Modernize to Monetize: Transform Your Enterprise Data Ops for a Secure Digital Future
About 75% of all databases will be deployed or migrated to cloud platforms by 2022, according to Gartner, Inc.
Analytics is becoming a significant catalyst for organizational digital transformation. Executive leaders should promote the creation of business strategies and operational models that conceive data-driven business opportunities and orchestrate organizational action.
Data can either be the heartbeat of today’s enterprises or the Achilles’ heel with ineffective management, holding back potential growth and innovative, fast delivery of end user experiences. Without an advanced DataOps at play including a modern data architecture and data governance foundation, businesses will have a difficult time layering on advanced analytics capabilities or implementing emerging technologies. In order to drive intelligent data-based decision making for the most competitive results, firms need to modernize their static and dynamic dataflows, unite applications with existing and new data sources, and enact strong data governance protocols.
By 2023, one-third of enterprises had completed Data Modernization initiatives. By 2030, this figure is expected to reach 80%
90% Of Enterprises in Financial Services are already in the process of modernizing their Data
Technological advancements like cloud and big data analytics will fuel Data Modernization
A modern data architecture ensures that your organization’s data scales and is:
Accessible
Fast and easy to access, manage, analyze and deploy
Cloud-native
Able to use, integrate data from across and outside the business into the cloud
Reliable
Compliant with data security and privacy regulations
Data Modernization with Cloud4C: Driving results for a Transformative Digital Future on the Cloud
Cloud4C, as the world’s leading application-focused cloud managed services provider, guarantees fail-proof migration, modernization, and management of databases and data workloads across multiple ecosystems and mission-critical legacy systems, platforms on the cloud augmented with state-of-the-art automation and security. We offer stringent optimization frameworks to make modernization cost-efficient for any enterprise.
As part of the Data Modernization, Cloud4C offers end-to-end data modernization services, which include database migration services, database management services, managed advanced data analytics & BI.
Data Modernization helps moving data from local on-premises legacy systems to a more manageable and scalable cloud
Data Modernization increases business agility by bringing legacy software to the cloud
Data Modernization helps improve customer experience by enabling new services and processes
Cloud4C’s cloud-powered data modernization approach provides a highly accessible, useful and compliant solution and services suite that delivers cost savings on data management operations and powers the analytics to enhance accurate business forecasting. With thousands of associates, Cloud4C’s experts are able to mobilize quickly to realize our clients’ data modernization vision. Our innovative cloud strategy includes provider partners Amazon Web Services, Google Cloud, Microsoft Azure, Oracle Cloud, and more.
Typical results to expect:
A deployed platform within one month
40% decrease in data storage costs
30-60% faster time to market
ROI in six months
4x faster transition
Our data modernization solutions portfolio pinpoints bottlenecks in supply chains and helps improve product assortment, pricing, forecasting and marketing channels, driving costs down and revenues up. New business models monetize data and generate direct revenues from data sets, insights and analytics-based services and a resilient data infrastructure and process capabilities enhance customer service and sales.
Eager to modernize your dataflows on cloud? Connect with our experts today
Disruption-Free Operations vs Modernization: Is it a Dilemma at All to Consider? Decoding the ‘Why’ Behind
There is no denying that technology has its own shelf life. Enterprises who would want to continue with legacy on-premises will eventually have to face the hard reality of software and hardware not being supported by vendors. This inherently applies to all databases and data workloads of legacy systems as well, often leading to performance and security issues. Any day, investing in on-premises infrastructure is cost-intensive.
It is time for enterprises to move away from manual data handling. As the data is growing exponentially, it will be extremely difficult to fulfil the compliance requirements. With the GDPR coming into action, enterprises must be very careful as the risks can cost more than ever.
The reducing IT budgets are pinpointing the need for enterprises to spend as less as possible on legacy mission-critical systems and technologies, applications. The time has come to be more agile and innovative with data. It is clear that handling of data the old way is not the way forward.
Exploring In-depth Full-scale Benefits of Data Modernization
A variety of advantages are available to businesses engaging in Data Modernization. Among them, it includes the use of more reliable databases that are more scalable and more adaptable. Streamlining processes to cut costs and boost margins.
The immediate gain is reduced costs by enabling the transfer of data from in-house data centers to more powerful RDMBS, NoSQL, and Hadoop-based systems. This will mean higher agility that comes from modifications that can be implemented rapidly to support corporate objectives. In addition, greater production and lower maintenance expenses are beneficial to the enterprise. Most modern databases have graphical user interfaces (GUIs) that simplify database administration, process management, and other tasks. As a result, businesses may devote their IT resources to more important initiatives since legacy database maintenance is no longer a concern. Newer databases are also simpler to manage, thanks to ad hoc reporting and easy navigation.
