We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has...
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Marketing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Digital Technology,
Digital Marketing,
Digital Commerce,
Cybersecurity,
Billing and Recurring Revenue,
collaboration for business,
mobile marketing
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Human Capital Management,
Machine Learning,
Marketing,
Marketing Performance Management,
Mobile Technology,
Office of Finance,
Wearable Computing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer Service,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Information Optimization,
Product Information Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
Operations & Supply Chain,
Machine Learning and Cognitive Computing,
Pricing and Promotion Management,
Cybersecurity,
Billing and Recurring Revenue,
Workforce Optimization,
collaboration for business,
mobile marketing
Ventana Research recently published the findings of our benchmark research on Data Preparation, which examines the practices organizations use to accomplish data preparation. We view data preparation as a sequence of steps: identifying, locating and then accessing the data; aggregating data from different sources; and enriching, transforming and cleaning it to create a single uniform data set. Using data to accomplish organizational goals requires that it be prepared for use; to do this job...
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Topics:
Big Data,
Analytics,
Data Preparation
I recently attended SAP TechEd in Las Vegas to hear the latest from the company regarding its analytics and business intelligence offerings as well as its data management platform. The company used the event to launch SAP Data Hub and made several other data and analytics announcements that I’ll cover below.
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Topics:
Big Data,
SAP,
Machine Learning,
Analytics,
Data Preparation,
SAP TechEd
Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes. Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not...
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Topics:
Analytics,
Collaboration,
Data Preparation,
Datawatch
Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the...
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Topics:
Big Data,
Data Science,
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Integration,
Data Preparation,
Information Optimization,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.
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Topics:
Big Data,
Data Science,
Mobile Technology,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Information Optimization,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a...
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Topics:
Big Data,
Data Science,
Machine Learning,
business intelligence,
Analytics,
Cloud Computing,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Cognitive Computing,
Information Optimization,
Digital Technology
Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is...
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Topics:
Data Science,
Machine Learning,
Analytics,
Business Intelligence,
Collaboration,
Data Preparation,
Internet of Things,
Information Optimization
Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to improve an organization’s performance. We then share those results with our readers.
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Topics:
Big Data,
Data Science,
Analytics,
Data Governance,
Data Integration,
Data Preparation,
Information Management,
Internet of Things,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology