Streaming Why a Streaming First Approach to Digital Modernization Matters
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Organizations today are collecting more data than ever and depending on the IT architecture, it can live anywhere. With executives pushing to move to cloud and reimagine existing processes, it can be difficult for teams to answer the call and integrate data from all of their mission-critical systems. And, even if you can find a way to integrate the data, how do you know that data can be trusted and accurately represent what is happening in real-time? Join the session to learn how to expand existing uses for data that already exists in your enterprise through a streaming first lens.
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Streaming Why a Streaming First Approach to Digital Modernization Matters
- 1. Why a streaming first approach to digital modernization matters Ashwin Ramachandran | Senior Director, Product Management
- 2. Housekeeping Webinar Audio • Today’s webcast audio is streamed through your computer speakers • If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides
- 3. Moving to the Cloud is a priority
- 4. “85% of organizations will embrace a cloud-first principle by 2025” - Gartner “55% of leaders cite data modernization as the reason for their shift to cloud” - Deloitte “Approximately $100 billion of wasted migration spend is expected over the next three years” - McKinsey & Company So despite the excitement around getting to the cloud, organizations need to be careful…
- 5. Migration comes at a heavy cost McKinsey & Company recently conducted a study that shows that: • Over 75% of cloud migration projects are overbudget • 37% is spent on systems integrators since they do not have the cloud skills in house to manage these projects • 15% on decommissioning costs for other platforms • 38% of cloud migration projects run behind schedule • Companies are looking to staff 50% of their cloud talent in house so they do not need to rely as heavily on third parties (If you are interested in learning more about this topic, all of this data came from this McKinsey Study https://www.mckinsey.com/industries/technology-media-and-telecommunications/our- insights/cloud-migration-opportunity-business-value-grows-but-missteps-abound)
- 6. Getting data to the cloud is only the first step
- 7. 47% of newly created data records have at least one critical error 68% of organizations say disparate data negatively impacts their organization 84% of CEOs say that they are concerned about the integrity of the data they are making decisions on Data Trends Survey 2019 Forbes HBR Data integrity is a business imperative
- 8. Successful digital modernization programs are fueled by pipelines that are trusted and deliver data in a way that fits your needs
- 9. A single solution for all your business demands 1 Resilient & Fault- Tolerant Replication 2 Scalability & Performance 3 Design Once, Deploy Anywhere 4 Data When & Where You Need It
- 10. Precisely's single solution for all your business demands Consistency Accuracy Context Data Integration Data Observabil ity Data Quality Geo Addressing Spatial Analytics Data Governanc e Data Enrichment Data Integrity Foundation
- 11. Data Integration Break down data silos by quickly building modern data pipelines that drive innovation
- 12. Positioning IT Teams for Success Systems are accurate and current • Data lakes are current and relevant • Data from mainframe, IBM i, and other disparate systems can be used for modern cloud- based projects Democratizing the Data • No need for SME or 3rd party support for cloud or legacy systems • Single solution that can leverage data where it lives and keeps it easy to manage Making the most out of current architecture • Future-proof architecture • No need to maintain homegrown processes for integration
- 13. Helping thousands of customers solve strategic problems Connect empowers customers to solve strategic problems like: • Reduce time to market of revenue generating applications • Simplify data integration and data life cycle • Ensure a better customer experience • Enable the adoption of new platforms for strategic data initiatives including • Increase the value of cloud investments • Gain strategic value from all your enterprise data • Meet regulator and compliance requirements for data integration
- 14. Data Governance Manage data policy and processes with greater insight into your data’s meaning, lineage, and impact
- 15. 15 Organizations that use a streaming first approach to data build a competitive advantage The demand for trusted data has never been greater The Data Integrity Suite is your one-stop shop for data integrity 1 2 3 Precisely is here to help on every step of your journey to data integrity
- 16. Questions?
Notes de l'éditeur
- But first, we want to take a minute to discuss the importance of cloud and how it is driving businesses. It is clear that moving to cloud, and doing so quickly is a priority.
