output.json

{
    "Results": {
        "_mkt_trk_prod": "157-GQE-382",
        "_mkt_trk_preprod": "068-QNU-696",
        "BenefitHeading": "Benefit of advancing your ",
        "QuartKeys": {
            "Q0": {
                "Order": 0,
                "Name": "Above and beyond",
                "ToolTip": "Data platform constantly evolves to adapt to emerging needs and wants of the business. Opportunities to create value through data and evolve the business model and operations are proactively sought."
            },
            "Q1": {
                "Order": 1,
                "Name": "Transformative",
                "ToolTip": "Business insights are attained through a sophisticated data platform and an optimized data lifecycle. Data and analytics capabilities enable new business processes, create new value, and transform business operations."
            },
            "Q2": {
                "Order": 2,
                "Name": "Predictive",
                "ToolTip": "There’s a comprehensive data acquisition strategy and key metrics are well defined and understood by decision makers. Advanced BI and analytics tools are used for predictive modeling and lead decision making."
            },
            "Q3": {
                "Order": 3,
                "Name": "Informative",
                "ToolTip": "Structured data is monitored, managed, and maintained to inform the business on how to improve existing processes."
            },
            "Q4": {
                "Order": 4,
                "Name": "Reactive",
                "ToolTip": "Structured data is transacted and managed locally. Data is used reactively."
            }
        },
        "Sections": [
            {
                "Id": "OLTP",
                "Order": 0,
                "Name": "Operational Databases",
                "ShowDetail": false,
                "Benefit": "Organizations with leading data and analytics capabilities recognize that data is a strategic asset which helps differentiate them in the market. Leading enterprises are getting more from their transactional data than ever before, with new in-memory technology, enhanced high availability, the latest in security, and the ability to run Tier 1 workloads both on-premises and in a hybrid cloud. Microsoft’s SQL Server 2016 delivers breakthrough mission-critical capabilities with in-memory performance and operational analytics built-in. Comprehensive security features like new Always Encrypted technology help protect your data at rest and in motion, while enhancements to Always On enable world-class high availability and disaster recovery, all backed by enterprise-grade support. Organizations will gain deeper insights into all of their data with new capabilities that enable advanced analytics directly within the database and present rich visualizations on mobile devices. SQL Server 2016 brings you the benefits of the hybrid cloud with new scenarios such as Stretch Database technology that lets you cost-effectively stretch your warm and cold transactional data to Microsoft Azure. A consistent database platform across on-premises and cloud enables you to easily build, deploy, and manage hybrid solutions that complement your existing on-premises investments.",
                "Link": [
                    {
                        "LinkDisplay": "SQL Server 2016",
                        "LinkURL": "https://www.microsoft.com/en-us/cloud-platform/sql-server"
                    },
                    {
                        "LinkDisplay": "Azure SQL Database",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/sql-database/"
                    },
                    {
                        "LinkDisplay": "DocumentDB",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/documentdb/"
                    },
                    {
                        "LinkDisplay": "SQL Server Stretch Database",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/sql-server-stretch-database/"
                    }
                ]
            },
            {
                "Id": "EDW",
                "Order": 1,
                "Name": "Data Warehouse",
                "ShowDetail": false,
                "Benefit": "Organizations with the leading data and analytics capabilities are partnering with Microsoft and their portfolio of data warehousing solutions available across on-premises and cloud. Microsoft SQL Server solutions have proven, industry-leading in-memory technologies that enable you to scale and perform without expensive hardware. But it’s not just about the relational data. Microsoft understands that most organizations are actively exploring big data and advanced analytics technologies to leapfrog the competition. This is why we include R Server now built-in to SQL Server, giving you in-database analytics for the millions of trained data scientists who use R at no additional cost. With the multi-threaded math libraries and transparent parallelization of R Server, you can train more accurate models for better predictions than previously possible. You can also leverage Azure—Microsoft’s intelligent cloud—to introduce big data, real-time analytics, machine learning, or cognitive services to perform advanced analytics on your data",
                "Link": [
                    {
                        "LinkDisplay": "Azure SQL Data Warehouse",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/sql-data-warehouse/"
                    },
                    {
                        "LinkDisplay": "SQL Server 2016",
                        "LinkURL": "https://www.microsoft.com/en-us/cloud-platform/sql-server"
                    }
                ]
            },
            {
                "Id": "EDL",
                "Order": 2,
                "Name": "Data Lake",
                "ShowDetail": false,
                "Benefit": "Data volumes are expanding tenfold every five years and much of the growth is coming from non-relational data driven by devices and the Internet. Organizations with the leading data and analytics capabilities are storing and analyzing non-relational data in big data processing systems. They do this to uncover impactful insights into their business like being able to create a personalized experience that changes based on customer behavior and even offering recommended products that include dynamic discounts for personalized shopping experiences. However, big data is challenging with limited skillsets available and immature tooling. Microsoft paid special focus to solve this by making big data easier for administrators, developers, data scientists, and business analysts. In the hands of more users, big data can transform your business so that everyone will be making data-driven decisions and running experimentation to find new insights.",
