 3rd party data which is crucial to understand your customer behavior.

Data captured not properly in the system could lead to chaos, long-running IT projects and wastage of valuable man hours.

Our Expertise

Azure: Azure Data Lake, Azure SQL, Power BI, Azure Machine Learning

AWS: AWS Lake Formation, AWS RedShift, SageMaker and Comprehend.

Data Lake Design and Development: setup Data Lakes and provide the plumbing required to get various data flow into the Data Lake
Design and setup Data Exploration and Curation methods, leading to a Single Source of Truth
Setup Data Warehouses on the On-Premise, Cloud or Hybrid
Advanced Analytics
- Azure
- AWS (SageMaker)

Our Services

We can review your existing data platform from the perspective of where you can improve data collection, aggregation and transformation processes and provide roadmap to migrate to modern data platforms using on-prem, the cloud (Azure/AWS) or hybrid approaches.

Data Warehouse Design & Setup

Once various data sources are brought into a Data Lake, specific warehouses need to be developed to support data exploration needs of analytics teams, and data models and learning algorithms to be built for data science projects.

There are various ways to build data warehouses - traditional RDBMS to NoSQL to columnar and MPP database architecture.

Our Expertise

AWS Redshift, Azure SQL, AWS Aurora Microsoft SQL Server, MySQL & DocumentDB /MongoDB

Our Services

Design and development of on premise and cloud data warehouse solutions, monitoring and on-going support services.

Data Pipelines & ETL Workloads Development

Designing data pipelines for capturing audience engagement on a digital property to integrations of hundreds of internal/external data sources in an enterprise data warehouse environment could be a daunting task. At Softcrylic, we approach these challenges in a methodical way and by eliminating the noise and simplification of the processing tasks using modern trends and technologies. Your data pipeline tasks and ETL workloads will run very smooth, either on-prem or on the cloud

Our Expertise

AWS, Azure and Google Cloud Platform
Talend, Microsoft SQL Server & MySQL

Our Services

Advanced Analytics Reporting and Digital Data Management
Industry solutions for Advertisers and Advertisement Agencies for campaign performance optimization
Talend, Microsoft SQL Server & MySQL

Softcrylic’s Proven Process to Data Platform Modernization

Softcrylic’s proven processes are our ever-improving lessons from engagements with SMEs to Fortune 500 companies on their Digital Transformation journey. Often times, IT consulting partners with Global Delivery model value proposition come with Tech Know-Hows. Our biggest differentiator is the business knowledge in the industry verticals, ability to bridge any gap between people & processes and cutting-edge technology skills.

With vast experience in E-Commerce, Customer Analytics, Application & Data Engineering, we bring a unique value proposition:

Business Knowledge + Data Governance + Data Technologies = Data Platform Modernization

Softcrylic's proven process to data platform modernization

Softcrylic’s Proven Process Outcomes

Joint Workshop

Bring stakeholders and technology teams together
Opportunity to seize and finalize the requirements with a thirty party (Softcrylic)
Most Viable Product with high-level architecture and timeline & budget

Agile Scrum Development

Agile/Scrum usually applies in Software Engineering Product Development
Data Engineering projects can also benefit from faster & incremental data insights during the upstream and processing stages and not until BI results are ready

Joint Development Team

We work with your existing team members, we have always! We will be ONE team, so the knowledge of development doesn’t leave your team
Based on the engagement size, there will be a Softcrylic Service Delivery Manager deployed on the projects to collaborate with various teams and keep the project on course

Data Governance & Security

Great understanding of your data (dictionary, format & quality standards)
Data Quality Automation and Anomalies detection (Shift-left Testing) result in data quality issues captured at upstream and not downstream!
Single Source of Truth (SSOT) Data Lakes / Data Warehouses

DevOps

Offshore DevOps brings cost-effective operations to your data platform maintenance
24/7 Support

Case Study

Softcrylic supported a large scale digital marketing and media agency to create a robust reporting platform for one of their largest clients using a combination of data marts and Power BI. Initially focused on delivering campaign reports in Power BI turned out to be a comprehensive Data Platform Modernization Project. Post Data Platform Modernization, the client now enjoys a reliable data foundation, automated reporting, data visualization and explores advanced analytics initiatives.

Data Silos to SingleSource of Truth

Data Quality Issues inMedia Supply Chain

Campaign Performance &Conversion Metrics

Modern Data Platform–agility & scalability