New technologies are already driving economic growth, and their impact is accelerating. By 2025, the market for AI applications and services is expected to reach nearly $40 billion, and the impact of the IoT on the global economy in terms of revenues and cost savings will exceed $11.1 trillion. More broadly, the World Economic Forum estimates the global economy is poised to unlock $100 trillion of value over the next decade by capturing the potential of these and other technologies.
Those who effectively harness the power of software and data are gaining significant advantages: 70% are growing revenues, 67% are reducing cost, 43% are reducing churn, and 59% are improving customer experience metrics.
By contrast, companies that fail to effectively leverage data risk being left behind. The average lifespan of a company listed on the S&P 500 has fallen from nearly 60 years in the 1950s to less than 20 years today.
MongoDB understands the challenges you face, and we’ve helped many companies achieve the business agility needed to not only survive but thrive in this new double-edged era of economic opportunity and disruption. By working with us you can leverage people, processes, and technology to create competitive advantage, accelerate time to value, and reduce TCO and risk. Becoming an agile organization can help you implement widespread transformation of your development team and processes to achieve faster time to market across multiple business applications and use cases. You can build new business functionality 3-5x faster, scale to millions of users wherever they are at any moment, and slash costs by 70% or more.
In today’s business environment, the only constant is change: changing markets, competitors, customer requirements, costs, pricing pressures, standards, regulatory requirements, and more. You need to build new applications and functionality to address emerging and changing use cases better and faster than ever before. Here is the problem: existing technologies, methodologies, and processes cannot support you in this quest for survival because they simply cannot keep up with the pace of business.
Companies are seeking new revenue opportunities through emerging technologies such as AI and IoT, but lack the business agility to capture them
Services are the building blocks of innovation, but creating them requires developer ‘plumbing’ and drudgery that slows development and innovation
Companies have never had so much data available from so many sources, but relational databases with rigid schema slow (or eliminate) their ability to leverage it
Organizational agility depends on a culture of collaboration between engineering teams, but traditional silos create competing objectives, KPIs, and leadership
CIOs and CDOs must promise substantial and rapid ROI to gain approval for new application development, but cost concerns can kill worthwhile initiatives
Sprawling application portfolios and dependencies between code bases lead to extended development timeframes and reduced developer productivity.
The key to achieving business agility is a combination of people, processes, and technology that equips you with the vision to connect your business strategy to your technology investments, the ability to take first strike actions, and the flexibility to adapt to unexpected business developments. MongoDB can help you generate revenue, slash churn, outflank competitors, capture new market opportunities, and optimize both operational efficiency and cost. In short, it’s time to stop fearing change, and time to start (profitably) embracing it.
MongoDB has helped many companies improve business agility. Our professional services team works with you to build an in-house Innovation Accelerator, delivering faster time-to-market across multiple business applications and use cases. Our Innovation Accelerator program comprises two types of workstreams: Program Activities and Application Activities. Completed cycles of application development continually feed back into program activities with quality reviews, which provides ongoing optimization of the overall business agility roadmap.
MongoDB Professional Services Innovation Solution Kits provide design patterns for common use cases, including those below, with reference architectures and technical standards for enterprise architecture objectives such as a move to the cloud, or to microservices. We provide technical blueprints, governance, and consultative expertise to help you take advantage of trends and capture new opportunities by rapidly producing new apps and new systems of engagement.
Deploy in the cloud in minutes with MongoDB Atlas, our database as a service (DBaaS). Atlas runs on all leading cloud platforms so you can focus on apps, not ops.
Deploy a MongoDB cluster across the globe or use to MongoDB Atlas, our Database as a Service, for coverage in 60+ regions of all the major cloud providers
Accelerate development of new business functionality
Build responsive, always-on apps and get them to market 3-5x faster
Get a jump on competitors by capturing new revenue opportunities first
Accelerate application development by removing complexity and administrative overhead
Free your teams to focus on adding value rather than managing infrastructure
Break through organizational silos to get all parts moving in the right direction together
Rapidly integrate transformational technologies such as AI; intelligence at the edge, including IoT and blockchain; location and geospatial; smart devices, and more across your application portfolio
Unlock the power of the data you already have in existing systems by eliminating silos
Combine all data from all sources to provide richer analytic insights
Deliver resilient applications while reducing costs by 70% or more
Tap into the expertise of consultants who have built and rolled out thousands of apps
Deliver rapid, substantial ROI on current deployments while creating a more receptive audience among the C-suite and board for future projects
Business agility gets you up to speed quickly to achieve faster time to market across multiple business applications. Example use cases include:
Quickly incorporate the IoT into your business model by capturing rich new sources of data from networks of newly-connected devices, and combine it with all other relevant data to gain important new insights.
MongoDB helps your development team accelerate innovation and bring new IoT apps online faster. It provides the flexibility, agility, and scalability to meet the data demands of the IoT.
If you can’t do real-time, you can’t do business. Empower your people with real-time, actionable analytic insights so they can be more responsive to customer needs and changing business conditions.
Integration with Apache Spark enables stream processing of data so MongoDB can serve analytics results back into live, operational processes. This helps users unlock real-time insights based on the freshest data.
Unleash AI to process and act on data faster than humanly possible, and to create and automate functionality across the organization, speeding processes and enhancing customer experiences.
Data is the fuel for AI; you need a platform that can endure the rigors of AI application development and model training. MongoDB provides a flexible, scalable, performant, distributed platform to help you quickly build AI into your operations.
Bitcoin and other cryptocurrencies generated interest in blockchain, but most industries are now exploring its use. You can deploy blockchain technology to remove friction from business processes and build systems of trust for value exchange.
Run MongoDB as the data layer for your blockchain apps, and integrate blockchain data with enterprise data for a complete view and analysis of your enterprise assets.
Traditional manual approaches can no longer keep pace with global security threats. Use big data-driven machine learning to automate security processes, and build cybersecurity applications systems that can evolve as rapidly as the threats.
Cybersecurity success or failure is measured in milliseconds. MongoDB combines enterprise-grade security with the MongoDB query language (MQL) and rich secondary indexes so developers can build cybersecurity applications that return responses in milliseconds.