                "Link": [
                    {
                        "LinkDisplay": "Azure Data Lake Store",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/data-lake-store/"
                    },
                    {
                        "LinkDisplay": "Azure Data Lake Analytics",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/data-lake-analytics/"
                    },
                    {
                        "LinkDisplay": "HDInsight",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/hdinsight/"
                    }
                ]
            },
            {
                "Id": "BI",
                "Order": 3,
                "Name": "Business Intelligence",
                "ShowDetail": false,
                "Benefit": "Organizations with the leading data and analytics capabilities recognize that data is a strategic asset which helps differentiate them in the market. Leading enterprises have pursued a strategy of aggressively and systematically collecting data and deploying systems to process and manage a large influx of data, generate business insight, and take action based on analytical models, while simultaneously protecting sensitive or confidential information. Microsoft offers comprehensive BI capabilities that can meet the needs and skillset of everyone across your organization from business users who need easy-to-understand data visualizations to make smart decisions, to business analysts looking for robust tools to customize their reports, to IT personnel in charge of ensuring BI tools and data are secured, connected, and cohesive. Microsoft BI solutions work together to inspire, ignite, and instill a data culture helping organizations realize the benefits of their data and analytics investments across business functions. By providing the right insights at the right time to the right people, they can make informed decisions that help drive the business forward.",
                "Link": [
                    {
                        "LinkDisplay": "Power BI",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/power-bi-embedded/"
                    },
                    {
                        "LinkDisplay": "Power BI Embedded Excel",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/power-bi-embedded/"
                    },
                    {
                        "LinkDisplay": "Hadoop",
                        "LinkURL": "https://azure.microsoft.com/en-us/solutions/hadoop/"
                    },
                    {
                        "LinkDisplay": "Apache Spark ",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/hdinsight/apache-spark/"
                    }
                ]
            },
            {
                "Id": "AA",
                "Order": 4,
                "Name": "Advanced Analytics",
                "ShowDetail": false,
                "Benefit": "Organizations with the leading data and analytics capabilities recognize that data is a strategic asset which helps differentiate them in the market. You can democratize business analytics with solutions and platforms that empower you to transform your business by unlocking insights from data. With Microsoft Advanced Analytics solutions such as Cortana Intelligence Suite and Microsoft R, it’s now possible to create and execute advanced analytics wherever data lives—whether it’s in the cloud or in on-premises data stores—to deliver deeper insights and predictive results for smarter, more confident decisions. Get into production quickly with proven solutions built by experts, process data where it lives, and deliver results where you need them. These fast, reliable, and scalable solutions let you handle big data assets with internal distributed processing and deliver results seamlessly with mobile and enterprise applications and dashboards.",
                "Link": [
                    {
                        "LinkDisplay": "Machine Learning",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/machine-learning/"
                    },
                    {
                        "LinkDisplay": "Microsoft R Open",
                        "LinkURL": "https://mran.microsoft.com/open/"
                    },
                    {
                        "LinkDisplay": "R Services on SQL Server 2016",
                        "LinkURL": "https://msdn.microsoft.com/en-US/library/mt604845.aspx"
                    },
                    {
                        "LinkDisplay": "R Server",
                        "LinkURL": "https://azure.microsoft.com/en-us/services/hdinsight/r-server/"
                    }
                ]
            },
            {
                "Id": "Cloud",
                "Order": 5,
                "Name": "Cloud Infrastructure",
                "ShowDetail": false,
                "Benefit": "Organizations with leading data and analytics capabilities are putting public and private cloud to work with flexible and highly scalable infrastructure for development and test, backup and failover, and deploying mission-critical applications in the cloud. With Microsoft data management solutions, you can create cost-effective, secure, and highly scalable solutions in a private cloud, public cloud, or a hybrid of the two. You can integrate operations with data and services from virtually anywhere, using familiar tools for development and management. SQL Server 2016 enables hybrid cloud solutions such as cloud backup and cloud high availability to reduce costs and improve on-premises disaster recovery. With SQL Server 2016, you can securely stretch large SQL Server tables to Azure and seamlessly query the data using Stretch Database technology for cost-effective cold data availability. Microsoft Azure gives organizations the flexibility to run SQL Server workloads in Azure Virtual Machines for complete control. Azure SQL Database is a fully managed service, ideal for building applications that can take advantage of massive cloud scale. With high availability built-in and near-zero administration, SQL Database provides reliable, predictable performance. Make building and maintaining applications easier and more productive with built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection.",