Simplified Management
Enterprises must modernize their legacy databases to be ahead in the race of digital transformation. Cloud4C with its Data Modernization helps enterprises eliminate the cost of maintenance and administration. Cloud4C reduces the amount of on-premises hardware and hence makes maintenance easy by restricting it to applications alone, instead of entire systems.
Streamlining operations
With Data Modernization, Cloud4C makes moving data from legacy databases to modern databases cost-effective and easily scalable. As part of the Data Modernization, Cloud4C uses technologies such as AI and ML to evaluate the performance of networks and applications, and improve security by quicker and earlier detection of threats.
Security & Compliance
With Cloud4C’s Data Modernization, enterprises can reduce the risk of data being compromised, modified or inadvertently disclosed. It ensures that the enterprises comply with the industry-specific regulatory frameworks, thanks to auditable processes and controls.
Connect with our Data Modernization Experts to ride the transformation wave
It’s Time to Take Charge of Your Data: Cloud4C’s Three Pillars of Database Modernization Offerings
As part of the overall data modernization services, Cloud4C offers database migration services, database management services, managed advanced data analytics & BI. Cloud4C’s three-pronged approach ensures that the integrity of data is intact. To adhere to industry-best practices and frameworks, Cloud4C Migration Factory is deployed to ensure highly secure, automated, and cost-efficient migration. Similar standardized, advanced strategies are employed to achieve the modernization and management phases including our AIOps-powered managed operations. With our military-grade security, we ensure safer data transfer, storage, and backup with tools, data encryption, testing plans, and access control.
- Assessment and plan
- Cloud4C Migration factories- Faster migration
- Database of your choice
- Data security during migration
- Complex & Large scale migrations
- High availability and backup
- Personalized and customized approach
- Database tuning, Database health checks, Disaster Recovery Maintenance and Monitoring
- Proactive threat detection and prevention powered by AI and ML
- Near Zero Management
- Automated and Optimized- First time and every time
- Data preparation- Single source of truth, Data lakes, Data Marts
- Data Visualization
Kickstart your Enterprise Transformation Journey with Information. Transform your Data Persona on the Cloud
Cloud4C’s End-to-end Data Modernization Services
We offer a discovery workshop to gather stakeholder opinions, assess data warehouse readiness, collect server and application information. Subsequently, scenario and workloads identification will be done for a successful data modernization experience without any disruption to operations.
Businesses can seamlessly migrate, modernize, and manage their databases from legacy ecosystems, servers, applications, platforms on multiple public, private, and hybrid cloud options with ease. Store and administer dataflows from a single cloud or spread across multiple cloud architectures and mission-critical private or on-prem ecosystems for best data outcomes. Bolster security and continuity with state-of-the-art solutions such as MDR, EDR, SIEM-SOAR, Advanced Threat Protection, Threat Intelligence, or Cloud4C’s proprietary Self Healing Operations Platform (SHOP).
A proven, cost-effective, industrialized, and fully packaged service for organizations to realize greater certainty in migration. It's a highly automated Migration Factory approach with a low-cost workforce and tried-and-tested tools, eliminating delays and delivering quality results, on time, every time.
We streamline homogeneous migrations such as from Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as from Oracle to Amazon Aurora.
We provide automated administrative solutions to facilitate database auditing to capacity management to platform-supported disruption management, upgrading, and patching - easing complex and voluminous migrations without data loss and downtime.
We offer a highly-secured data migration with complete backup before the process, encrypted data transfer and controlled access during the entire process - all the while maintaining integrity of your data.
Cloud4C helps enterprises with fully managed database functionalities on the cloud, integrated with multiple ecosystems with ease. Firms can either choose to shift and manage their data flows from a single cloud source or spread it across multiple landscapes, monitoring them from universal dashboards. Cloud4C helps define the architecture based on business needs, implement the same, and fully manage all data functionalities using AIOps-powered services.
We enable continuous replication of enterprise data (asynchronous and synchronous data replication, commvault replication, etc.) with high availability (99.9%), and consolidate databases into a petabyte-scale data warehouse.
