Publicité
Publicité

Contenu connexe

Similaire à How to Elevate Enterprise Intelligence in Your Organisation(20)

Plus de Denodo (20)

Publicité

How to Elevate Enterprise Intelligence in Your Organisation

  1. How to Elevate Enterprise Intelligence in your Organization DENODO WEBINAR | ASEAN
  2. SPEAKERS Paul Moxon SVP Data Architecture and Chief Data Evangelist Denodo Katrina Briedis Sr. Product Marketing Manager Denodo
  3. AGENDA 1. Enterprise Intelligence 2. What is a Data Control Plane? 3. What is the role of Data Virtualization? 4. The Logical Data Platform 5. Next Steps
  4. Enterprise Intelligence
  5. 5 By 2023, 60% of enterprise intelligence initiatives in APEJ will be business specific, purpose built for business, shortening the data to decisions time frame by 30%, driving higher agility and resiliency. Enterprise Intelligence is an organization’s capacity to learn combined with its ability to synthesize the information it needs in order to learn and to apply the resulting insights at scale within a strong data culture that enables organizations to improve business outcomes.
  6. 6 The Data Analytics Environment will be increasingly Hybrid, with New Investments being planned for Cloud Deployments Ambitions of Enterprise Intelligence By 2024, over 30% of A2000 companies will run AI workloads distributed more evenly from core to edge to cloud and will be managed by AI software platform providers, making the infrastructure invisible. By 2025 in APJ, Public Cloud Services deployments of BI, Analytics, and Data Management workloads will outgrow traditional on-premises usage. >30% By 2025, 30% of APEJ small and medium-sized businesses (SMBs) will have adopted cloud-native data-driven apps intelligently adapting their behaviour to the business’ needs. 30%
  7. 7 Demand for Specialized Data Management (Graph, Stream Processing) will rise Ambitions of Enterprise Intelligence By 2025, 30% of A2000 enterprises will deploy graph databases, recognizing this technology’s applicability to a growing set of use cases involving relationship, influence, path, and pattern analysis. 30% By 2025, 40% of spending on data capture and movement technology in APEJ will be on streaming data pipelines, enabling a new generation of real time simulation, optimization, and recommendation capabilities. 40%
  8. 8 Relational Data Warehouses and Data Lakes will draw sustained investments; Analytics to become more democratized and augmented. Ambitions of Enterprise Intelligence By 2023, 25% of APEJ enterprises will have headless analytics embedded into the business, thereby improving real-time operational decision making and achieving process automation. 25%
  9. 9 Enhanced Focus on Data Science and AI Applications Ambitions of Enterprise Intelligence By 2022, at least 55% of A2000 companies will leverage AI tools, such as NLP, ML, and DL business wide, to enable 55% of use cases across areas, such as CX, security, facilities, and procurement. >55% By 2023, 60% of enterprise intelligence initiatives in APEJ will be business specific, purpose built for business, shortening the data to decisions time frame by 30%, driving higher agility and resiliency. 30% By 2025, 10% of A500 companies will incorporate scientific methods and systematic experimentation at scale, resulting in a 50% increase in product development and business planning — outpacing peers. 50%
  10. 10 Enterprises will Explore Avenues to Monetize Data and Form External Data- Based Ecosystems Ambitions of Enterprise Intelligence By 2023, 40% of A2000 companies will have active development teams seeking to externally monetize their data to enhance traditional offerings, drive innovation, or deliver data and analytics as a service. 40% By 2023, 40% of A1000 enterprises will be involved in intercompany intelligence sharing based on common standards, values, and goals, strengthening mutualism in ecosystem relationships by 50%. 40% By 2024, 40% of A2000 enterprises will form data-sharing partnerships with external stakeholders via data clean rooms to increase interdependence while safeguarding data privacy and precious data assets. 40%
  11. 11 Barriers to Successful Enterprise Intelligence Initiatives
  12. 12 Are these the same types of challenges faced across other regions? Global Perspective
  13. What is a Data Control Plane?
  14. 14 What is a Data Control Plane? Source: IDC, Data Control Plane: An Architecture for Data Enablement, #US45633720
