DAM Features for Effective Video Asset Management
Credits: Published by our strategic partner Tenovos.
Searching for the right digital asset management system (DAM) for video can feel like stumbling around in the dark. The time spent gathering requirements, researching applications, and reaching out to platforms can leave you more confused than before you began.
What should you actually be looking for in a DAM for video? Is a DAM even the right tool for managing your media? How can you ensure your video assets are stored and managed in a way that will optimize their usability across multiple channels and partners?
Weβll be the first to admit, there is no DAM thatβs going to replace your media asset management (MAM) system for video production (though when it comes to the final asset, weβve got you covered). But if youβre looking for instant video playback, automated metadata, and shareable portals and collections for your external partners, youβre in the right place.
In this article, weβll set expectations for what features you should be looking for in a DAM for video assets. Make note of which features touch on your organizationβs needsβit should become increasingly clear whether a DAM is right for you. Once we cover the basics, weβll highlight why thereβs so much opportunity in the future of DAM video functionality.
DAMs are made to manage your pre-distribution video assets
DAMs are ideal for managing completed video assets. The sweet spot for uploading videos to DAMs is after post-production and before marketing distribution. In this space, DAMs are essential for tracking asset usage, adding helpful metadata, and sharing assets across global teams. The best DAMs offer a suite of features that support the videoβs lifecycle after publishing. But overall, you should expect most of the same functionality in DAMs for video as managing print or web assets.
Six DAM for video features you need
There is an overwhelming number of options for DAMs, each offering its own suite of features. But what do you actually need to ensure youβre getting the best DAM for video? Below is a list of the essential features every DAM should have if youβre managing video assets.
- Interoperability with existing video software
Since one platform canβt solve all your video needs, you should be looking for a DAM that seamlessly connects to your current video production or management software. Creating video is notoriously complex, but managing video in DAM shouldnβt be.Look for a DAM that integrates your existing applications and repositories to maintain the integrity of content and data when transferring video between systems. Just because assets move, doesnβt mean you should experience any data loss or lack of transparency. Good DAMs for video will connect using updated APIs with creative suites, product information management systems (PIMs), content delivery networks (CDNs), and content management systems (CMSs).
- Instant global video management
World-class enterprise DAMs have no excuse for slow video playback speeds or a lack of video thumbnails. Many DAM platforms have implemented built-in CDNs to ensure you can play, share, download, and publish videos with little lag.Your DAM should be built on cloud-based architecture that allows for uninterrupted global access to the platform for all users. This ensures your DAM is regularly updated with new video functionality without impacting your workflows or security.
- Review and workflow management
The best DAMs for video should be able to streamline the creative review and proofing process. Look for a DAM that can ingest your video assets and pull them into automated review workflows.Using your DAM for reviews, annotations, and approvals will enhance productivity and keep your projects on track. This saves you time and money on third-party software and endless email threads. Internal and external teams get real-time visibility and notifications, ensuring everyone is in sync and aware as your video assets are approved.
- AI or automated tagging and metadata creation
AI and machine learning are phenomenally helpful when it comes to managing video assets. DAMs using AI offer features like auto-tagging and automatic speech-to-text transcripts in multiple languages. Instead of searching for a specific video in endless folders, it only takes a few clicks to discover and share subtitled videos.In fact, machine learning can automatically scan video assets and assign tags related to the products, people, and objects within your videos. Supplement that metadata by integrating your product information management (PIM) system to improve insights and discovery. All this data makes searching and managing video assets a breeze.
- Role-based interfaces, collections, and portals
When choosing a DAM for video assets, personalizing each userβs experienceβwhether through role-based interfaces, branded portals, or sharable collectionsβhelps you access and share your videos without interruption. Ensure any DAM you choose allows you to create secure, branded portals without worrying about size limits or other technical restrictions.Similarly, many DAMs have βcollectionsβ or role-based features which ensure only the right teams, partners, and agencies view and edit certain content. With a combination of role-based dashboards, portals, and collections, you can ensure all rights management and intellectual property rules are dynamically adhered to and everyone has the videos they need.
