Marketing analytics skills are among the most important capabilities in the marketing organization, yet it remains difficult to recruit, hire and retain people with strong skills to support in-house teams. Most marketing teams still struggle with a skills gap in this domain. As a result, marketers seek to augment internal teams by using advanced analytics service providers that offer third-party expert resources, proprietary methodologies and models, and even managed technology to help marketers tackle some of their toughest challenges. Vendors in this market specialize in advanced analytics, including sophisticated methods such as mapping the customer journey, attributing marketing spend to measured outcomes, simulating and measuring business impact of marketing and advertising campaigns, and implementing predictive models. Engagements may be project-based or part of an ongoing partnership, and may include the use of proprietary technology.
Reviews for 'Customer Relationship Management - Others'
The data integration tools market comprises stand-alone software products that allow organizations to combine data from multiple sources, including performing tasks related to data access, transformation, enrichment and delivery. Data integration tools enable use cases such as data engineering, operational data integration, delivering modern data architectures, and enabling less-technical data integration. Data integration tools are procured by data and analytics (D&A) leaders and their teams for use by data engineers or less-technical users, such as business analysts or data scientists. These products are consumed as SaaS or deployed on-premises, in public or private cloud, or in hybrid configurations.
Data masking is based on the premise that sensitive data can be transformed into less sensitive but still useful data. This is necessary to satisfy application testing use cases that require representative and coherent data, as well as analytics that involve the use of aggregate data for scoring, model building and statistical reporting. The market for data protection, DM included, continues to evolve with technologies designed to redact, anonymize, pseudonymize, or in some way deidentify data in order to protect it against confidentiality or privacy risk.
Reviews for 'Data and Analytics - Others'