We continually customize, optimize the architectures for planned and managed database configuration, customize rule-based policies for users/ queries, and automate scripts for efficient database management, personalizing managed services. We make proactive tuning changes to your database, server or instance simultaneously. Our automated health checks identify performance bottlenecks, root cause, and remediation steps. We offer Disaster Recovery to effectively assess and mirror enterprise databases, ensuring continuous cloud backup and speedy recovery.
With ML and AI, we detect any potential threats/vulnerabilities, take corrective measures, and make the system more robust. This is made possible with security tools native to leading cloud platforms and third-party applications, helping in combating foreseen and unforeseen cyber-attacks.
Deploy advanced business intelligence on your datapools, data lakes, and databases on the cloud or across ecosystems to generate smart operational insights. Cloud4C helps integrate cloud-native tools and technologies to enable real-time data processing and insights generation, presenting all critical data on intuitive dashboards.
To bring predictive power to your business and do a deeper analysis of your data, certified data scientists at Cloud4C can help your organization get ahead of the curve when it comes to data processing, visualization, and presentation.
Leverage data insights from a single source of truth such as Data Lakes, Data Warehouses, leading into Data Marts that power Visualization dashboards, and the ability to process data on the go.
Support of intuitive and interactive dashboards equipped with data analytics, to make smart decisions through real-time monitoring and visual exploration.
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Cloud4C Data Migration Factory
A proven, cost-effective, industrialized, and fully packaged service for organizations to realize greater certainty in migration. It's a highly automated Migration Factory approach with a low-cost workforce and tried-and-tested tools, eliminating delays and delivering quality results, on time, every time.
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Homogeneous and Heterogeneous Migrations
We streamline homogeneous migrations such as from Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as from Oracle to Amazon Aurora.
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Complex & Large Scale Migrations
We provide automated administrative solutions to facilitate database auditing to capacity management to platform-supported disruption management, upgrading, and patching - easing complex and voluminous migrations without data loss and downtime.
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Data Security During Migration
We offer a highly-secured data migration with complete backup before the process, encrypted data transfer and controlled access during the entire process - all the while maintaining integrity of your data.
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Multi-ecosystem Database Managed Services
Cloud4C helps enterprises with fully managed database functionalities on the cloud, integrated with multiple ecosystems with ease. Firms can either choose to shift and manage their data flows from a single cloud source or spread it across multiple landscapes, monitoring them from universal dashboards. Cloud4C helps define the architecture based on business needs, implement the same, and fully manage all data functionalities using AIOps-powered services.
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High Availability & Backup
We enable continuous replication of enterprise data (asynchronous and synchronous data replication, commvault replication, etc.) with high availability (99.9%), and consolidate databases into a petabyte-scale data warehouse.
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High Performance, Hyperscalable Outcomes with Continual Customization
We continually customize, optimize the architectures for planned and managed database configuration, customize rule-based policies for users/ queries, and automate scripts for efficient database management, personalizing managed services. We make proactive tuning changes to your database, server or instance simultaneously. Our automated health checks identify performance bottlenecks, root cause, and remediation steps. We offer Disaster Recovery to effectively assess and mirror enterprise databases, ensuring continuous cloud backup and speedy recovery.
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ML & AI Powered Data Threat Management
With ML and AI, we detect any potential threats/vulnerabilities, take corrective measures, and make the system more robust. This is made possible with security tools native to leading cloud platforms and third-party applications, helping in combating foreseen and unforeseen cyber-attacks.
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Managed Advanced Data Analytics & BI
Deploy advanced business intelligence on your datapools, data lakes, and databases on the cloud or across ecosystems to generate smart operational insights. Cloud4C helps integrate cloud-native tools and technologies to enable real-time data processing and insights generation, presenting all critical data on intuitive dashboards.
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Data Lake Activation
To bring predictive power to your business and do a deeper analysis of your data, certified data scientists at Cloud4C can help your organization get ahead of the curve when it comes to data processing, visualization, and presentation.
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Data Preparation
Leverage data insights from a single source of truth such as Data Lakes, Data Warehouses, leading into Data Marts that power Visualization dashboards, and the ability to process data on the go.
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Data Visualization
Support of intuitive and interactive dashboards equipped with data analytics, to make smart decisions through real-time monitoring and visual exploration.
Fail-proof Implementation at Highest Availability and Cost-Optimized End Outcomes: Presenting the Data Modernization Stages
As part of Data Analysis, we perform entity mapping, where we map source entity attributes to target entity attributes. We help identify any unmapped attributes which may result in data loss. We develop a migration strategy and design which mentions the downtime required due to migration, required staging storage/ hardware, migration impact on target database size, and tracking updates to source during migration. We follow the proof of concepts as defined in the migration strategy document. We also help enterprises classify data of standards and analyse the ease of maintainability based on the analysis report.
