Rise with 麻豆原创 – Nurturing Innovation though Collaboration

German multinational software corporation 麻豆原创 is looking to double the contribution from its India operations by 2025, as the country is among the fastest growing geographies for the firm.

Its India operations posted high double-digit growth in 2021 across all market segments, Kulmeet Bawa, president, and managing director, 麻豆原创 Indian Subcontinent, told ET.

鈥�2021 was the best year in our history, and we鈥檝e contributed globally very holistically. India was one of the frontrunners in terms of the number of RISE customers globally,鈥� Bawa said.

The post Rise with 麻豆原创 – Enabling Technology to Foster Innovation appeared first on 麻豆原创 India News Center.

Given the kind of data-centric world we are heading for, organizations need to take extra care while integrating and migrating data on the cloud.

Cloud-based data migration is simply the process of moving enterprise information and infrastructure from on-premise to cloud computing infrastructure. This involves transferring data, workloads, applications, etc. One area which is steadily gaining traction is cloud data warehouse. Today,听听boast of workloads in the public cloud. Think of a as a database that is primarily used to tackle explosive data growth while storing information from a wide variety of sources, including Internet of Things (IoT), CRM, and so on.

Why is Data Migration Necessary?听

From new system implementations (think: ERP, CRM, etc.) and mergers & acquisitions to system rationalization and the need for reduced costs, there are multiple reasons why organizations may choose to migrate their data to the cloud. Without real-time, accurate data at hand, enterprises are at a decided disadvantage.

A key enabler of data-driven decision-making, cloud-based data migration can offer a host of business and operational benefits such as:

• Increased scalability, integrity reliability, and security of data with stringent compliance of policies
• Reduced IT costs when compared to cost-intensive on-premise costs such as hardware, software, support, downtime, depreciation cost, etc.
• Environment-friendly, 鈥榞reener鈥� alternative to on-premise systems and increased energy savings due to reduced need for physical materials for setup
• Increased speed-to-market when delivering projects
• Maximized uptime while backing up data, recovery, and system upgradation, ensuring business continuity
• Easy data availability on-demand leading to increased business agility
• Greater opportunity to leverage newer technologies such as machine learning, artificial intelligence, etc. and drive innovation
• Increased productivity due to consolidated data centers and the ability to outsource data management capabilities to a third party, allowing enterprise resources to focus on more high-value tasks
• Accelerated digital transformation and organizational growth as CTOs and leaders can opt to digitize core functionalities easily and seamlessly
• Better product delivery that is aligned with the user鈥檚 needs as the team focuses more on the user experience instead of constantly struggling with the data

Top 7 Cloud Data Warehouse听Best Practices听for Migration Success

1. Involve all departments of the organization instead of making it an IT-only job.

Most enterprises view data migration as the sole responsibility of the IT team鈥揳 big mistake. To drive migration success, consider the 鈥榟uman element.鈥� In other words, enterprises need to engage in behavioral management and involve all stakeholders across the board at all stages of data migration. This can be done by driving stakeholder participation and ensuring that the key resources are always available during the migration process. Doing so can throw light on hidden issues early on in the project and take the guesswork out of the equation.

The reason:

In reality, data migration failure is not always hardware- or software-dependent; it is behaviorally driven and a collective effort. Enterprises need to relook at their data migration process via a collaborative lens and ensure that every team is on board.

2. Plan extensively to understand the ideal cloud-migration approach.

Instead of viewing the data migration process as an isolated event that involves moving data from point A to point B, view it as a continuum of moving parts working together to enhance organizational performance and competitive edge. Simply put, there needs to be a greater effort in the 鈥榩lanning鈥� stage to ensure that enterprises:

• Benefit from an end-to-end, repeatable process flow
• Understand the best-associated methodology and approach for data migration
• Engage in a cost-benefit analysis to integrate a pay-as-you-go model instead of paying for additional infrastructural costs

The reason:

There are numerous types of cloud migration strategies that enterprises can adopt depending on their size of business and data complexity. Some of the most common strategies include re-hosting, re-platforming, re-architecting, re-purchasing, and retiring. Without proper planning, organizations will not be able to understand their existing IT environment and the kind of cloud vendor to choose to advance their data migration goals. Additionally, it can lead to prolonged downtime due to a chaotic data migration process, eventually costing organizations $5,600 per minute, according to estimates by听.