                "Link": [
                    {
                        "LinkDisplay": "Microsoft Azure",
                        "LinkURL": "https://azure.microsoft.com/en-us/overview/what-is-azure/"
                    }
                ]
            }
        ],
        "MoreResults": {
            "H1": "Your overall level of data capability is:",
            "P1": "Structured data is managed and analyzed centrally and informs the business.",
            "P2": "Based on your responses, you’re likely to have capabilities  similar to the following:",
            "Sections": {
                "OLTP": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Implement a database management system that can deliver mission-critical capabilities to applications with improved scalability, in-memory performance, and high availability."
                            },
                            {
                                "BullitPoint": "Make significant gains in data security by moving to the latest database technologies. For example, with security innovations in Microsoft SQL Server 2016 like Always Encrypted, you can protect data at rest and in motion—and provide more layers of protection than ever before."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create a database management system that can deliver mission-critical capabilities to applications with improved scalability, in-memory processing and analysis, and high availability—whether your data is on-premises or in the cloud — or both."
                            },
                            {
                                "BullitPoint": "Take advantage of in-memory performance and security technologies by using the in-memory OLTP in SQL Server 2016 to experience up to a 30x improvement in transactional performance or using Always Encrypted to protect your data at rest and in motion."
                            },
                            {
                                "BullitPoint": "Get the benefits of a hybrid cloud by building, deploying, and managing solutions that complement your existing on-premises investments."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create a database platform that can deliver mission-critical capabilities to applications with improved scalability, in-memory processing and analysis, and high availability—whether your data is on-premises or in the cloud—or both."
                            },
                            {
                                "BullitPoint": "Enjoy better performance and real-time operational analytics using the latest solutions like Microsoft SQL Server 2016."
                            },
                            {
                                "BullitPoint": "Get faster, more valuable analytics data by performing advanced analytics directly within your data management system."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create a database management system that can deliver mission-critical capabilities to applications with improved scalability, in-memory processing and analysis, and high availability—whether your data is on-premises or in the cloud."
                            },
                            {
                                "BullitPoint": "Get faster, more valuable analytics data by performing advanced analytics directly within your data management system."
                            },
                            {
                                "BullitPoint": "Directly query across structured and unstructured data with advanced capabilities in data management solutions like SQL Server."
                            }
                        ]
                    }
                },
                "EDW": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create one version of the truth by bringing together siloed and dated data marts into a single modern enterprise data warehouse."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Establish a relationship with a data warehousing partner who can sufficiently meet your current needs and support future growth in your data and user loads."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Establish a relationship with a data warehousing partner who can sufficiently meet your current needs and support future growth in your data and user loads."
                            },
                            {
                                "BullitPoint": "Utilize in-memory processing to advance your scaling and performance capabilities."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Establish a relationship with a data warehousing partner who can sufficiently meet your current needs and support future growth in your data and user loads."
                            },
                            {
                                "BullitPoint": "Implement solutions that enable you to perform big data and real-time advanced analytics on all of your data."
                            },
                            {
                                "BullitPoint": "Introduce technology that supports real-time analytics, machine learning, or cognitive services to perform advanced analytics."
                            }
                        ]
                    }
                },
                "EDL": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Store unstructured data in stores capable of big data processing and analysis. Data volumes are expanding tenfold every five years, where much of the growth is coming from unstructured data driven by devices and the Internet. Instead of making cost tradeoffs on what data to hold onto, retain all of your data so you can meet regulatory compliance and uncover new insights to make better products and more informed decisions."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Perform big data analytics on your unstructured data. Organizations who not only store their unstructured data but also analyze how it can discover impactful insights into their business. For example, they can create a personalized customer experience that changes based on customer behavior, or even offer recommended products that include dynamic discounts for personalized shopping experiences. All of these experiences give your business the competitive advantage."
