Ehtisham Zaidi

Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills.

Providing data optimally remains a major challenge for data and analytics leaders. Rather than stick with rigid data integration architectures, they should learn from the efforts of successful companies that are achieving agility and cost optimization by combining multiple data delivery styles.

Data integration is fundamental to modern data and application infrastructure initiatives. This RFP template will help data and analytics leaders responsible for data management strategies to determine their requirements and assess vendors when selecting and comparing data integration tools.

The data integration tool market has established a focus on transformational technologies and approaches demanded by data and analytics leaders. The presence of legacy, resilient systems and innovation all in the market together requires robust, consistent delivery of highly developed practices.

Data virtualization is a key component in a modern data integration tool portfolio, and can support both analytical and operational use cases. This research will help data and analytics leaders adopt data virtualization for the right use cases, maximize its ROI and minimize risks.

Digital business is driving innovation in data management through effective access to and processing of data. Unified data access, multimodel DBMS approaches, metadata management techniques and real-time data integration top the list of innovations for CIOs and data and analytics leaders.

Data and analytics leaders must focus on the discipline of cost optimization as they work to make data management essential to the organization's digital future. Applying cost optimization techniques across all five data management disciplines i.e. Data Integration, Data Quality, DBMS, Data Warehousing and Metadata Management will greatly reduce costs and maximize business value.

Digital business initiatives have introduced a "do it yourself" attitude that is encouraging citizen integrators to promote their data integration work as enterprise-capable. Data and analytics leaders must establish a level of governance over these new data-as-a-service components.

Data integration is fundamental to data and application infrastructure initiatives. This RFP template will help integration, data and analytics leaders determine their requirements and assess vendors when selecting data integration tools

Information management infrastructure architects and lead implementers must always choose between using tool-based or custom-code development for data integration. Both have their place. Here, we lay out the key decision points for making an informed choice.

This report profiles 36 self-service data preparation products used by analysts and data scientists to accelerate data preparation for analysis, and increasingly by data engineers in data and analytics teams to create trusted, agile, curated data for a range of distributed analytics content authors.

This Toolkit provides a filterable list of capabilities offered by self-service data preparation vendors. Data and analytic leaders will be able to shortlist vendors based on deployment models, target roles, supported capabilities, natively supported data sources and geographic region.

It's not acceptable for architects or developers to use only postdeployment data resolution. The need for rapid data integration requires tools and platforms with increased ability to read, analyze, and react to local and foreign metadata in a dynamic model with distributed processing capabilities.

Data virtualization is a data integration style which offers data and analytics leaders an agile data integration strategy to limit data silos and address new analytical and operational opportunities through flexibility in data access. This research provides insight into 16 vendors and their offerings to help in making an informed choice.

IT leaders must be encouraged to work with startups and microvendors to drive innovation and digital business, while also collaborating with technology procurement leaders and other key stakeholders to minimize risk. This research guides IT leaders on how to engage with startups for their new and existing projects to drive synergies and manage future risks.

Data and analytics leaders increasingly face significant costs as they expand their strategic adoption and deployment of data integration tools to achieve digital business initiatives. Adopt Gartner's 10 best practices to achieve improved overall pricing, discounts and other contract terms.

Data and analytics leaders increasingly face significant costs as they adopt and deploy more integration tools to achieve digital business success. They should follow these best practices to negotiate key terms in data integration deals such as software maintenance costs, training costs, price protection, discount protection and support clauses for favorable pricing, reduced costs and future risk avoidance

Digital business forces data and analytics leaders to rethink their information infrastructure: instead of just collecting data, new approaches to data integration and data quality are required. We profile five new and emerging vendors in this space that offer innovative alternatives.

Interest in digital business that is influenced by cloud, mobile, IoT and big data aspires a pervasive integration strategy. Directors of integration can take advantage of the Cool Vendors' innovative approaches listed in this research to support emerging requirements and opportunities.