As part of the pre-migration, we check on the data inconsistency which highlights the possible inconsistency of an entity against predefined standards. We take care of the Data redundancy, data stability, data type, data length, data cleansing and more. With the pre-migration process, we keep track of the amount of redundant data present in legacy databases. We perform data cleansing based on the findings of the inconsistency check and stability check.
As part of transform and migrate, we perform the data transformation based on the transformation rules. Along with it, we also migrate the data from source to target. We help report and resolve the log and report errors during migration and log and report status of migration.
As part of the continuous migration, we capture all the changes in the source system. We also propagate the changes to the target system. We help with the re-designing of the workloads from proprietary ETL (Infa, etc.) to native cloud/open source ETL (e.g., Spark/Lambda/Glue). We take care of moving warehouse layer storage to cloud, error-handling during migration, moving Data marts to new platform, reporting from new platform, On-board other LOBs and On-board Analytical use cases. We ensure that the changes are applied to the target system.
As part of the post migration, we provide data reconciliation and assurance. We take care of advanced analytics, and build search capability and complete data & analytics on the new platform.
Want to unlock the legacy databases and move them to modern databases?
The Cloud4C Differentiators: Why Partner with Us for your Data Modernization Journeys
End-to-end migration, modernization, and management on Public Cloud platforms (AWS, Microsoft Azure, GCP, OCI and more).
Cloud4C Migration Factory enabling highly secure, automated, and cost-efficient migration.
Zero downtime migration with high performance to the tune of no-failure 500,000 transactions/hour.
Automated and quicker migrations, making modernization cost-efficient for any enterprise.
Homogeneous and heterogeneous database migration - any source to any target.
High Availability and Backup enabled with a 24/7 available support infrastructure.
Migration powered by extensive assessment and robust roadmap to open source platforms.
Managed Data Analytics and Reporting ensuring a single source of truth and synchronized data. Data sovereignty powered by AI
Zero RTO and RPO - Disaster Recovery with total ownership from replication, managing DR site up to primary site restoration with RPTO SLA implemented.
Data Integrity is ensured with Cloud4C’s Three Pronged migration approach
Military-grade security ensuring safer data transfer, storage, and backup with tools, data encryption, testing plans, and access control.
Large scale migrations handled swiftly for BFSI, Govt. Organizations, Ecommerce, Healthcare, etc.
We Support your Data Modernization Activities on and between the Top Cloud Platforms and Cloud Solutions across the Globe:
From Our Knowledge Desk
Data Modernization - Frequently Asked Questions (FAQs)
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What does data modernization mean?
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Data Modernization is a process where the legacy databases are moved to modern cloud-based databases.
It helps the enterprises to be innovative and agile by removing the challenges revolving around legacy systems.
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Why is data modernization so important for organizations?
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Enterprises today place data modernization on the top of their priorities.
With Data Modernization, enterprises can use the right data to deliver valuable insights and real-time response to the evolving needs of new businesses.
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What are the growing trends in data modernization?
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A real fix to the issue is for associations to modernize their data warehouse to empower data-rich experiences that change their whole activity. There are numerous benefits to this methodology, including:
- Scaling to meet developing investigation needs, with clients focused on analytics instead of worrying about data set activities, similar to migration and data staging before directing the investigation.
- Incorporating new data sources to utilize data at any scale, with a focus on rising data volumes just as the utilization of numerous data sources.
- Reducing time to knowledge with fewer deferrals, enabling clients to rapidly find values in data, just as ingest streaming data to analyze situations as they unfold.
- Democratizing access with the data store in one spot for each business work, consequently enabling data analytics to run analytics without obtaining new abilities.
- Making arrangements for the future and utilizing a modern EDW as a launchpad for further developed types of analytics, for example, artificial intelligence and machine learning.
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Why is data modernization so important for organizations?
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Enterprises today place data modernization on the top of their priorities. With Data Modernization, enterprises can use the right data to deliver valuable insights and real-time response to the evolving needs of new businesses.
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What is the role of the cloud in data modernization?
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With ever-increasing data sources streaming into associations consistently, it is imperative to stay up with the amount of data.
Cloud data warehouses, data lakes, and cloud-based data platforms offer better execution at a lower cost with high versatility and have become the empowering framework for data modernization services. Here’s how:
- Capacity
- Elasticity
- Access to advanced tools
- Automated data pipelines