                            },
                            {
                                "BullitPoint": "Use open source big data frameworks like Hadoop and Spark or use U-SQL, a big data language from Microsoft that combines C# and T-SQL."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Expand your big data footprint to more users by giving them easier tooling and languages to develop in. For example, integration between Microsoft SQL Server and Microsoft Visual Studio allows you to visualize how your code runs at scale and identify performance bottlenecks and cost optimizations, which makes it easier to tune your queries. In the hands of more users, big data can transform your business so that everyone will be making data-driven decisions and finding new insights."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Closely integrate big data and data warehousing. Query and join data—whether it’s relational or non-relational, on-premises or in the cloud—inside of your relational data warehouse with data in a big data store."
                            }
                        ]
                    }
                },
                "AA": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Progress your analytics from a descriptive approach powered by ad-hoc, manual, and heterogeneous reports to consolidated self-service analytics for better forecases, spanning the whole organization in collaboration with your IT department."
                            },
                            {
                                "BullitPoint": "Get to know your business better through reports built using structured data aggregated from multiple channels for better insights."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Take your analytics to the next level with industry-leading solutions like Cortana Intelligence Suite or Microsoft R Server to benefit from best-in-class big data, advanced analytics, and intelligence services."
                            },
                            {
                                "BullitPoint": "Make smarter decisions evolving to self-service tools company wide to separately display relational and non-relational data sets available through a virtualized network."
                            },
                            {
                                "BullitPoint": "Evolve from pattern detection to data-driven proactive approaches using predictive models and perceptual intelligence."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Plan for the future by analyzing and modeling diverse data structures that are centralized and updated in real time—whether you’re on-premises, in the cloud, or in a hybrid environment."
                            },
                            {
                                "BullitPoint": "Enable your analytics platform across your departments using both BI and predictive models in real time to respond to changing business conditions and make dynamic changes."
                            },
                            {
                                "BullitPoint": "Build fully personalized experiences for your customers based on refined data such as demographics, locations, and behavior."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Trigger automated rules to respond to the analysis of data sets integrated in real time."
                            },
                            {
                                "BullitPoint": "Keep improving your business processes and quickly reshape your predictive models on the go for live scenarios."
                            }
                        ]
                    }
                },
                "BI": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create one version of the truth by transforming data from multiple systems into data models that can be easily accessed and understood by your users."
                            },
                            {
                                "BullitPoint": "Deliver powerful data models that users can easily access with data visualization tools."
                            },
                            {
                                "BullitPoint": "Standardize on fewer BI tools for self-service and corporate BI so you can access data across your organization more easily."
                            },
                            {
                                "BullitPoint": "Enable your business analyst to create ad-hoc analysis and interactive data exploration whether your data resides on-premises, in the cloud, or a combination of both."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Deliver a modern experience with mobile reports using IT-delivered BI solutions."
                            },
                            {
                                "BullitPoint": "Use BI tools to seamlessly share and monitor important data across the organization."
                            },
                            {
                                "BullitPoint": "Help keep mobile users connected and informed virtually anywhere with native Windows, iPhone, and Android apps."
                            },
                            {
                                "BullitPoint": "Get started quickly with out-of-the-box content that connects with SaaS applications to easily roll out customized dashboards and reports across your organization."
                            },
                            {
                                "BullitPoint": "Integrate your app or service with BI tools to help deliver business insights in the context of a business app."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Implement a hybrid BI solution to easily access on-premises and cloud-based data. You can provide live, interactive BI dashboards and reports with visualizations and analytics that compare on-premises historical data with real-time cloud-born data to create a consolidated and holistic view of the business. "
                            },
                            {
                                "BullitPoint": "Deliver paginated, mobile reports and KPIs from one modern web portal experience for on-premises data."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Enable tools like Quick Insights in Power BI to help users easily search data for outliers, trends, and other interesting insights to get started with deeper data analysis. "
                            },
                            {
                                "BullitPoint": "Focus on making it even easier for your users to gain insights from their data by simply asking questions in natural language using smart technology such as Cortana."