- Customizable and scalable rights and security
Last but certainly not least, your videos need to be secure and easily shareable with those who need them. As opposed to MAMs, which may only host up to 20 users, DAMs can host thousands of users signing in from anywhere in the world. If youβre looking for a DAM with scalable features, prioritize platforms with clear and customizable controlsβyou should be able to edit rights and access based on campaigns, teams, brands, geographies, and more. Itβs also wise to explore if your DAM can automate security and rights notifications, so you can get alerted if licenses are about to expire or need renewal.Additionally, check if your DAM tracks how your content is being shared and by who. Good DAMs will have alert features that trigger users to when there are spikes in usage or unusual behavior.
What is the future of DAM for video assets?
In the future, DAM features will evolve to do even more. Weβre already seeing features like AI-assisted subtitles and dynamic resizing for social channels. More innovators in the DAM space are tracking video watch data in DAMβfeeding that data back into the asset lifecycle to create a closed loop of continual content improvement.
In the end, if these six features address your organizationβs needs, a DAM might be right for you. Features like interoperability, workflow management, rights management, and instant global playback will set you up for DAM for video success. Donβt forget to add them to your wishlist!
After all, a journey of a thousand miles begins with a single step. Your adventure awaits.
Want to know what types of data your DAM should be providing? Reach us at marketing@sifycorp.com
Written by Michael Waldron, CMO, Tenovos
The Definitive Guide to DAM Adoption
Credits: Published by our strategic partner Tenovos.
If youβre launching a digital asset management system (DAM), you know that technology isnβt your only challengeβsometimes people are. You can have the best DAM in the industry and processes to match, but if your users donβt adhere to naming conventions or donβt categorize assets correctly, the project can devolve into a DAM quagmire. So, how do you get all the users of your DAMβfrom designers and partners to agencies and entire teamsβto come along on your DAM adventure from the start? Your journey will involve mapping out your terrain, building your guild of allies, consulting your DAM wizards, and choosing the path to your DAM legacy.
This article will be your definitive guide to DAM adoption from the beginning. Weβll explain the process of getting users involved in selecting and rolling out your DAM, as well as the strategies you can use to ensure widespread adoption and ongoing equilibrium.
If you already have a DAM, the steps below are perfect for rethinking your adoption strategy. Itβs easy for users to fall off the adoption wagon, so your strategies should be evolving to keep up. Youβll determine where to improve your engagement with your users, strengthen your desired norms, and encourage better user behaviors. From mapping out your DAM journey to setting yourself up for a legacy of successβletβs talk about how to achieve optimal DAM adoption.
1. Map out the terrainβuser influence and resistance
The (not so secret) secret to DAM adoption is identifying and engaging your stakeholders early in the process. For those without a DAM (or replacing your existing DAM), it means prioritizing the needs of those who will use the DAM inside and outside your organization.
Start with a stakeholder mapping exerciseβsit down and brainstorm everyone who will be using your DAM or involved in the success of implementing it. Write each name on a sticky noteβfrom the illustrators uploading new assets, to the IT manager who will deal with support tickets. Then sort those stakeholders into quadrants:
This exercise will help you determine which stakeholders should focus your energy and support on throughout the DAM adoption process.
Itβs also important to conduct resistance planning. To manage resistance, you should brainstorm all the potential reasons your stakeholders might resist your new DAMβmake a thoughtful, comprehensive list. Executives may lack awareness of why a change is needed. Creative teams may fear the unknown that comes along with this change. IT may resist because they anticipate a lack of support once the DAM is implemented. In this stage, you should consider your usersβ concerns carefully, making note of potential blockages will help you gather their feedback and develop a communications plan that effectively addresses their concerns.
For organizations that have already implemented their DAM, itβs never too late to map your stakeholders and consider their needs. Resistance can happen at any point in the journey. Investigate how your DAM is performing with a survey, DAM usage data, or user interviews at regular intervals. You may not be able to implement a new system, but itβs never too late to revisit your usersβ needs and consider why they may be resisting your processes.