- Research shows that: 85% of organizations will embrace a cloud-first principle by 2025 55% of leaders site data modernization as the reason for their shift to cloud Approximately $100 billion of wasted migration spend is expected over the next three years So despite the excitement around getting to the cloud, organizations need to be careful…
- Because moving to cloud comes with a heavy cost if not done strategically. McKinsey & Company recently conducted a study that shows that: Over 75% of cloud migration projects are overbudget 37% is spent on systems integrators since they do not have the cloud skills in house to manage these projects 15% on decommissioning costs for other platforms 38% of cloud migration projects run behind schedule Companies are looking to staff 50% of their cloud talent in house so they do not need to rely as heavily on third parties (If you are interested in learning more about this topic, all of this data came from this McKinsey Study https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/cloud-migration-opportunity-business-value-grows-but-missteps-abound)
- And you can certainly find any number of articles and surveys in the press, or analyst reports, that dig into this issue of data integrity. Here you see just a few stats from Forbes, the Harvard Business Review, and Precisely’s own Data Trends Survey. When two-thirds of organizations say siloed data negatively impacts their data initiatives and almost half of newly created data records have at least one critical error, it is no wonder that 84% of CEOs doubt the integrity of the data on which they make decisions!
- Why you would use a technique like change data capture
- For a cloud-native solution that addresses all your business demands we have the Data Integrity Suite. The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed. The seven modules of the Data Integrity Suite are built on proven Precisely technology. Not only do the Suite’s modules work seamlessly together, they also work alongside the portfolio of Precisely products, enabling you to easily adopt Suite capabilities for new use cases whenever you choose All elements sit on a common foundation that’s modular, interoperable, intelligent, and business friendly. The foundation provides a range of services, including a metadata management engine that shares data between the modules and third-party programs to deliver incremental value.
- The first module is Data Integration. Typically, in any major data initiative, you first need to connect to sources, and sometimes move or replicate data to another environment. With Data Integration, you can easily create streaming data pipelines that integrate data from core environments such as relational, and of course, mainframe and IBM I, with modern cloud-based data platforms like Snowflake to drive analytics and innovation and extend the value of your mission-critical systems. We understand that pipelines must scale for your needs today and extend for tomorrow. As you’ll see in the demo in a few minutes, you’ll notice how easy it is to build powerful pipelines fast. And with our open microservices architecture, you’ll be able to easily integrate your data pipelines into larger data transformation initiatives. Benefits: Build new revenue-driving applications by integrating data from disparate systems with modern cloud-based platforms Extend the value of your mission-critical systems – everything from open systems databases to mainframe and IBM i Democratize your data by making it accessible to more areas of the business Future-proof your architecture to remain flexible when onboarding new applications and use cases Integrate complex data formats into projects with no coding or specialized skills necessary
- The capabilities across our offerings are built to position IT teams for success. It enables systems to be accurate and up to date, by leveraging real-time replication. We democratize your enterprise data so that more users in the business can make trusted, data-driven decisions. And we save your organization time and money by helping you make the most out of your current architecture.
- Connect empowers customers to solve strategic problems like: Reduce time to market of revenue generating applications Simplify data integration and data life cycle Ensure a better customer experience Enable the adoption of new platforms for strategic data initiatives including Increase the value of cloud investments Gain strategic value from all your enterprise data Meet regulator and compliance requirements for data integration
- Data Governance module and the catalog are leveraging the proven technology we already have in place with Data360. This is one example of where we’re not building new, but packaging strengths we already have. Next, I’d like to introduce the Data Governance module, which has a unique business-first approach, with focus on ease of use and a flexible metamodel to adapt to how your business runs and communicate the trustworthiness of data to ensure outcomes are achieved and socialized across all users. When you access data, such as that sales pipeline report, do you always have the necessary context? Data governance enables you to see additional details, such as the definitions of the fields, who else in your team has accessed the report recently, lineage of where the data came from, or when there is sensitive data. And through integration with the Suite, you can automate semantic classification, relationship mapping, and monitoring, which removes significant manual effort to elevate your team’s productivity in a governed environment.