---
# Combining Big Data & Cloud for business transformation
**URL:** https://www.sigmoid.com/blogs/big_data_cloud_the_perfect_combination_for_business_transformation/
Date: 2019-07-02
Author: Sigmoid
Post Type: post
Summary: Even after its introduction to the world in the 1970s by IBM, “cloud” was still a term used more by weatherman than...Read More...
Categories: Cloud Transformation
Tags: AI/ML, Data Management
Featured Image: https://www.sigmoid.com/wp-content/uploads/2023/01/Combining-Big-Data-Cloud-for-business-transformation-banner.png
---
Even after its introduction to the world in the 1970s by IBM, “cloud” was still a term used more by weatherman than IT and system engineers. All that changed in 2006 when Google CEO Eric Schmidt introduced the term “cloud computing” at an industry conference. Since then big data on cloud has been largely explored by companies to bring scalability and functionality to their workings.
## How was life before the advent of cloud platforms?
Most large businesses in the past built, ran and managed their own server farms to extract value out of massive data. This old school approach no longer makes economic sense for any organization that is serious about achieving business goals using complex Machine Learning and AI Algorithms on massive data sets.
With increasing reliance on data to provide answers for more and more Business cases, organizations today try to fulfill the demands made by data itself, with the best possible infrastructure. As data grows, so do the systems & processes that are required to manage it. Just to give you an idea, IDC(International Data Corporation) predicts that by 2020, 50% of all business analytics software will incorporate prescriptive analytics built on cognitive computing technology, and the amount of high-value data will double, making 60% of information delivered to decision makers actionable. This is where the cloud comes in or rather data goes to. Big data on cloud resonates more with businesses to match the scale of data.
Since cloud platforms are the way forward, it’s best to understand and appreciate how impactful migrating your on-premise infrastructure onto a cloud is. Here are the top 5 reasons why you should consider migrating to a cloud platform or continue to evaluate the best options in the market if you’re already on it.
**Lower TCO**
[Cloud’s IaaS](/cloud-migration/) (infrastructure –as – a service) model allows companies to eliminate the high cost of on-premise infrastructure and turns it into operating expenditure. No upfront investments are needed to set up data servers or warehouses in anticipation of a future need.
**Reduction in payment with time**
Yes, you read that right. So what happens in [cloud](/blogs/etl-on-cloud-transforming-big-data-analytics/) computing is that cloud resources are shared by many other companies. As more companies get on the cloud, which they are, amortization kicks in distributing the costs among all users and the amount you spend on your cloud services keep reducing!
**Higher Uptime**
The best IT guys find it hard to provide server uptime and reliability that most large cloud providers can, which is mostly upwards of 99.9%. On top of this, they back it with credits if the monthly uptime drops below a certain threshold.
**Increased Scalability**
Large volumes of data require high processing power and storage. Cloud is best to [swiftly adapt](/blogs/value-of-analytics-with-cloud-data-warehouse/) to changing volumes of data so that sudden spikes in data size or processing requirements are efficiently managed.
** Increasing Data Security**
If you think this is one of the challenges that prevent you from hosting your company’s data on the cloud, read on. Cloud computing providers are facing competition from their rivals and differentiating on the basis of data security gives one player a certain edge over the others. This is because they are responsible for large volumes of critical [customer data](/customer-analytics/) and have a lot in stake if a security breach occurs. So their security experts are abreast of the latest security standards such as HIPAA, PCI, ISO, Sarbanes-Oxley, and many more.
Apart from the advantages mentioned above, there are many more benefits of the cloud such as better disaster recovery, ease of automation, impact on the environment, flexibility in usage, etc. The list goes on.
### So who are the key players?
AWS – Amazon Web Services, Microsoft’s Azure & GCP – Google Cloud Platform are in contention in a fierce leadership race.
Other cloud services in contention are IBM cloud, VMware Cloud on AWS, Oracle big data cloud, and Alibaba cloud. Now that you’ve had a glimpse of what cloud can bring to your business, its best to seek help from an expert to make sure you realize all the benefits that were listed and more and most importantly to choose a platform that is right for your business context.
## About the Author
Sudeep is a Senior Pre-Sales Manager at Sigmoid. He has a decade of experience in providing Data driven solutions for companies across AdTech, Retail & CPG in their digital transformation journey.