  15. 15 Data Intelligence leverages business, technical relational and operational metadata to provide transparency of data profiles, classification, quality, location, lineage and context – thus enabling people processes and technology with trustworthy and reliable data. Defined Layers of the Data Control Plane The governance layer of a data control plane is a conduit for control and monitoring of data intelligence and engineering activities. It includes data controller, policy engine, and observability components. Capabilities in Data engineering layer are those functions that are associated with ingestion, transformation, replication, data cleansing, and data orchestration. Data integration forms a key domain under this layer Data Control Plane Layers Data Intelligence Layer Governance Layer Data Engineering Layer Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB
  16. 16 Combines a holistic set of data activities to manage and control the holistic behaviour of people and processes in the use of distributed, diverse, and dynamic data Benefits § A data control plane should provide for situational awareness, policy management, and a capability to directly regulate behaviour but not restrict organizational enablement with data. § Data control plane adds the missing functional characteristics of a fabric or mesh, and it accounts for the notion of distributed data across a plane of hybrid cloud environments. § Data control plane architectures do not promote rip and replace of existing technologies, but enable the integration, orchestration, and automation of disparate data integration and intelligence capabilities. Bridging the Gap Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB
  17. 17 Is the Data Control Plane similar to other architectural patterns? Data Architect Perspective
  18. What is the Role of Data Virtualization?
  19. 19 Achieving Data Integration and Boosting Data Management Data Virtualization Data Virtualization is an approach to Data Integration that allows creation of a unified view of data (irrespective of formats and sources) without replication and movement of data at source. Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB
  20. 20 Plays a Key Role in the Data Control Plane Source: IDC, Data Control Plane: An Architecture for Data Enablement, #US45633720
  21. 21 Data Virtualization—Powered Data Control Plane in Action Benefits § Harness Data Analytics & AI Initiatives Effectively § Accomplish Integration - during cloud deployments and/or integration between on-premises and cloud applications § Integrate Big Data Workloads § Ensure Seamless Data Governance § Data Delivery Platform § Customer 360-Degree View / Master Data Management
  22. 22 Can Data Virtualization elevate Enterprise Intelligence? Data Architect Perspective
  23. Logical Data Platform
  24. 24 Denodo Platform: ONE Logical Platform for All Your Data Logically Integrate, Manage, and Deliver Distributed Data ANY DATA SOURCE ANY DATA CONSUMER ANY PLATFORM ENVIRONMENT On-Premises | Cloud | Multi-Cloud | Containerized Data Governance Tools BI Dashboard Report and Tools Data Science & Machine Learning Apps Mobile & Enterprise Apps Microservices Apps DB, DW & Data Lakes Files Cloud DB & SaaS Streaming Data & IoT Cube Smart Query Acceleration AI/ML Recommendations & Automation Advanced Semantics & Active Data Catalog Unified Security & Governance Logical Data Abstraction Real-Time Data Integration
  25. 25 Logical Architecture
  26. Key Differentiators EASE OF USE Intuitive easy to use interface to drive data democratization and discovery FAST QUERY RESPONSE Query optimization returns results faster resulting in better compute and reduced costs INTEGRATED ACTIVE DATA CATALOG Provides a semantically driven experience to help data discovery and governance UNIVERSAL CONNECTIVITY Integrate to over 150 data sources MODERN DATA SERVICES API LAYER Deliver data through a single schema accessible through a modern API layer DYNAMIC DATA MASKING Provides enhanced data governance capabilities AUTOMATED CLOUD MANAGEMENT scale up or scale down to take better manage costs associated with peak use
  27. 27 Data Architect Perspective Can you share some examples of a logical approach being used successfully to elevate Enterprise Intelligence?
  28. Next Steps
  29. 29 Get Started Today Try Denodo for a Test Drive with a 30- day free trial in the cloud marketplaces CHOICE Under your cloud account SUPPORT Community forum AND remote sales engineer OPPORTUNITY 30 minutes free consultation with Denodo Cloud specialist denodo.link/TD2022
  30. IDC InfoBrief: Enterprise Intelligence Unlocked Assessing the Central Role of Data Control Plane and Data Virtualization denodo.link/infobrief
  31. Thanks! www.denodo.com info@denodo.com © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.
Publicité