                            }
                        ]
                    }
                },
                "Cloud": {
                    "Q4": {
                        "Bullits": [
                            {
                                "BullitPoint": "Move to a highly virtualized environment—whether it’s public or private cloud—using an industry-leading solution like Microsoft SQL Server that delivers breakthrough performance, scale, and availability."
                            },
                            {
                                "BullitPoint": "Use public or private cloud to scale on demand, manage and monitor roles and transactions, and expand development and test environments as needed."
                            }
                        ]
                    },
                    "Q3": {
                        "Bullits": [
                            {
                                "BullitPoint": "Use public cloud to create a disaster recovery plan by backing up to cloud storage or maintaining failover replicas in the cloud."
                            },
                            {
                                "BullitPoint": "Take your cloud to the next level with an industry-leading solution like Microsoft SQL Server and benefit from breakthrough performance, scalability, and availability."
                            }
                        ]
                    },
                    "Q2": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create a database management system that can deliver mission-critical capabilities both on-premises and in the cloud."
                            },
                            {
                                "BullitPoint": "Use public cloud to create continuity disaster recovery plan by backing up to cloud storage or maintaining failover replicas in the cloud."
                            },
                            {
                                "BullitPoint": "Easily move development and test or production workloads to the cloud as you modernize them using consistent tooling and features in Microsoft SQL Server and Azure."
                            }
                        ]
                    },
                    "Q1": {
                        "Bullits": [
                            {
                                "BullitPoint": "Create a database platform that can deliver mission-critical capabilities both on premises and in the cloud."
                            },
                            {
                                "BullitPoint": "Move from simply using a public cloud for disaster recovery or workload scaling to strategically scaling out cloud-based readable secondaries for global BI scale. Gain the benefits of a hybrid cloud with new scenarios such as Stretch Database that lets you stretch your warm and cold transactional data to Microsoft Azure."
                            },
                            {
                                "BullitPoint": "Build your own SaaS applications with Azure SQL Database and move data warehouse workloads to the cloud for cost-effective MPP at scale with Azure SQL Data Warehouse."
                            }
                        ]
                    }
                }
            },
            "Quarts": {}
        },
        "DetailedResults": {
            "H1": "Your Detailed Assessment results",
            "ColumnOneHeader": "Your results",
            "ColumnTwoHeader": "Companies like yours typically have these capabilities",
            "ColumnThreeHeader": "Companies with more advanced data capabilities typically have",
            "Sections": {
                "OLTP": {
                    "Q0": "In-memory technologies are used for the majority of operational databases. Secondary operational database replicas are in the public cloud. Real-time operational analytical models are broadly deployed within operational databases.",
                    "Q1": "In-memory database technologies are in use and analytical models may be implemented within transactional systems to enable real-time operational decision making. Non-relational databases have likely been deployed. The public cloud is used for data backup, recovery, and failover. Some mission-critical apps may be deployed using the public cloud as well.",
                    "Q2": "Performance tuning is completed through premium storage options such as solid-state drives and flash-based storage. Database schemas can be dynamically updated. Support for mission-critical apps is available via direct access to the database vendor’s engineering teams. The public cloud may be used for deployment of customer-facing applications.",
                    "Q3": "Operational databases can be scaled up through massively parallel processing and elastically scaled out through pools. Uptime availability is “five nines” or better. Role-based security is defined at the database level and data can be encrypted at rest and in motion.",
                    "Q4": "Relational databases are primarily used for key business applications. Databases can be scaled up by adding or upgrading existing hardware. Transactional data is backed up to a secondary data center for failover and recovery."
                },
                "EDW": {
                    "Q0": "Siloed data marts and data storages have been eliminated. Real-time predictive modeling can be easily conducted on all data without extracting from the data warehouse.",
                    "Q1": "Some or all data stored in the enterprise data warehouse is refreshed in real time or near-real time or is streaming. Predictive modeling that provides insights is often an extension of the data warehouse. Data from public web and social media sites augments internal data sets. The public cloud is used for some data warehousing needs.",
                    "Q2": "Comprehensive data for most reporting and analytics needs is contained in an enterprise data warehouse. Six or more years of data is stored in a data warehouse and users can query historical data without pulling from a data archive or cold storage. Redundant data marts have been retired in favor of a centralized enterprise data warehouse.",
                    "Q3": "The enterprise data warehouse connects to multiple business applications and data sources to centralize storage and analysis of internal company data and third-party data. The enterprise data warehouse can scale to handle growth with frequent automated refreshes.",
                    "Q4": "Multiple data marts for individual business functions and systems are maintained. Steps have been taken to start consolidating silos of data into an enterprise data warehouse. Most information maintained in the data warehouse is refreshed intermittently."