2. Build your guildβrecruit your DAMbassadors
After youβve determined which users have the most influence and interest in your DAM, you should identify who among them could be your allies. Who is likely to adopt new norms quickly? Who can assist you and offer insight into team morale? Who is most invested in the DAM planning process and its success?
Determine who among your internal (and even external partners) would be willing to offer ongoing feedback and engage with the DAM process. These are your DAMbassadors and they will help you disseminate information, encourage excitement in your engagement campaigns, and uphold the norms and processes youβll put in place.
Recruiting them could be as easy as taking the βhigh interest/high influenceβ users from your stakeholder mapping and asking if theyβd be interested in taking on an advisory role. It could be for a limited time as the DAM is selected and implemented, or if your DAM is already in place, you could ask them to give feedback on an ad hoc basis. Consider incentivizing this roleβpeople are more likely to feel appreciated if they gain something from their insights. Bonus points if some of your champions are executive-level leadersβtheir buy-in will be important to secure budget and support across the organization.
Learn pro-tips on Maximizing your Content Value
3. Consult your wizardsβplan your processes and collect feedback
Itβs never too early to start thinking about governance, or how your DAM will be managed. As a part of governance, you must define processes related to users, assets, metadata, and uploads.
You will need to answer questions like:
- Will assets be uploaded manually through the DAM, via an integration, or both?
- Are you managing web assets? Video assets? Something else? How does that change your DAM needs?
- What are your file naming conventions? And where are these documented, and how are they communicated and enforced?
- Which users/groups will be permitted to edit metadata?
- Who will be responsible for archiving and expiring files?
- Who will provide DAM access to external users? Who will be responsible for training them?
- What are the different levels of access/permissions for different users and groups? How will access change if the users are external agencies, vendors, or retail partners?
Building and documenting these norms early on allows you to run them by your DAMbassadors and important stakeholders to ensure youβre considering complex user or asset challenges that may come up when choosing, implementing, or managing your DAM.
And remember that feedback shouldnβt stop at the planning stage or after youβve implemented your DAMβcontinue seeking ongoing feedback from your internal stakeholders and external DAM users. Nothing halts adoption more than users feeling like their feedback and suggestions donβt matter. Consider how you can collect feedback throughout the DAM process and follow up if user feedback influenced a decisionβthis builds their trust.
4. Pick your pathβselect the best DAM for your needs
Once youβve determined your DAMbassadors, your unique governance idiosyncrasies, and sought the feedback of your internal and external users, youβll be ready to select your DAM.
Picking the right DAM can often feel endlessly complicatedβthe time spent gathering requirements, researching applications, and reaching out to platforms can leave you feeling exhausted by the options. Narrow your focus on the top features that your organization cannot function withoutβbased on your stakeholder feedback, of course. If youβve done Steps 1-3 thoroughly, your organizationβs ideal DAM should check off all your most important boxes.
If youβve made your case to your executive-level leadership, done your research, and considered user feedback, your choice of DAM should set you up for the ideal user adoption scenario.
5. The rallying cryβdevelop and execute a communications plan
Communication plans can make or break DAM implementation. A clear comms plan will ensure everyone knows how the DAM will help them achieve their goals (i.e. what they can expect from the DAM) and how theyβre involved in the implementation and management of the DAM (i.e. whatβs expected of users). Use face-to-face meetings, town halls, forums, and Q&A sessions to communicate with stakeholders.
The key message is simple: If the DAM works as intended and users adopt it as directed, everyoneβs lives become easier. This plan defines the philosophy of the DAM, how it will be used, and how success will be measured for all users. It should include a timeline for implementation and onboarding and where users can go for ongoing DAM best practices, support, and training. You may choose to include how your organization plans to work with the DAM vendor and how the transition from the current asset system to the DAM will take place. The more clear and thoughtful your comms plan is, the more likely youβll be to reduce friction post-launch and improve adoption.
