MongoDB Quick Guide to Customer Success
MongoDB’s Customer Success team is here to make sure you get the most from your investment in our products. Access to Customer Success is free-of-charge and part of the purchase when you sign on with MongoDB. This guide will help your team clearly understand your MongoDB journey and key milestones, our professional services offerings, additional product capabilities, and the extensive library of MongoDB resources available to you. Download the MongoDB Quick Guide to Customer Success to understand how MongoDB supports your team from planning and building your application, to launch, and beyond. This Quick Guide covers: The Customer Success function at MongoDB Your journey at MongoDB Planning for development and achieving your business goals Building the application Launching your product Running the application and maximizing performance Optimizing your solution as your business objectives evolve MongoDB professional services MongoDB training and professional certifications Support at MongoDB Resources available from MongoDB
MongoDB named a Leader in The Forrester WaveTM: Translytical Data Platforms, Q4 2022
Forrester evaluated the MongoDB Atlas developer data platform as a Leader in translytical data platforms, demonstrating to us the platform and customer momentum MongoDB has established in the market. Translytics represents the growing convergence between transactional, analytical, and streaming systems. The goal of translytics is to help organizations increase the speed of business insights and build smarter apps. MongoDB was rated by Forrester among the 15 top vendors for its current offering, strategy, and market presence, and landed among the Leaders. Forrester gave MongoDB the highest scores possible in these criteria: Number of customers Performance Scalability Dev Tools/API Multi-model Streaming Cloud / On-prem / distributed architecture Commercial model We believe that our MongoDB Atlas developer data platform unifies the core data services needed to make smarter apps and improved business visibility a reality by seamlessly bridging the traditional divide between transactional and analytical workloads in an elegant and integrated data architecture. Download the full report free, ungated, The Forrester WaveTM: Translytical Data Platforms, Q4 2022, and find out why Forrester positioned MongoDB as a Leader.
Forrester Study: What’s Driving Next-Generation Data Platform Adoption in Financial Services
MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations to evaluate the impact they are experiencing when adopting next-generation data platforms – which have become foundational for financial services to address diverse new workloads and modern applications. Download the 'What’s Driving Next-Generation Data Platform Adoption in Financial Services' study to learn about organizations’ needs and plans for using next-generation data platforms. Study highlights: Nearly 90% of respondents say they are using a next-generation platform today, with 51% planning/currently using it for fraud detection, and 46% for risk management/analytics Multi/hybrid cloud is the top feature driving investment High costs and complexity are the top challenges respondents are facing with their current database Legacy infrastructure is too expensive and cannot keep up with current and future demand The benefits respondents are experiencing when adopting next-gen data platforms include minimizing data inconsistencies, expanding geographical coverage, and freeing up resources
Application-Driven Analytics: In-App and Real-Time Insights for Retailers
Build deeper business insights with in-app analytics and real-time business visibility In today’s competitive digital ecommerce landscape, retailers are fighting for the attention of shoppers who are tech-savvy, mobile, and receiving ads for hundreds of deals and promotions across multiple platforms every day. Today’s consumers expect personalized digital shopping experiences that offer dynamic and relevant recommendations, too. Modern retail applications will be defined by their ability to drive better customer experiences, surface insights, and take action directly within the application on live operational data, in real time. As analytics “shift left” to the source of the data, application developers take on the task of delivering next generation data analytics to their organizations. Application-driven analytics can be leveraged to meet two broad use cases: In-App Analytics and Real-Time Business Visibility. This paper reviews: How retailers can improve internal operations using the capabilities of the MongoDB developer data platform through both in-app analytics and real-time business visibility A personalization use case that includes integration with external machine learning engines like Amazon SageMaker and Databricks Fill in the form with your details to read the white paper.
Maximizing Business Value with Data Platforms, Data Integration, and Data Management
One of the critical objectives for data- and analytics-driven is to maximize the value of data platforms with data integration and data management capabilities. In its latest report on IT modernization, analyst & research firm TDWI surveys tech leaders, developers, data scientists and analysts, and solutions architects to find out how they're meeting current and future demands for maximizing the value of data. The report covers the following key considerations for organizations in the process of modernizing or planning to modernize: Keeping pace with business change Platforms, integration, management priorities Data management for different use cases Data integration for speed, new workloads, and complexity Distributed data: Data fabric, data mesh The report offers recommendations and best practices for maximizing the value of data and strategies for modern data applications. It also reveals today's top drivers of business modernization and the importance of cloud migration for achieving modernization objectives. Read the full TDWI report, Maximizing the Business Value of Data: Platforms, Integration, and Management.
