Overview
A cloud data platform is a unified, pervasive set of services that houses all your data and puts it to work, securely and consistently, in the cloud. A modern data platform will save time and money; it will also allow you to have all your data in one place, making it easier to understand how to assess your data in a unified matter.
iSmile Technologies offers a 3-week engagement that delivers a modern data platform, Enterprise Platform, Data Analytics platforms. Deployed on Azure, this platform enables Advanced Analytics, ML and Big Data transformations. We focus on your organization’s Data Strategy by substantiating key business drivers, from which we identify and priorities high-value use cases. Examples include automating the ingestion of disparate data sources and surfacing insights in a Power BI report or building a PowerApps application that allows business users to interact with critical datasets. We provide an extensible framework, using Azure services such as Databricks, Synapse and Data Factory.
We implement an end-to-end data pipeline that includes ingestion, transformation, and serving layers during this engagement. This can accelerate your analytical use cases’ time-to-market.
Benefits
- Remove Data Silos – Consolidate your data across the organization and extract new insights from a sole source of truth.
- Self-Service Analytics Reporting – Enabling the ability to make critical business decisions based on accurate, timely insights, reducing time-to-value.
- Data Management & Governance – Your platform comes with enterprise security, cost controls, scalability, and data management tools.
Agile Approach
- Choose the Outcome – We engage with you identifying a strategic use case before POC implementation
- We Build the Platform – We build a modern data platform using secure, highly scalable Azure services
- Get Insights – We surface the insights in Power BI
Plan of Action
Week 1
- Introduction and Planning
- Data sources & Data Structures
- Finding reports
- Data Strategy – A plan designed to improve all the ways you acquire, store, manage and use data to meet your business goals
- Future State Architecture
- Share infrastructure design and Azure pricing estimate.
- Sign off on design and pricing
Week 2
- Implementation – Azure foundation and Data Platform setup using terraform templates and DevOps
- Assessments of initial use cases and prioritization
- Integration of data sources
- DW setup: Azure snap, Snowflake, Azure SQL data warehouse, Azure data bricks (If needed)
- Current state vs future
- Comparison with a road map to success
- High-level reference architecture
Week 3
- Critical success factors, timing, costs
- A streamlined working data platform for a first use case
- Includes data platform set up, pipelines, data model, and data cleansing and integration
- Can include visualizations of analytic outputs
- Integrate ETL connectors (Segments, Five Tran, ThoughtSpot)
- AI Model deployment
- Handover and user adoption
Deliverables
Standardized, best-practice Infrastructure
- Azure setup using ARM templates (infrastructure-as-code)
- Version controlled using Azure DevOps, allowing deployment in an automated manner
- Multiple environments – Development, test, staging and production
Accelerate BI & analytics projects
- Infrastructure in place to cater to self-service dashboards as well as paginated report packs
- Reusable Data Factory ETL templates with built-in logging
- Simplifies future analytics & business collaboration through tight integration with the Power Platform
About Us
At iSmile Technologies, we strive to make our customers succeed by leveraging our industry experience and using a collaborative approach. We deliver innovative data and AI solutions to help organizations build a data-driven culture and empower their business decisions with insights.
Faq's
A modern data platform is an integrated system of technologies that enable organizations to ingest, store, process, and analyze large volumes of data from a variety of sources. With the exponential growth of data, businesses need a modern data platform to gain insights, improve decision-making, and stay competitive.
A 3 Week POC is a proof-of-concept engagement that aims to demonstrate the feasibility and value of a modern data platform in a short period. It involves identifying the client's key business challenges, defining the scope of the POC, designing a customized architecture, and implementing it in a limited environment. The POC typically lasts for three weeks, after which the client can evaluate the results and decide whether to move forward with the full implementation.
A 3 Week POC offers several benefits, including:
- Rapid validation of the feasibility and value of a modern data platform
- Reduced risk and cost compared to a full-scale implementation
- Improved understanding of the platform's capabilities and limitations
- Enhanced collaboration between the client and the vendor
- Increased stakeholder buy-in and support for the project
The process for a Custom Modern Data Platform - 3 Week POC involves the following steps:
- Discovery: Identify the client's key business challenges and data sources
- Design: Create a customized architecture and solution design
- Development: Implement the solution in a limited environment
- Deployment: Test and validate the solution and prepare for the client's evaluation
- Evaluation: Present the results to the client and discuss the next steps
To ensure a successful 3 Week POC engagement, we recommend the following:
- Clearly define the scope and objectives of the POC
- Engage key stakeholders and obtain their buy-in and support
- Establish clear communication channels and expectations
- Use agile development methodologies to iterate and refine the solution
- Conduct thorough testing and validation before presenting the results to the client.
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