Text analytics has become increasingly important for many use cases, but the market is fragmented and far from saturation. Business analytics leaders should use this guide to inform their choices of text analytics solutions for their specific business scenarios.

Sound data integration capabilities are vital to unlock the value in information. This report highlights key data integration tool functions, emerging data delivery styles and other parameters, such as pricing, that are critical to customer satisfaction.

This survey analysis research leveraged from our annual 'customer reference survey' from the 2015 'Advanced Analytics Platforms Magic Quadrant' reveals how more than 600 organizations are adopting advanced analytics and vendor strengths and weaknesses

BI leaders often focus solely on license metrics when comparing BI platform vendor and analytic tool costs, even though it makes up only a small portion of overall cost of ownership. In this in-depth analysis, we compare total three-year Business Intelligence Platform Ownership Cost (BIPOC) and its components across vendors, vendor types and deployment sizes.

The DBMS market is transitioning rapidly and profoundly as the delivery of applications and DBMS capabilities to users is redefined. Information leaders can use our Market Clock to develop an approach to managing this technology, from emerging solutions to aging products.

External service providers can accelerate business intelligence and analytics program success. BI and analytics leaders should use this research to identify and engage with specialist providers based on their requirements by region, vertical sector, software solution, maturity and organization size.

NoSQL DBMSs are no longer fringe technologies. They have become substantial differentiators for many enterprises, but traditional vendors are closing the gap. Information and application development leaders must understand how these products are evolving and the market direction over the next year.

This research is aimed at assisting Information Managers and Information Architects in understand the standalone Metadata Management Solutions market and highlight some of the most visible vendors and their product offerings.

This Toolkit provides a custom-filtered list of business intelligence and analytics service providers familiar to Gartner through inquiries and other client engagements. BIA leaders will be able to select the best service for their needs based on the technologies offered and by geographic region.

Previously sluggish, the dbPaaS market is gaining momentum, driven by maturing products, reports of major resource savings, increased product choice, and a general acceptance of the cloud. CIOs and information managers can use dbPaaS to address core business requirements.

Business analytics leaders should leverage this research to identify and engage with candidate Advanced Analytics external service providers (ESPs) based on their requirements by region, vertical sector, software solution, maturity and organization's size.

Operational intelligence platforms help companies improve their situation awareness and ability to sense and respond quickly to changing business conditions. IT leaders should use this guide to understand the dynamics of this emerging category of products and the vendor-specific functionality.

This guide explains the market of optimization solutions, which is made up of a broad spectrum of tools, from packaged applications for business users to optimization modeling platforms and the optimization solvers that drive them.

In this research we profile products that can accelerate the shift toward business-user-oriented, visual, interactive Data Preparation.

It helps business intelligence (BI), analytics and information management leaders to understand the Data Preparation landscape and vendor-specific functionality and also shed some light about this important and upcoming market.

Engaging an external service provider (ESP) with the appropriate skills and experience is a proven way to accelerate your master data management (MDM) program or project.

MDM leaders should use this research to identify and engage with candidate providers based on their requirements by region, data domain, vertical sector, software solution, and size of their organization.

Information and analytics are a priority across many IT and business disciplines. As a result, analysts throughout Gartner have issued related predictions for 2015 and beyond. We highlight those that are most relevant to CIOs and analytics leaders and that merit in-depth investigation.

This research will enable information management leaders to develop a comprehensive Data Integration program.

Information management leaders responsible for data integration should use this research when trying to kick start their data integration program, evolving their data integration capabilities to support diverse use cases or planning to move to more advanced data integration Initiatives.

The extreme performance promise and transformational business potential of in-memory DBMSs have made the technology very attractive. Information leaders and database managers should use this research to understand the latest In-memory DBMS developments, vendor landscape and the use cases addressed.

This research note will help BI and Analytics Leaders to redefine, re-organize and re-brand their Business Intelligence Competency Centers to shift the focus to Analytics and develop a more holistic road-map to evolve their BI and Analytics initiatives strategically.