6. Create a legacyβmake onboarding and ongoing training impossible to ignore
Your DAM adventure has begun. Itβs filled to the brim with users accessing your DAM for many reasonsβapproval workflows, sharing assets, archiving past campaigns. How do you manage to keep all those users following your carefully curated governance rules and norms? You create onboarding and training tools that are tailored-made to teach. Here are 3 DAM onboarding and training ideas to keep your journey of asset management smooth:
- Launch a frequently asked questions (FAQ) video series in your DAM
Take a page out of Webflow Universityβs book and make a library of quick videos to onboard users, answer common questions, and reiterate helpful governance norms. Host your FAQ library in your DAM and link its location to the dashboard of every user. Each video can be casual and even funnyβthe point is to make learning and relearning DAM conventions accessible and impossible to ignore. - Create a DAM help desk
Sometimes users donβt know where to get their questions answered. Creating a DAM help desk, either in person or virtually, gives them a predetermined window to come to you with questions and feedback on the DAM. Have your DAM managers, IT staff, or DAMbassadors cycle through βoffice hoursββthey can be on standby until a user reaches out with a question. This also works great asynchronously as a Slack or Teams channel. - Build a governance document
Remember the governance planning you did in Step 3? Consider creating a governance resource that users can refer back to. Create an artfully designed landing pageβan internal search engine that points people to common solutions to their problems. Give clear guidance on how to use common metadata terms, manage metadata, and upload assets. Include anything else that users may forget or make mistakes from time to time.
You may notice that this resource and your video FAQ library will have some overlapβitβs important to have resources available in multiple formats and places. The more accessible, interesting, and valuable this information is, the more likely your users are to adopt it.
Your DAM adoption journey begins with a single step
User adoption is the single defining characteristic of a successful DAM implementation. Are your users accessing the DAM as intended? Is it working for them as intended? In your DAM adventure, user adoption is an ongoing processβa never-ending story. But, if you can map out your desired digital asset system, bring along the right users to see it through, plan and communicate your processes, and keep people engagedβwidespread adoption is possible.
For organizations with entrenched DAMs (and tired DAM managers), itβs never too late to address user adoption. Thereβs always the opportunity to seek feedback on how to improve your DAM processes, make training easier to access, or develop a comms plan that revitalizes usersβ desire to make the DAM better.
After all, a journey of a thousand miles begins with a single step. Your adventure awaits.
Want to know what types of data your DAM should be providing? Reach us at marketing@sifycorp.com
Written by Michael Waldron, CMO, Tenovos
Rise with SAP⦠(But how?)
– An article by Prashant Pimpalekar, covered by Enterprise World
SAP has ramped up a bulk of its resources, innovations and R&D investments to transition SAP Business Suite/ERP customers (i.e. on SAP ECC6.0) to SAP S/4 HANA on Cloud. The campaign it launched worldwide (βRise with SAPβ) has been well-received by its customers and prospects.
While SAP has provided multiple choices for the said transition, it has created some confusion in customersβ minds. Rise with SAP but how? Which way to go? What is the best option suited for my organization?
Instead of directly telling the options available under Rise with SAP (deployment models for S/4 HANA Cloud), this article takes a customer-centric view and provides multiple scenarios of SAP customers/prospects and recommendations for the best-fit possible.
- Yours is a startup raring to go. You want an ERP software which will provide a rich functionality of all the key business processes (right from procure to pay, order to cash, record to report, hire to retire etc.) seamlessly integrated, can accommodate the scorching business growth, would be Cloud-based (and so scalable) with subscription-based pricing giving SLA-bound performance with lowest possible TCO (Total Cost of Ownership). And all this in record time, ready to run! In this case, SAP S/4 HANA Cloud (Public Edition) could be the best option.
