The need of the hour for real-time decisions is modern data architecture

In today’s enterprise, modern data architecture is the key to applying the intelligence that drives insights and action.
Data can now be found everywhere. Data modernization allows for more accurate decision-making by reliably extracting data from systems. It aids in the identification of high-value data combinations and their integration. It enables people to quickly ascertain opportunities at the moment, allowing them to capitalize on minute details as well, which ultimately generates higher ROI.
Furthermore, data modernization reduces the risks associated with data security and privacy compliance. Identifying sensitive information is a part of the process which in turn permits the user access to data in a precise and efficient manner.

Transform your enterprise outlook with Data Modernization

The need to stay competitive in modern-day business has forced organizations to restructure their workspace. In a way, enterprises must step forward and pay heed to the bytes of data they have within their business.

Explore our Data Modernization Services

We help our customers with services across the data modernization spectrum:

Data architecture assessment
Data warehouses modernization from on-premises to cloud and from on-premises to on-premises
Data Upgradation
Data Re-platforming
Data processing lifecycle; covering infrastructure, data ingestion, storage and repository creation
Data Pipelines/workflows Modernization
Data governance and operations
Data security and access management
Data Transformation and Migration services
ETL/ELT and custom SQL scripts

Modernize your data landscape with Stridely

Data Modernization solutions aid in the creation and delivery of a leaner, agile, and dynamic data ecosystem, helping enterprises with real-time insights.
Stridely’s Data Modernization solutions assist enterprises in taking stock of their present data environment and supporting them in optimizing, transforming, and modernizing it, thereby enabling enterprises to reduce time-to-insights.

Scale Management - Increase scale

Increase the scale of your current data platforms with modernization.

Reduce Latency - Faster data availability for quicker decision making

The important criteria for quick decision-making are data collection latency and information processing delay.

Cost management - create future scalable applications

There will always be a need to reach better levels of decreased latency, as well as scalability at a lower cost.

Modernize your data landscape with Stridely

Role of Cloud in data modernization

The usage of cloud-based data platforms allows you to get more value out of your data. You can use cloud architecture to do the following:

Buoyancy

To reduce costs, adapt to demand and delivery, or cancel resources as needed.

Potential

Access only the resources as required by your data applications — nothing more or less.

Automation of Data Pipelines

Centralize all data sources into a single repository to digitize pipelines for processing.

Cutting-Edge Technology

You can use the most recent tools without acquiring additional licenses.

Data modernization improves the capabilities of your cloud data platform by unifying your data types and tags, allowing you to use and monetize your data more efficiently.

Result-oriented management in the modern enterprise

Modern data architecture is critical in today’s enterprise for applying the intelligence that drives actions and insights.
Stridely’s experts can quickly mobilize thousands of associates to recognize your data modernization aspiration. Our cutting-edge cloud technology consists of Microsoft Azure, Amazon Web Services, Google Cloud, and Microsoft Azure as provider partners.
While each implementation is unique, we can typically apply a new data platform in quite a quick succession. Many clients have reported around a 40% reduction in their data storage costs while recording a 30% to 60% decrease in time to market. Furthermore, they have achieved a six-month ROI.
Make your data count while modernizing it:

Any-time access – Easy Data access from anywhere while swift analyzing, management, and deployment are possible.
Trustworthy – High level of privacy compliance and regulations to enhance data security.
Cloud-based – Accessible and usable from all locations, whether in an organization or outside.

Spotlight ․

Insights

Transform your enterprise outlook with Data Modernization

Insights

How Cloud Analytics Boosts Business ROI: Drive Growth and Profitability

In this developing business world, organized analysis of last data patterns assists in building various business tactics for future operations and helps serve the customers better. Businesses use data analytics to perceive their customer choices better, stay competitive and maximize profit.

Insights

Effective and Viable Data Strategy - The Key to Business Success in Modern Times

Establishing and running a business demands many things and a viable data strategy tops the chart. This is no longer a hidden fact that quality data and its effective utilization is what places a business way ahead in the competition. The fate of data is decided by implemented data strategy. The efficacious strategy is, lucrative are the outcomes.

Let Stridely engineer your Data Modernization Architecture

Data modernization can be undertaken in the governance of SAPS/4 HANA, SAP BW/BI, ODI which can obliterate the data warehouse with its powerful BI structure. In addition to this, SAP BODS (BO Data Services) is an ETL tool which is quite requisite to create a skilled data structure and modernize it. It governs raw data into structured mechanism for easy storage and warehouse management.
Now it is high time to take charge of your data. Let Stridely engineer your data modernization architecture.