                },
                "EDL": {
                    "Q0": "Structured and unstructured data has been consolidated through automated processes in the enterprise data lake. Data from the enterprise data lake can be seamlessly joined with other data sources for real-time reporting and analytics.",
                    "Q1": "An enterprise data lake has been established on-premises or in the cloud to house structured and unstructured data. Data often arrives in real time and analytics can be run within the data lake. Users can query and join data seamlessly across the data lake and enterprise data warehouse.",
                    "Q2": "Hadoop or other distributed big data technologies are used on a pilot basis. Key unstructured data is transformed in batches into structured data for analysis, reporting, and modeling.",
                    "Q3": "Unstructured data is stored in a centralized repository, but limited analysis is performed on unstructured or non-relational data.",
                    "Q4": "There’s currently little or no use of unstructured data. Distributed big data technologies like Hadoop are not in use."
                },
                "BI": {
                    "Q0": "Streaming data and event hubs can be utilized to enable notifications of outliers found in developed dashboards and data models. Smart applications and functions like Cortana are utilized. Enhanced security features are in place, such as the ability to manage and monitor user activity in the BI workspace. Transaction logs for auditing purposes have been introduced.",
                    "Q1": "Interactive and streaming BI dashboards for enterprise-wide KPIs have been established. Business users are enabled to use BI tools to customize their view of the state of the business and identify opportunities and risks through user-defined custom alerts.",
                    "Q2": "There’s broad user access to business intelligence using embedded dashboards within key applications and mobile business intelligence. Users can perform ad-hoc analyses and visualizations, even with data in software as a service (SaaS) applications. Well-defined data dictionaries and data governance policies are established.",
                    "Q3": "Enterprise-wide definitions exist for key business metrics and KPIs. Transactional queries are used to perform calculations and create forecasts. Power users utilize BI tools to create data mashups from multiple sources. BI tools are deployed on the cloud or as a software as a service (SaaS) solution.",
                    "Q4": "BI tools are in place for enterprise reporting and self-serve analytics. Users can customize their workspaces in BI tools and reports through limited service software packages that don’t fully utilize accompanying mobile or web applications that may be available. BI packages can be monitored and audited for compliance and security."
                },
                "AA": {
                    "Q0": "Predictive data models can be easily molded, updated, and deployed on-the-go for live scenario and use case visualization based on new data and business needs.",
                    "Q1": "Predictive models are based on real-time data streams and models are dynamically updated as new data is generated. Models are deployed within key business applications to support real-time operational decision making and personalized recommendations. Data scientists can build, refine, and select the best models after running multiple processes in parallel.",
                    "Q2": "Predictive models have been developed for multiple purposes including customer churn analysis and predictive maintenance for equipment. Prescriptive models that generate recommended business actions for users based on data analysis are in development.",
                    "Q3": "Predictive and statistical modeling capabilities are based on manual calculation and forecasting and is performed on a limited or ad-hoc only basis. Basic batch predictive models have begun to emerge.",
                    "Q4": "There’s limited use of advanced analytics or statistical models. Data analysis and modeling capabilities are limited or involve ad-hoc manual entry and calculations."
                },
                "Cloud": {
                    "Q0": "Key systems are being migrated from on-premises data centers to public or hybrid clouds for greater scalability, availability, and access to the latest cloud-based services.",
                    "Q1": "Hybrid applications in which certain elements of the system (including sensitive corporate data) are deployed using a public infrastructure-as-a-service or platform-as-a-service provider have been deployed and are maintained behind a corporate firewall.",
                    "Q2": "Cloud infrastructure is used for specific production applications. For example, Infrastructure or Platform-as-a-Service providers are selected for temporary, compute intensive tasks where it’s necessary to spin up a large number of instances rapidly.",
                    "Q3": "Compute instances are auto-provisioned and other infrastructure is in a private cloud. May be experimenting with public infrastructure as a service (IaaS) and platform as a service (PaaS) solutions for development and test environments.",
                    "Q4": "The majority of the enterprise infrastructure has been virtualized, but infrastructure as a service (IaaS) or platform as a service (PaaS) solutions are most likely not in use."
                }
            }
        }
    }
}