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Analyst Viewpoint Big data is valuable. Our benchmark research shows that using big data analytics results in better communication, better alignment of the business, a competitive advantage, better responsiveness and decreased time to market. But big data comes in many forms, from many sources and is not always easy to work with. These complexities have caused many organizations to become too... Read More

Topics: Big Data


Analyst Viewpoint Data lakes are important. They provide the opportunity to analyze data from not just one but all sources and at any level of detail, which improves business outcomes. Participants in our research reported that using big data analytics enabled better communication and alignment in the organization. These organizations share more information and therefore have more consistency in... Read More

Topics: Big Data


Point de vue de l'analyste La diffusion des données en continu transforme le fonctionnement des détaillants. L’évolution du commerce « brick and mortar » vers le commerce omnicanal permet aux entreprises d’avoir de meilleures informations sur le comportement des clients tout en augmentant les attentes des consommateurs concernant leur expérience client. Les applications en ligne et mobiles sont... Read More

Topics: Big Data


Analysten-Standpunkt Das Streaming von Daten verändert die Arbeitsweise von Einzelhändlern. Die Entwicklung des Einzelhandels von stationär zu Omnichannel hat Unternehmen bessere Informationen über das Kundenverhalten geliefert und gleichzeitig die Erwartungen der Verbraucher hinsichtlich ihres Kundenerlebnisses erhöht. Onlineanwendungen und Apps sind zur Norm geworden und Kunden erwarten... Read More

Topics: Big Data


Analyst Viewpoint External data can be valuable to many organizations for a variety of reasons. It can be used by planning and operations teams to benchmark an organization’s financial or operational performance. It can enrich the data an organization collects and analyzes about its customers, prospects and partners. It can augment machine learning analyses to produce more accurate models. For... Read More

Topics: Big Data


Analyst Viewpoint Today’s fast-paced world requires responsiveness in all types of interactions with customers, prospects, partners and employees. Organizations must be able to respond in the moment or risk missing the opportunity altogether. To do this, the systems and process an organization has in place must be agile enough to deal with the constant changes it faces. And, with the volumes of... Read More

Topics: Big Data


Analyst Viewpoint Streaming data is transforming how insurance companies provide their services. It can offer critical information needed to underwrite risks with better information, detect and prevent fraudulent claims, deliver world-class customer service and tie together disparate internal legacy systems. In the past most insurance processing systems had a transaction-oriented approach. Each... Read More

Topics: Big Data


Analyst Viewpoint Streaming data will be transformative to the future of financial services organizations. It can provide the critical, timely information needed to deliver world-class customer service, detect and prevent fraud, tie together disparate legacy systems or power new services and sources of revenue. In the past, most financial services systems had a transaction-oriented approach; each... Read More

Topics: Big Data


Analyst Viewpoint Streaming data is transforming how retailers operate. Retail’s evolution from brick-and-mortar to omnichannel has provided organizations with better information about customer behavior while also increasing the expectations of consumers regarding their customer experience. Online and mobile applications have become the norm and shoppers now expect real-time information about... Read More

Topics: Big Data


Analyst Viewpoint Adoption of cloud and edge computing infrastructure has brought many benefits to organizations of all sizes. It has improved business agility by reducing the need for upfront purchasing, configuration and deployment of infrastructure, and reduced the complexity and cost of data movement by taking data processing closer to where the data is generated. However, this has also... Read More

Topics: Big Data