[lc_the_tags]
## Featured blogs
[lc_get_posts post_type="post"
posts_per_page="4" orderby="date" output_view="lc_get_posts_mycustom_view" output_number_of_columns="4"
output_wrapper_class="row" output_article_class="shadow" output_hide_elements="Excerpt"
output_excerpt_length="0" output_excerpt_text="Read More" output_heading_tag="span"
output_featured_image_format="thumbnail" output_featured_image_class="card-img-left" ]
## Share
[addtoany]
Subscribe to get latest insights
## Talk to our experts
Get the best ROI with Sigmoid’s services in data engineering and AI
## Suggested readings
[View all](/blogs/)
#### [Data Science and Cloud – The future of analytics](/blogs/data-science-and-cloud-future-of-analytics/)
[Read blog](/blogs/data-science-and-cloud-future-of-analytics/)
#### [Scoping Exercise for guaranteed Big Data project success!](/blogs/critical_exercise_that_guarantees_big_data_project_success/)
[Read blog](/blogs/critical_exercise_that_guarantees_big_data_project_success/)
#### [Sigmoid’s 7 Step Approach for Big Data Project Success](/blogs/sigmoids_7_step_approach_for_project_success/)
[Read blog](/blogs/sigmoids_7_step_approach_for_project_success/)
---
## Categories
- Cloud Transformation
---
## Navigation
- [WordPress.org](https://wordpress.org/)
- [Documentation](https://wordpress.org/documentation/)
- [Learn WordPress](https://learn.wordpress.org/)
- [Support](https://wordpress.org/support/forums/)
- [Feedback](https://wordpress.org/support/forum/requests-and-feedback)
- [Sigmoid](https://www.sigmoid.com/)
- [Community](https://community.wpmanageninja.com/portal/space/fluent-forms/home)
- [Docs](https://wpmanageninja.com/docs/fluent-form/)
- [Developer Docs](https://developers.fluentforms.com/)
- [Documentation](https://imagify.io/documentation/)
- [Rate Imagify on WordPress.org](https://wordpress.org/support/view/plugin-reviews/imagify?rate=5#postform)
- [Manage](admin.php?page=litespeed)
- [Settings](admin.php?page=litespeed-cache)
- [Image Optimization](admin.php?page=litespeed-img_optm)
- [Company](/about-sigmoid)
- [Newsroom](/newsroom)
- [Life at Sigmoid](/careers)
- [Takshashila](/takshashila)
- [Contact Us](/contact-us)
- [AI Strategy Blueprint your AI advantage](/enterprise-ai-strategy/)
- [Generative AI Drive innovation with Generative AI](/generative-ai/)
- [Responsible AI Build trust with ethical AI practices](/responsible-ai-in-enterprise/)
- [Agentic AI Reshape business with scalable agentic systems](/agentic-ai-solutions/)
- [AI Managed Services Ensure reliable AI performance](/ai-managed-services/)
- [Advanced Analytics Transform your business with data-driven insights](/advanced-data-analytics-solutions/)
- [Start Assessment](/agentic-ai-readiness-index/)
- [Data Strategy Strong data foundations for scalable AI](/data-analytics-strategy/)
- [Data Management Leverage data as a strategic asset](/ai-data-management-services/)
- [Data Ops Automate data for speed and quality](/data-devops/)
- [Data Engineering Deliver insights faster with scalable pipelines](/data-engineering/)
- [Cloud Transformation Modernize data to maximise efficiency](/cloud-migration/)
- [Download Whitepaper](/ebooks-whitepapers/building-data-products-in-a-data-mesh-to-drive-business-value/)
- [Data Modeling Structure data for better decisions](/data-modeling-services/)
- [Data Visualization Transform data into actionable stories](/data-visualization-service/)
- [BI Migration Enhance decision making with modern BI tools](/bi-migration/)
- [Data Observability Build trust with healthy, accurate data](/data-observability/)
- [Automated Insights Make smarter decisions with auto-generated insights](/automated-insights/)
- [Download Whitepaper](/ebooks-whitepapers/power-bi-hacks/)
- [CPG & Retail End-to-end analytics for planning, operations, and commercial excellence](/industries/cpg-analytics/)
- [Life Sciences Trusted intelligence across clinical, commercial, and operational workflows](/industries/life-sciences/)
- [Financial Services AI-powered analytics for risk, compliance and customer experience](/industries/banking-financial-analytics-services/)
