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Your News
Aug 12,2020 21:40:03PM
Why is Data Strategy so important?
Building the Caliber for Enterprise-Wide Futuristic Data Systems
Data is more than just a buzzword; it has become the fuel for enterprise engines to ignite critical processes in the right perspective and direction. Organizations are looking to tap the most from the improvements in data storage capabilities across platforms and key vendors towards a build-up of coherent, flexible, innovative, and reliable information assets. It involves identifying and fixing inconsistencies arising out of legacy data storage and usage platforms – and seamlessly upgrading or replacing them with modern or ad-hoc data storage and retrieval systems. With need to manage complex resources and technology behind the data-centric needs of companies, thought leaders have identified the need for a Chief Data Officer, depending on the hierarchy and ‘command matrix’ of individual firms.
Modern data platforms and offerings are characterized by an all-inclusive portfolio that covers data privacy, architecture, governance, and overall storage – along with the costs associated in accordance with the premium or standard labels. The scope and boundaries of data-centered operations have become so broad, as market is bustling dedicated vendors who can offer custom infrastructure and tools to actually formulate and meet data management needs. In this scenario, enterprises are increasingly focusing on deriving value out of a multi-prone data strategy with a consolidated enterprise-wise schema of business data and entities.
Throughout its journey, NYGCI (Data Protection Services Company) has adopted a scientific yet holistic approach in evaluation and assessment of the needs of internal resources in terms of building a solid data systems competency. It was able to determine key vitals as well as pain points to set our goals vs. expectations for stable data-centric system landscape encompassing people, technology, processes, and organizational levels. This helped us work around and shape key parameters towards a world-class enterprise data strategy that would serve client needs and push our capabilities seamlessly.
• Transform in terms of scale as well as speed
• Eliminate sheer dependency with flexible data ecosystem
• Tackling data silos by way of merging and connecting
• Compliance with prevailing data governance norms
• Security and privacy of confidential business data
With evolving business needs, we understand that businesses must be looking at diverse yet seamless platforms, applications, and capabilities around data – that can perform cohesively with the least consumption of resources and within optimum levels. To make this a reality and carry this proposition to new-age transformation, we can offer an integrated ‘semantic’ layer. Data-driven initiative of ours has helped a number of lients to achieve growth and optimize costs on infrastructure planning. These customized offerings essentially perform and delivers value in the form of a unified and well-integrated cloud-based data platform.
Technology and business thought leaders have zeroed in on some critical parameters to build data strategy, which essentially revolves around five components with the letter S.
Stability: Reliable, persistent, and robust data solutions to ensure business diligence and continuity of processes.
Seamlessness: Clean data that is ‘free’ of residual values and garbage to produce intelligible and actionable insights across customer touch-points.
Security: Data architects can ably build systems that never compromise on critical business data and sensitive customer information, thereby adding immense trust.
Scale: Data systems that are stable enough to deliver business performance across the enterprise resources and can scale to fulfill expanded business demands.
Speed: We place emphasis on the diligence of data-driven platforms in view of critical processes that require efficient and instant processing of information in real-time.
We are consistently working on creating cutting-edge data systems based on modern architectures such as the Data Lake, for progressively helping us serve our client needs more efficiently. We have built data capabilities that support various cloud-based configurations offered by AWS, Azure and mainframe-hosted data storage systems, Big Data vendors, as well as open-source data technologies. NYGCI resource planning, skill development, team building, and constant understanding of the data ecosystem across various business domains has been a prioritized area.
NYGCI also provides DPaaS (Data Protection as a Service), Big Data Analytics (Analytics as a Service), & STaaS (Storage as a Service)
Your News
Apr 23,2020 21:40:03PM
How to Solve Data Protection Challenges for enterprises?
What is data protection and Why is it important?
Data protection is the process of safeguarding important information from corruption, compromise, or loss. The importance of data protection increases as the amount of data created and stored continues to grow at unprecedented rates. There is almost close to 80% rise in the number of cyber-attacks against financial institutions in the last year. Financial institutions are attacked almost 300% more than any other type of company or industry.
Principles of data protection
The key principles of data protection are to safeguard and make available data under all circumstances. The term data protection is used to describe both the operational backup of data and business continuity/disaster recovery (BC/DR). Data protection strategies are evolving along two lines: data availability and data management.
What are major Data protection challenges to enterprises?
Data privacy and protection is not an easy task. Security professionals must classify data by risk and ensure that the data (both sensitive and personally identifiable information) is protected with appropriate security technologies and strategies.
5 Biggest Challenges in Data Protection:
- The growth of data is exponential
- Cost of maintaining data privacy
- The number of open vulnerabilities
- Business continuity risks.
- Financial impact of human error.
Data has powered our biggest and most rewarding advancements and technologies over the last decade. But, there’s a real challenge with protecting consumer data privacy and preferences today. To understand the impact and importance of global data privacy, one should first understand the biggest challenges the organization might face in data privacy and protection.
Can On premises or Cloud Data Protection Overcome the Challenges?
Technology improvements increase the adoption of data protection solutions, either on cloud or on premises network. NYGCI explains that 90 percent of medium to large businesses are using industry leading data protection services.
End-to-End Protection Reduces Data Loss Risk-Data protection software uses industry standard encryption algorithms. Multiple encryption points eliminate concerns about data security over public and private networks. Data is encrypted at the source, in transit, and at rest in the cloud. Security is significantly enhanced when compared to legacy backup solutions.
Centralized Management Improves Reliability and Reduces Expenditures-Data protection platform centralizes resources, improving security and reliability of backup tasks. NYGCI computing services team transfer backups from multiple offices to a central repository for easy, more cost-effective management.
Automated Processes Speed Recovery on cloud-On-premises or public cloud data protection improves recovery reliability by eliminating hardware dependencies and time-intensive, expensive manual processes, automating tasks. Duplication and compression techniques reduce the volume of data traveling across the network. Greater reliability ensures you are restoring the right data quickly with minimal dependencies.
How NYGCI can provide data protection and management services for enterprises:
Our computing services are designed to protect critical business data from undesired access and mishandling and secure a large volume of data (blocks & files) from deletion, viruses, and theft. We assist businesses with data protection
- Comprehensive backup, recovery & replication
- RCA of failed backups and remediation
- Design, implement and optimization services (Automation, RCA, Upgrades, etc.)
- Data restoration services
- Disaster recovery testing & support
- Facilitated tape management
- 24×7 access to managed services experts
Data protection services go hand in hand with network security and other cyber-security services to keep companies aware of threats, safe from attacks, and prepared to respond in the event of an incident. Businesses can deploy data security software and backup software in lieu or in addition to data security services to maximize their protection efforts.
NYGCI help customers avoid data loss and associated downtime with a data monitoring solution that improves backup success rates and data restoration capabilities. Our managed service focuses on the day-to-day activities required to keep a customer’s important data protected and recoverable.