3. Engage in data profiling

Data profiling is essential for two reasons. One, it helps uncover risk early on. Two, it empowers enterprises to understand the data inside out fully. Moreover, using the profiling results gathered, stakeholders can be engaged across diverse aspects such as:

• Driving root cause analysis to identify business process flaws within the data
• Having empirical discussions about the data state
• Driving discussions on prioritizing requirements that are essential versus 鈥榥ice to have鈥�
• Identifying and analyzing inconsistencies in the data between the environment鈥檚 documented state and the true state
• Gauging the level of effort required to ensure that the data is fit for the prioritized purposes

The reason:

Accurate estimates about the time and effort required cannot occur without data profiling at the beginning of the migration process. In other words, if you want to successfully migrate data without letting guesswork get in the way, data profiling is necessary.

4. Build a culture of data governance

Data migration is as much about the people and processes engaged in the process as it is about technology. To cater to the 鈥榟uman鈥� factor of the data migration aspect, ask the following questions before deep-diving into the data migration process:

• Which resources need to be involved?
• What do 鈥榞ood data鈥� and 鈥榙ata duplicate鈥� constitute?
• What to do when remediating a data quality exception?
• What does the escalation process look like if a decision cannot be made?
• How to deal with the initial spike of remediation needs versus the steady state?
• How to ensure data quality after going live?

The reason:

To effectively manage data governance, leaders need to ask these questions and devise a strategic plan鈥搊ne that aims at establishing a culture of data governance from top to bottom within the organization, and caters to the needs of the end-user as well as the internal stakeholders.

5. Pivot as needed and embrace change

As organizations get more visibility into the data, iterations may be required at every step of the data migration flow. This lowers risk and improves the quality of the final output. It also doubles up as an opportunity to add cleansing rules with every iteration. As a thumb rule, organizations should iterate as often as needed. The end goal is to embrace change as readily as possible.

The reason:

Leaders need to focus on strategizing ways to help drive 鈥榗hange management.鈥� In simpler words, this translates to enabling people to readily embrace the changes in adaptability by:

• Training employees on the new system
• Designing, implementing, and monitoring a plan to support鈥揳nd back up鈥搕he change keeping in mind the end-user and the team鈥檚 needs

6. Segregate the data from the application

Most organizations make the mistake of not separating the distinct needs of the data and the application. While these two may be connected, they have individualized requirements. Another key area of concern is rushed application and data assessment, where enterprises do not completely assess the workloads. This leads to a skewed understanding of which migration approach to undertake for the specific data and applications.

The reason:

Without segregating the data from the application, there will be blind spots and 鈥榦verlooked data鈥� within the architecture. Plus, data segregation also helps to understand the remediation aspects to undertake for the project. Finally, it empowers enterprises to understand the specific migration requirements and eliminate the chances of scope creep.

7. Select the right cloud provider with security of data as a key focus point

When it comes to finding the best fit for migration support, tools, safety, or approaches, selecting the right cloud provider is paramount. Companies should investigate whether the cloud providers have the necessary data migration tools to move data by considering factors of vendor lock-in and portability.

Think of it as 鈥榚xpectation management鈥� between the two parties involved by having proper written and authorized documents鈥搊r an SLA (Service Level Agreement鈥揳s it is commonly known. Considering that most organizations would want to outsource their infrastructure services to the cloud providers so that they can focus on the core business, selecting the right cloud service partner can allow for better strategic business goals alignment as well as profitable outcomes.

The reason:

Most CTOs opt for a migration partner based on low pricing or familiarity instead of factoring in 鈥榚xperience.鈥� This can lead to mistakes and rework, causing your cloud migration costs to go off the rails. In addition, there are increasing concerns with respect to security protocols between the client and cloud providers, leading to the inevitable 鈥榯rust deficit.鈥� Finally, if the vendor does not plan and execute the security protocols properly, data breaches will become an everyday issue, costing the enterprise millions.

The Bottom Line

Data migration will continue to gain momentum with the global public cloud spending poised to exceed $480 million by 2022, according to听. Clearly, not building a roadmap for the data migration journey is already ensuring that the organization is set up for failure. After all, moving data from legacy to cloud is not a simplistic, linear approach.

To help drive better decisions and deliver a safe, cost-effective, and results-oriented data migration process, sticking to the best practices outlined above can make the process simpler, more streamlined, and scalable while being cost-effective.

The post The Ultimate Guide to Cloud Data Warehouse Migration appeared first on 麻豆原创 India News Center.