- Or, you head a lean organization with SAP ERP ECC6.0 implemented (or you could be on a lower version of S/4 HANA, say 1503, on-premise), say, 6 to 8 years ago. In that long period, your SAP system has been customized on many instances to meet the business requirements on an ad-hoc basis. Due to various reasons, master data quality has not been up to the mark. Customizations done years ago seem to be no more relevant in the changed business scenario of today. Overall, the SAP deployment satisfaction index is not high. Given a chance, you would like to discard the chaotic system and start afresh on a blank slate. But while doing it, you donβt want to lose the rich functionality of integrated and reliable business processes and the comfort of SAP users. Keeping in tune with the changing times, you want to avail the elasticity of Cloud, want to see greenfield Implementation of SAP S/4 HANA in record time with a competitive budget. In this case, SAP S/4 HANA (Public Edition) could be the best option.
- Or, yours is a big organization with SAP ERP ECC6.0 implemented, say, more than a decade ago. Most of the key business processes have been mapped and are being used across many plants, branches spread across the country (or even across many nations). Mirroring the business, the business processes are complex and due customization has been done to cater to local/country-specific requirements. You have maintained relatively high data hygiene in the SAP system and the SAP deployment satisfaction index is pretty good. You canβt afford to lose all that and so canβt think of any greenfield implementation. Your organization also puts much more emphasis on security and so want to go for single-tenant tenancy on Cloud. In that case, Brownfield migration to SAP S/4 HANA Cloud (Private edition with Hyperscaler) could be the best solution. The SAP system/servers could be hosted on one of the hyper-scalers like AWS, MS-Azure or GCP (Google Cloud Platform).
*Brownfield migration- Here you are getting SAP master data, transactions, configured business processes, RICEF objects, balances from SAP ECC6.0 into S/4 HANA (whichever is the target version). No need to create them from scratch (or upload them via batch programs). It also gives you an opportunity to configure new business processes, rectify some old processes, add any enhancements etc. if you perceive a need.
- Or you are a CXO of a very large organization using SAP ERP ECC6.0 say, since more than a decade. Most of the key business processes have been mapped and are being used across many plants, branches spread across the country (or even across many nations). Mirroring the business, the business processes are fairly complex and due customization has been done to cater to local/country-specific requirements. You have maintained relatively high data hygiene in the SAP system and the SAP deployment satisfaction index is pretty good. You canβt afford to lose all that and so canβt think of any greenfield implementation. Besides, your organization works in a highly regulated environment (federal/state/local regulations) like life Sciences / Utility / BFSI putting heavy emphasis on various compliances. So besides opting for single-tenant tenancy on Cloud, you also want the SAP system/servers residing on a designated private data center (like HP, Dell, Lenovo). In that case, Brownfield migration to SAP S/4 HANA Cloud (Private edition β Customer data center) could be the best solution.
Following table captures the essence of above explanation along with some important data points (which could not be covered earlier) which should assist in your decision-making process of S/4 HANA migration.
RISE with SAP Deployment Models for S/4 HANA Cloud β
Public Edition | Private Edition Hyperscaler | Private Edition Customer Data Center | |
---|---|---|---|
Business driver | Ready to run | Tailored to fit | Data sovereignty/residency, performance, security, portability |
Service offering | SaaS (SAP) | IaaS & PaaS (SAP) | IaaS (HP/Dell/Lenovo) & PaaS (SAP) |
Migration type | Greenfield only | Greenfield or Brownfield | Greenfield or Brownfield |
Licensing model | Subscription- Cloud ERP | Subscription- Cloud ERP | Subscription- Cloud ERP |
SAP SLA % | 99.7% | 99.7% | 99.7% |
Tenancy | Multi-tenant | Single-tenant | Single-tenant |
Max scale up RAM | 6 TB | 24 TB | 24 TB (with HP), 12 TB (with Lenovo), 6 TB (with Dell) |
IaaS data center location | SAPβs choice | Choice of public cloud data centers | IaaS (with customer data center choice) |
Infrastructure host | AWS, Azure, GCP, SAP | AWS, Azure, GCP | HP, Dell, Lenovo |
Cloud deployment | Public cloud | Public cloud | Private cloud |
Data management and storage | Shared | Shared | Dedicated |
Customization | No | Yes | Yes |
SAP source code changes | No source code changes No IMG access | Yes | Yes |
Upgrade flexibility | No (Compulsory 2 upgrades/releases every year) | Yes (customers can choose when to upgrade) | Yes (customers can choose when to upgrade) |
Integration with SAP PO (Process Orchestration) | Not possible | Yes | Yes |
Conclusion β
Scenarios explained above need to be taken with a pinch of salt. It is highly possible that even a large organization may discard their current SAP system and may go for greenfield implementation, or a unicorn startup may go for Private edition (Hyperscaler). It all depends on N parameters (some of which are discussed above), budget, timeline expectations etc. So, while there is no one-size-fits-all nor is any solution right or wrong, this article should assist the CXOs in deciding which way to go for SAP S/4 HANA migration.