- [Read case study](/case-studies/data-clean-room-enables-real-time-insights-to-improve-operational-efficiency/)
- [MediaIQ Advanced platform for in-flight marketing measurement](/accelerators/sigmoid-mediaiq-multi-touch-attribution-tool/)
- [CampaignIQ AI-driven platform for optimized campaign budget allocation](/accelerators/sigmoid-campaigniq/)
- [AssistBot GenAI email assistant that automates human-like responses](/accelerators/sigmoid-assistbot-for-ai-email-assistant/)
- [CreativeBot GenAI tool for personalized and brand-aligned creative design](/accelerators/sigmoid-creativebot/)
- [SocialBot GenAI platform to analyze digital conversations and trends](/accelerators/#marketing|socialbot)
- [DemandIQ Predict trends accurately and optimize inventory management](/accelerators/sigmoid-demandiq/)
- [NetworkIQ Track and optimize logistics operations in real-time to quickly address disruptions](/accelerators/sigmoid-networkiq/)
- [SupplyIQ End-to-end platform to optimize supply chain operations](/accelerators/sigmoid-supplyiq/)
- [ProcurementIQ Automated procurement operations for maximum savings, compliance and efficiency](/accelerators/sigmoid-procurementiq/)
- [RapidML Accelerated deployment for machine learning models](/accelerators/sigmoid-rapidml/)
- [DataGuard Comprehensive platform for proactive data quality management](/accelerators/data-quality-tool-sigmoid-dataguard/)
- [CloudPulse Cloud cost optimization platform with multi-cloud management](/accelerators/sigmoid-cloudpulse/)
- [RAPID GenAI foundation with built-in governance and cost clarity](/accelerators/sigmoid-rapid/)
- [AnalyticsBot GenAI based platform to streamline decision-making in analytics](/accelerators/sigmoid-analyticsbot/)
- [DataConnect Seamlessly ingest, integrate and harmonize data from diverse sources](/accelerators/sigmoid-dataconnect/)
- [Reconica AI-powered data harmonization and reconciliation engine](/accelerators/sigmoid-reconica/)
- [ConverseBot GenAI driven insights generation for automated insights from reports](/accelerators/#sales|conversebot)
- [iNRM Cross-lever revenue growth optimization platform](/accelerators/sigmoid-inrm/)
- [AssortmentIQ Optimize shelf layouts and assortment mix at scale with AI-based insights](/accelerators/sigmoid-assortmentiq/)
- [Read Whitepaper](/ebooks-whitepapers/building-agentic-ai-chatbots-for-business-process-transformation/)
- [Listen Podcast](/events/podcast/how-jack-in-the-box-is-redefining-personalization-and-supply-chain-with-ai/)
- [Blogs](/blogs/)
- [White Papers](/ebooks-whitepapers/)
- [Case Studies](/case-studies/)
- [Podcast](/events/podcast/#Podcasts)
- [Read Blog](/blogs/the-genai-adoption-triad-responsibility-ethics-and-explainability/)
- [ConverseBot](/accelerators/#sales|conversebot/)
## Tags
- AI/ML
- Data Management
---
## Footer Links
- [Talk to our AI experts](/contact-us/)
- [AI Strategy](/enterprise-ai-strategy/)
- [Agentic AI](/agentic-ai-solutions/)
- [Generative AI](/generative-ai/)
- [AI Managed Services](/ai-managed-services/)
- [Responsible AI](/responsible-ai-in-enterprise/)
- [Advanced Analytics](/advanced-data-analytics-solutions/)
- [Data Strategy](/data-analytics-strategy//)
- [Data Engineering](/data-engineering/)
- [Data Management](/ai-data-management-services/)
- [Cloud Transformation](/cloud-transformation/)
- [Data Ops](/data-devops/)
- [Data Visualization](/data-visualization-service/)
- [Automated Insights](/automated-insights/)
- [BI Migration](/bi-migration/)
- [Data Modeling](/data-modeling-services/)
- [Data Observability](/data-observability/)
- [CPG & Retail](/industries/cpg-analytics/)
- [Financial Services](/industries/banking-financial-analytics-services/)
- [Life Sciences](/industries/life-sciences/)
- [Case Studies](/case-studies/)
- [Thought Leadership](/ebooks-whitepapers/)
- [Blogs](/blogs/)
- [Company](/about-sigmoid/)
- [Newsroom](/newsroom/)
- [Accelerators](/accelerators/)
- [Careers](/careers/)
- [Privacy Policy |](/privacy-policy/)
- [Cookie Policy](/cookie-policy/)