The Forrester Wave™: Enterprise Data Fabric, Q2 2020

Data fabric focuses on automating the process integration, transformation, preparation, curation, security, governance, and orchestration to enable analytics and insights quickly for business success. It minimizes complexity by automating processes, workflows, and pipelines, generating code and streamlining data to accelerate various use cases such as customer 360, data science, fraud detection, internet-of-things (IoT) analytics, risk analytics, and healthcare insights.

AI/ML, Self-Service, And Graph Engine Are Key Differentiators

Oracle, Talend, Cambridge Semantics, SAP, Denodo, And IBM Lead The Pack in "The Forrester Wave™: Enterprise Data Fabric, Q2 2020".

2020 Magic Quadrant for the CRM Customer Engagement Center

By 2023, 30% of customer service organizations will deliver proactive customer service using artificial intelligence (AI), process orchestration and continuous intelligence.

Gartner’s Definition: The current reshaping of the customer engagement center (CEC) market is characteristic of the consolidation of the customer service technology market. Customer service and support organizations must deliver consistent, effortless, intelligent and personalized customer service to their customers. The ability to orchestrate customer requests with assisted service, as well as with self-service, is one of the four pillars of great customer service within a leading customer service and support operation.

The four pillars of great customer service are:

1.    Getting connected

2.    Process orchestration

3.    Resource management

4.     Analytics and insights

Salesforce, Pegasystems, Servicenow, Microsoft, Oracle & Zendesk are the leaders in 2020 Magic Quadrant for the CRM Customer Engagement Center

2020 Magic Quadrant for Multichannel Marketing Hubs

Digital marketing leaders use multichannel marketing hubs to orchestrate contextually relevant experiences across complex journeys. Marketing leaders remain focused on driving more relevant digital experiences across the customer journey. 

Gartner defines the multichannel marketing hub (MMH) as a technology that orchestrates a company’s communications with and offers to customer segments across multiple channels. These include websites, mobile, social, direct mail, call centers, digital advertising and email. MMH capabilities also may extend to integrating marketing offers and leads with sales for execution in both B2B and B2C environments.

Adobe, Salesforce, SAS, Acoustic, SAP are the leaders in “2020 Magic Quadrant for Multichannel Marketing Hubs”.

2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights.

The DSML (Data Science and Machine Learning Platforms)  platform offers a mixture of basic and advanced functionality essential for building DSML solutions (primarily predictive and prescriptive models). The platform also supports the incorporation of these solutions into business processes, surrounding infrastructure, products and applications. It supports variously skilled data scientists in multiple tasks across the data and analytics pipeline, including all of the following areas:

• Data ingestion
• Data preparation
• Data exploration
• Feature engineering
• Model creation and training
• Model testing
• Deployment
• Monitoring
• Maintenance
• Collaboration

SAS, Databricks, Tibco, DataIku, Alteryx and MathWorks are the leaders in "2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms"

Magic Quadrant for Analytics and Business Intelligence Platforms 2020

Augmented capabilities are becoming key differentiators for analytics and BI platforms, at a time when cloud ecosystems are also influencing selection decisions.

By 2022, augmented analytics technology will be ubiquitous, but only 10% of analysts will use its full potential.

Modern analytics and business intelligence (ABI) platforms are characterized by easy-to-use functionality that supports a full analytic workflow — from data preparation to visual exploration and insight generation — with an emphasis on self-service and augmentation.

Microsoft (PowerBI), Tableau, Qlik and ThoutSpot are the leaders in "Magic Quadrant for Analytics and Business Intelligence Platforms 2020"

Forrester Wave™: Data Management For Analytics, Q1 2020

While traditional data warehouses often took years to build, deploy, and reap benefits from, today's organizations want simple, agile, integrated, cost-effective, and highly automated solutions to support insights. In addition, traditional architectures are failing to meet new business requirements, especially around high-speed data streaming, real-time analytics, large volumes of messy and complex data sets, and self-service. 

DMA (Data Management For Analytics) is a modern architecture that minimizes the complexity of messy data and hides heterogeneity by embodying a trusted model and integrated policies and by adapting to changing business requirements. It leverages metadata, in-memory, and distributed data repositories, running on-premises or in the cloud, to deliver scalable and integrated analytics. 

Oracle, SAP, IBM, Teradata and Google are the leaders in “Forrester Wave™: Data Management For Analytics, Q1 2020” Check out for Snowflake, AWS, Microsoft, Mongo…

Magic Quadrant for Operational Database Management Systems 2019

“By 2023, 75% of all databases will be on a cloud platform — a development that will drastically change the DBMS vendor landscape.”

Gartner Defines - The operational database management system (OPDBMS) market has been defined by relational and nonrelational DBMS products suitable for the traditional transactions used to support business process applications, both purchased (such as ERP and CRM applications) and custom-made. Also includes DBMS products that support interactions and event processing (data in motion).

Microsoft (Azure SQL, SQLDW, Cosmos...), Oracle, AWS (DynamoDB, ElastiCache, Neptune, Timestream, RDS, Redshift & EMR),  Google (Cloud Spanner RDBMS, Cloud Bigtable, Cloud Firestore...),  SAP (SAP SQL, HANA...) and InterSystems are the leaders in "Magic Quadrant for Operational Database Management Systems 2019".

Check out for Cassandra/Datastax, Marklogic, IBM and PostGre/EnterpriseDB.