The key reasons to move to the cloud include:-

1. Agility- As per a听, the agility of an organization has become more important due to disruptions like Covid and supply chain issues. An organization that can reinvent its business model has a much higher chance of staying relevant in an increasingly complex, ever-changing world. By moving to the cloud, you can get the required platform, infrastructure, and computing capability to become agile.听
2. Lower costs- One of the most significant benefits of moving your system to the cloud is the accrual of cost benefits because of the following reasons: –
   1. No requirement of a dedicated server- Your hardware demand for storage becomes linked to your scale of business. You will no longer own physical storage. You can scale as and when your business scales to pay as you go rather than spending upfront on a dedicated server.
   2. Lower energy costs- It is well known that idle servers consume electricity, and when you store applications on the cloud, you no longer need to pay for idle servers.
   3. Lower workforce costs- Maintaining a data server requires high-quality IT staff, which is expensive. If you move to the cloud, you don鈥檛 need dedicated staff to maintain your data server and it is effectively outsourced to the cloud service provider.听
   4. No upfront costs- Setting up a dedicated server requires upfront costs. These upfront costs can disrupt your cash flow. Whereas, if you spend on a cloud-based infrastructure, you can pay as per the requirement without any upfront commitment from your side, thus making your organization more adaptable to change as per the requirement of IT infrastructure.听
3. Security- As per听, 94% of cloud adopters believe it to be more secure. Benefits range from a lower risk of data breach and less chance of system shutdowns or system failures.听
4. Faster Prototyping-听Being able to develop a prototype at a rapid pace and test its success will help organizations decide whether they want to go ahead with implementation. A cloud-based IT infrastructure can help the organization prototype and test the changes faster. This can make an organization more nimble by reducing the time to change.听

Despite all the apparent advantages of cloud-based IT infrastructure, as per听, only 50% of all corporate data is stored in the cloud as of July 30, 2021. This has increased from 30% in 2015. If you want your organization to successfully migrate most data to the cloud, you require coordination of different teams and particular focus from the CIO, CTO and CEO. To ensure business transformation on the cloud, the听following steps听should be considered to get a robust and efficient system that can continue in the future as well: –

1. Establish Responsibilities- Before migrating your data to the cloud, make sure your team understands the responsibilities and chief architects of the change. Such a team will be set up on consultations with the CEO, CIO and CTO, the key stakeholders and decision-makers in the cloud migration journey. This team should now be responsible for planning and executing the migration. Migration priorities and benefits should be established after due consideration.听
2. Shallow cloud integration v/s Deep cloud integration-听
   

   Shallow Cloud Integration	Deep Cloud Integration
   Application is moved to the cloud on an as-is what is basis.	Application is changed during the migration.
   Move the application to the cloud with little or no change at all.	Migration is done to take advantage of cloud capabilities, and therefore change is necessary.听
   Does not affect the business results	Can help business results if it is done right. Automation and scalability can be enhanced by using cloud infrastructure.

   3. Establish KPIs for cloud migration- The key performance indicators should be established to understand the possible benefits and how to realize those benefits. With a clear goal in mind, the chance of successful migration is much better. For example, if you want to enhance the user experience, an important KPI can be Page Load Time, Lag, response time, etc. Similarly, if you want to increase sales, important KPIs can be cart additions, conversion rate, engagement rate, etc. Thus, if you can define the key indicators, goal attainment can be much easier.
   4. Determine the readiness of your organization- Once you are clear of the benefits and KPIs you would like to achieve, you should check if your legacy system is ready for cloud migration. If your organization does not have the relevant IT talent, you can hire a consultant to check cloud readiness. Most legacy systems are not cloud-friendly and use several in-house applications to fetch data. This can be a hurdle when moving to the cloud, as these applications will require higher online capacity.To ensure a smooth migration, follow the following steps: –
      1. List your applications.
      2. List the servers, hardware, and storage these applications are using.
      3. Collect the use case of these applications from respective application heads/users.
      4. Prepare dependency maps or flowcharts.
      5. Analyze听each application to prepare cloud migration plans and disentangle dependencies wherever possible.
         