Check out the full feature here
Data Center Automation β Exploring Opportunities and Addressing Challenges
In the grand tapestry of India’s digital journey, data center automation is a defining thread that weaves excellence, resilience, and growth into the very fabric of the nation’s IT landscape. The amalgamation of innovation and automation empowers data center companies to transform operations, elevate security, and unlock new levels of efficiency. As the scale and complexity of data management continue to escalate, the role of automation in data centers has emerged as a transformative force. From provisioning and configuration management to monitoring and security, automation is the catalyst behind operational efficiency, reduced human intervention, and remarkable precision.
Data center automation involves the use of advanced technologies like AI/ML and robust software to streamline & orchestrate various data center processes. This automation enables data centers to operate tasks that were previously time-consuming, error-prone, and labour-intensive. These tasks can now be automated, leading to optimized resource utilization and improved overall performance. With the right approach, data center automation can revolutionize the digital IT landscape, enabling businesses to stay agile, competitive, and future-ready.
India’s Data Center Landscape: A catalyst for Innovation
India is becoming the preferred data center destination for enterprises and hyperscalers. Currently, there are 138 operational data centers in India, utilizing 737 MW power. Over the next 3-4 years, an additional 50 data centers are expected to be established, resulting in a power demand of 1050 MW. Indian cities like Chennai, Hyderabad, Bengaluru, Mumbai, Pune, Noida, and Kolkata are emerging as data center hubs, hosting a myriad of providers catering to diverse industries. Several leading companies leverage automation techniques to deliver seamless and reliable solutions to their clients. The adoption of automation has enabled them to offer cost-effective services, rapid deployment, and robust security measures.
Important Role of Virtualization
Virtualization forms the crux of data center automation, particularly in cloud computing environments. By abstracting hardware resources and creating virtual machines (VMs), data center administrators can deploy and manage applications more efficiently. Virtualization allows for dynamic allocation of resources, on-demand scalability, and workload migration across servers. This flexibility streamlines automation processes and optimizes resource usage. It enables data centers to adapt and scale rapidly according to their requirements.
Benefits of Data Center Automation
Data center automation presents a world of opportunities for businesses in India and around the globe. The opportunities presented by automation are vast, ranging from operational efficiency to enhanced resource utilization. Data centers must automate to experience the following benefits:
- Enhanced Efficiency: Automation propels data centers into an era of unparalleled efficiency by eliminating manual intervention. Time-consuming routine tasks, once automated, can be executed with precision, freeing up skilled personnel to focus on strategic endeavours. By automating resource allocation and workload management, data centers can achieve optimal utilization of computing power, storage, network resources, and automate incident response. This efficiency translates into reduced downtime, optimized power consumption, better hardware utilization, improved operational efficiency, cost savings, better scalability, and a greener footprint.
- Faster Deployment & Flexibility: Automation expedites the deployment of applications and services in a data center. With automation’s ability to swiftly allocate resources on demand, data centers become more agile and responsive to changing workloads. This scalability ensures optimal performance, even during traffic spikes or resource-intensive tasks. Automated Data Centers embody flexibility by seamlessly adapting to evolving business needs. Through intelligent automation, these facilities can swiftly deploy new services or applications as demand fluctuates. This adaptability ensures that businesses can respond to changing market conditions and customer demands with agility, without the constraints of static infrastructure.