ESG showcase: Win in the cloud with database-as-a-service
As traditional databases become less efficient in the face of constant change, organizations are looking to the cloud for flexibility – but migrating to and operating in the cloud can be quite difficult. In fact, ESG research indicates that 76% of organizations consider operational management in the cloud to be challenging or very challenging, which impacts their cloud-based management and analytics strategy. Access this ESG Showcase to learn how organizations can succeed by embracing a managed services model - database-as-a-service - to facilitate their cloud journey and to leverage the collective skills of MSPs and leading cloud platform providers.
Implementing an Operational Data Layer for Product Catalog Modernization
For a seamless digital, in-person or omnichannel experience, retail data needs to be consistent and available in real-time for a number of different retail front ends- the ecommerce website, the customer facing application, in-store workforce applications, POS devices and more. The creation of the operational data layer for the product catalog can be the start in a journey to move away from legacy tech all together. Retailers will begin to build functionality, analytical insights and use the product catalog as a point to begin to redevelop existing applications. The maturity curve in retailers follows a staged approach, transforming the role of the data layers. Product catalog data management is a complex problem for retailers. Read this paper to learn: Modernization drivers and common problems with legacy product catalogs How to architect an operational data layer for product catalogs Create, enrich, and offload reads and writes to make an ODL system of transaction and system of record
Search in Financial Services: Optimizing Information Discovery with MongoDB Atlas
To compete in today’s environment, financial services must leverage technology to create responsive and agile systems as well as user customer experiences. With users expecting internet-like search capabilities, financial institutions must adopt search mechanisms that are easy and intuitive to use in order to solve for a variety of user and applications needs, ranging from internal research investigation to information discovery for external customers. Current standard banking platforms can easily hold over 100,000+ tables in their relational databases, which make searching for information pernicious and costly. You’ll find institutions adopting specialized search engines on top of their relational databases. However, bolting on a search engine adds the operational overhead of maintaining three separate systems (search engine, database, and sync mechanisms). Combining MongoDB Atlas and Atlas Search, financial institutions can reduce operational overheads whilst transforming customer engagement and internal efficiencies. Download this white paper to gain a detailed understanding of the following: Current search capabilities and faults in financial services. Search Use Cases ranging from online banking platform, process overview to sanctions screening. How MongoDB solves search and more.
IDC White Paper: Effective Data Management Is Essential for Taming the 5G Network Complexity Beast
5G services are breeding new expectations for both consumers and business/enterprise customers. Millions of users and billions of connected devices (mobile phones, purpose-built Internet of Things [IoT]) — and scores of applications residing on these devices — each have their own operational policies to ensure adequate network performance, service availability, and quality of experience. This paper explains why a modern data platform built on the principles of dependability, adaptability, flexibility, scalability, and availability is so essential for addressing transformational change in today's rapidly evolving real-time business environment. Increased automation needs and AI-driven operations depend on a developer data management platform such as MongoDB that can satisfy these requirements while addressing rising network and operations complexity along with growing customer expectations.
Application-Driven Analytics: Defining the Next Wave of Modern Apps
The digital economy demands smarter applications and faster business insights. To meet these demands, analytics has to be “shifted left” to the source of the data, to the applications themselves. We call this shift application-driven analytics. And it’s a shift that both developers and analytics teams need to be ready to embrace. In this paper, we will define application-driven analytics along with its use cases and business drivers. We’ll then discuss the foundational capabilities needed to deliver on smarter apps and real-time business insights before wrapping up with examples of customers already on this journey.
MongoDB adds security seasoning to further distinguish core MongoDB from other NoSQL fare
451 Research just released coverage of MongoDB’s newest security features following MongoDB World 2022 — and we’re proud to share their confidence in the security outcomes we’re enabling for our customers. In their in-depth glance at MongoDB’s recently expanded security functionality, 451 Research affirmed that “MongoDB’s approach to build security directly into its platform is commendable, as it removes commercial barriers to secure by default, secure by design system design principles. Positioning MongoDB as a whole to be secure by default, secure by design greatly clarifies the go-to-market message while better appealing to development, infrastructure and security customer stakeholders”. You can read the full write-up here to learn more about the recent moves that MongoDB has made to bake leading security solutions into our innovative developer data platform.
MongoDB: Capabilities for Use in a Zero Trust Environment
Zero trust presents a new paradigm for cybersecurity. In a zero trust environment, the perimeter is assumed to have been breached. There are no trusted users, and no user nor device gains trust simply because of its physical or network location. Every user, device, and connection must be continually verified and audited. Because databases contain so much of an organization’s sensitive (and regulated) information, as well as data that may not be sensitive but is critical to keeping the organization running, it’s imperative that your database is ready and able to work in a zero trust environment. This paper will demonstrate MongoDB’s ability to be integrated into a zero trust environment. We’ll also explain some of the security measures that protect our cloud-based database, Atlas, and the rules governing employee access. And for our government customers, MongoDB Atlas for Government is FedRAMP Ready and in-process with HHS as the agency sponsor!