         
   5. Choose a cloud service provider- The right service provider depends on your specific requirements, although some top organizations provide most of the features. Nevertheless, you should be willing to get a detailed understanding of the benefits each cloud service provider can give and then choose accordingly. Some of the factors to be considered are as follows: –
      1. Time to market- A good听enterprise cloud software听should allow听code to be written iteratively to enable automation. A quick response to market demand requires enterprises to have automated analytics cloud platforms. Automation allows the release of new capabilities faster, thus ensuring a shorter time to market. The听enterprise cloud software听should be automation-friendly.
      2. Innovation- A good cloud infrastructure should provide access to third-party applications to support innovation. Access to a third-party ecosystem ensures advanced technologies like data aggregation, quantum computing, facial recognition, and natural language processing.
      3. Lower security risk- Cloud infrastructure service providers can invest billions of dollars in cyber security. Thus, cyber security capabilities should be considered at the time of system selection for the cloud. Analytics cloud systems should be secure against cyber-attacks and other security threats.
      4. 厂肠补濒补产颈濒颈迟测-听A good听enterprise cloud software听should allow scalability to respond to peak demand and uncertain business climate, especially in situations like Covid-19 disruptions. The cloud software should be scalable in seconds as the demand for usage increases. If the cloud is scalable, the business can be scaled without worrying about technology disruptions caused due to changing business environment. Competitiveness in the industry favors technologically scalable companies.
   6. Costs and Risks- Before selecting the correct听enterprise cloud software, you should list down all the costs and risks you are taking up. Remember, migrating to the cloud can be cost-intensive initially, depending on the size and data of the organization. You should first list down all the risks in the following categories: –
      1. Compliance risks
      2. Cybersecurity Risks
      3. Vendor Risk
      4. Cloud migration risk

A cost-benefit analysis should be done after the migration team quantifies all the risks.听

7. When finalizing your analytics cloud software, decide whether you desire Infrastructure as a Service(Iaas), or Platform as a Service(Paas), or Software as a Service(Saas). You should decide which one to use based on business requirements, business size, and scale. This decision should make use of business managers as well.

8. Prepare a cloud migration roadmap- After you have finalized the cloud service provider, you should prepare a migration roadmap with the help of the CIO, CTO, and cloud service provider. The migration can be one-time or incremental, depending on various factors. The advantage of incremental migration is that you can see some benefits accruing before you embark on more expenditure. If you can measure benefits, higher budget allocation is possible as the business gets involved in cloud migration.
9. Changing the DNA of the organization to become cloud-ready- If the cloud is integrated into the DNA of the organization, the culture of the organization will become aligned to cloud migration. This can get enhanced cooperation from all employees and thus a higher chance of adoption. This can be done as follows: –
   1. Change the thinking from projects to products- The IT Team should consider application functionality as a product that can solve a particular problem like Billing, Vendor Registration, Vendor Payments, etc. Thus, if the thinking of the IT team is product-based, cloud technologies can help automate various processes and thereby help the organization save time and money.
   2. Developer Experience- The technology development process should be redesigned end-to-end to make cloud-native experience possible for developers. This will help the organization to stay technologically relevant and solve technical problems in a cloud environment.
   3. Cloud should be abstract and automation-friendly- Complex dependencies should be avoided to ensure that the software is abstract and can be applied to various environments across different business segments. For example, the听marketing cloud software听should not reference the HR Cloud software. If the software is free of legacy dependencies, automation is possible, and the full benefit of cloud infrastructure can be realized.
10. Business Integration- The technology team should be integrated with the business team and should solve the problem from a business perspective. If the technology team understands the business, they are more likely to offer solutions that can help the business achieve better automation of various processes. Business engagement is essential in the following areas: –
    1. Budgeting- The budgeting is usually not from the technology team鈥檚 perspective. Budgeting is more likely to reflect business wants rather than technology wants. For example, the business requirement is more likely to be prioritized over automation spending. Automation spending can likely reduce technological costs in the future. Therefore, if possible, the business should be integrated at the budgeting level to ensure technological automation spending is not relegated.
    2. Collaboration-To extract full value from cloud systems, the business team should understand how to extract the value. Therefore, if there is a collaboration between the business and technology teams, the benefit of cloud migration is likely.
    3. Engineering Talent- Legacy companies have rigid hiring practices and getting a budget for cloud-specific IT talent is difficult. If the business is directly involved in cloud migration, specialized cloud technology and automation talent can be hired,听which can help the business succeed in the long term.

Business transformation on the cloud is becoming necessary and you should check out all the available service providers to help you in your journey to success. If you are looking for marketing cloud software听or general听enterprise cloud software, you can consider听. 麻豆原创 has an established reputation as an industry leader and can help your organization stay ahead.

The post How to Ensure Successful Business Transformation on Cloud? appeared first on 麻豆原创 India News Center.