- Enhanced Security Posture: Automated security protocols keep a constant vigil on data center environments. Threat detection and accelerated incident response help prevent cyber threats and potential breaches. Automated security measures aid in responding promptly to security incidents. This proactive approach enhances data center security, protecting sensitive data and critical systems.
- Rich Data Insights and Analytics: Leveraging the power of automation and advanced monitoring systems, the data centers constantly collect more and more data on business performance, resource utilization and system health. The data analytics provides businesses with valuable insights into their IT infrastructure. This insight empowers organizations to make data-driven decisions, optimize resource allocation, predict maintenance needs, and improve overall efficiency.
- Cost Savings: Automation led data centers help save costs through energy efficiency, resource management, predictive analytics & maintenance, scalability, labor efficiency, error reduction, location optimization, integration, and compliance management These cost-saving benefits make automation a strong investment for businesses looking to optimize their IT systems.
Challenges in Data Center Automation
While the benefits of data center automation are compelling, embracing automation comes with its own set of challenges. Many data centers consist of heterogeneous systems and technologies, making it difficult to integrate new automation tools seamlessly. Here are a few challenges that data centers may face while embracing automation:
- Skills Gap: Introducing automation into existing data center infrastructures demands careful planning and integration. Besides, adopting automation requires skilled personnel who can manage and maintain the automated processes. Data center staff may need to upskill or reskill to effectively leverage these automation tools. They must evolve from playing traditional roles to becoming adept orchestrators of automated workflows and processes.
- Security Concerns: As automation reduces manual intervention, robust security measures become paramount. Safeguarding against unauthorized access and potential vulnerabilities is imperative. Data centers must keep an eye for unauthorized access to automation systems or potential misconfigurations, which could lead to severe data breaches and service disruptions..
- Large Initial Investment: The initial capital investment required to implement automation tools and technologies can be significantly high. Smaller data center companies in India may find it challenging to invest in these technologies, limiting their ability to compete effectively. While the long-term benefits are substantial, data center companies must carefully assess the need for capital investment against the potential gains they offer.
- Regulatory Non-compliance: Automation may raise concerns about non-compliance with industry standards and data protection regulations. Hence, data center companies must ensure their automated processes comply with the industry standards and regulations including Personal Data Protection Bill (PDPB), ISO 27001, Payment Card Industry Data Security Standard (PCI DSS), Telecom Regulatory Authority of India (TRAI), ISO 14001, and more.
Transforming Data Centers With Sify Technologies
Sify Technologies has been a pioneer in the India data center services market, serving enterprises for more than two decades. We have been delivering value to our customers by enabling them to achieve their digital transformation goals, powered by intelligent data center automation. Sify data centers provide automation benefits such as better visibility into the data center operations, while ensuring optimum utilization of resource capacity. Paving the way for innovation and growth, we are not only transforming data center operations but also contributing to building Indiaβs tech landscape.
The integration of AI/ML-based predictions plays a crucial role in managing availability, performance, cost, and capacity. Currently, Sify data centers commits:
- 8-10% savings on PUE
- Improving equipment time by 20%
- Up to 300 person hour savings in a month
- 20% reduced MTBF, 10% improved MTTR, and 10% reduction in unplanned/possible downtime
- reduction in customer penalties by maintaining SLAs
- 10% reduction in operating cost
Conclusion
In conclusion, the field of data center automation offers countless opportunities for organizations to increase efficiency, scalability, and reliability in their business. Adoption of automation technology can enable routine tasks simplify, reduce human error, and free up IT staff for more strategic efforts. However, it is important to acknowledge and address challenges such as security concerns, skills gaps and the need for better planning and management. With a strategic thinking approach, organizations can unlock the full potential of data center automation, paving the way for faster and more agile digital processes in a data-driven world.
Accelerate your digital transformation journey with a digital-ready IT infrastructure powered by Sify. Learn more about how Sify can transform your organization by becoming your digital infrastructure partner.