New Delhi, December 8, 2021:听 India Midmarket enterprises have truly embraced the power of digital, to be more agile, flexible, and scalable. As they embark on their journey to cloud, they are gearing up to adapt to business disruptions while competently capitalizing on the changing business landscape. While priorities varied from industry to industry, the aim is to service customers better through touchless solutions, enable uninterrupted operations through automation, and provide a seamless user experience through adoption of cloud. indicated that 82% of midmarket enterprises are reducing their focus from on-premises business applications.

鈥�While digital transformation can accelerate growth, it is innovative business models, cloud transformations and reconnecting with customers which will determine long-term and sustainable success鈥� said Kulmeet Bawa, President, and Managing Director, 麻豆原创 Indian Subcontinent 鈥�The Indian midmarket segment is poised to play a significant role in the country鈥檚 quest to become a $5tn economy. 麻豆原创 is committed to co-create, empower and enable mid-market enterprises in their digital-first business and growth journey.鈥� he added.

The rising trend of digital resiliency among the midmarket enterprises showcased an increasing optimism to invest more in cloud, cybersecurity, analytics, and business intelligence. The orchestration capabilities to interoperate across different cloud environments is considered as one of the top drivers for cloud-related investments in 2022. The survey findings also indicated that 68% of midmarket enterprises either intend to increase (5-10%) or retain their IT spend in 2022. 听

The survey indicated the following key findings:

75% of Midmarket Enterprises Will Return Operations to Pre-Pandemic Levels by End of 2021

Leadership Resiliency

• 83% of enterprises are focusing on resiliency objectives like business continuity

Operations Resiliency

• 58% of enterprises have an ERP system providing full visibility of operations across different departments
  • IT & ITeS, Retail and Engineering, Construction and Operations leading this adoption

Financial Resiliency

• 58% if enterprises have introduced scorecards, visualization and simulations to analyse their financial performance to take critical business decisions

Workforce Resiliency

• 50% of enterprises are taking an integrated approach towards employee experience & engagement post the pandemic as compared to only 36% enterprises in pre-pandemic.
  • IT & ITeS and Retail are the top industries focusing on an integrated approach

Customer Resiliency

• 40% of enterprises are adopting an end-to-end approach for managing the customer journey across all departments based on customer behaviour.
  • Profound adoption by IT & ITeS, Life Sciences & Pharma, Retail and Engineering, construction & operations.

Brand and Reputation Resiliency

• 74% of enterprises in India will increase or retain their spend on IT Security, Governance & Risk Management in 2022.

鈥淔or small and midsize businesses, 2021 represent the dawn of a golden age. , it is very clear that smart business leaders are investing in cloud technologies that will help them meet their future goals. Doing so is not just what鈥檚 right for the business but also for their employees, customers, community and our country鈥檚 economy,鈥� added听Subramanian Ananthapadmanabhan, Vice President, 麻豆原创 Indian Subcontinent. 鈥淚t is heartening to witness Indian midmarket enterprises embrace the power of digital, to be more agile, flexible and scalable enterprises of tomorrow.鈥�

This study assessed over 350 Indian midmarket enterprises with an annual revenue of INR 500 Cr to INR 2000 Cr. The respondent demographics consisted of 55% CXOs and 45% directors with responses across all dimensions of digital resiliency such as Operational, Workforce and Customer, Brand and Reputation, Leadership and Organization, and financial resiliency. The industries covered by the survey were Chemicals, Industrial Manufacturing, Life Sciences, Professional Services, Retail & Consumer Packaged Goods, and Engineering, Construction & Operations.

Commenting on the study, Sharath Srinivasamurthy, Research Director, Enterprise Solutions & ICT Practices, IDC India said, 鈥淲hile the power of digital has been well embraced by the midmarket enterprises; the surveyed enterprises acknowledged agility, performance, and availability as the key drivers for adoption of cloud platforms. This rising trend of digital resiliency is prominent across industries such as manufacturing, healthcare and pharma, and professional services.鈥�

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as a sustainable intelligent enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 87% of the world鈥檚 total global commerce touches an 麻豆原创庐 system. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into sustainable intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit

For further information please contact:

麻豆原创 India

Chaya Arora

Head 鈥� India Communications

chaya.arora@sap.com

鈥�IDC Infobrief commissioned by 麻豆原创, The State of Midmarket Enterprises in India, A Perspective on Digital Resiliency, December 2021, Doc.#AP241284IB鈥�.

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