This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.
Read More
Topics:
Big Data,
Data Warehousing,
Teradata,
Analytics,
Data Governance,
Data Management,
Data Preparation,
Information Management,
Data,
Digital Technology
In 2017 Strata + Hadoop World was changed to theStrata Data Conference. As I pointed out in mycoverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year...
Read More
Topics:
Big Data,
Data Science,
Machine Learning,
Analytics,
Business Intelligence,
Data Governance,
Data Integration,
Data Preparation,
Information Optimization,
Digital Technology,
Machine Learning and Cognitive Computing
Ventana Research recently published the findings of ourbenchmark 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...
Read More
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 launchSAP Data Hub and made several other data and analytics announcements that I’ll cover below.
Read More
Topics:
Big Data,
SAP,
Machine Learning,
Analytics,
Data Preparation
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...
Read More
Topics:
Big Data,
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...
Read More
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.
Read More
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
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...
Read More
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.
Read More
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
The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the...
Read More
Topics:
Big Data,
Analytics,
Business Intelligence,
Collaboration,
Data Integration,
Data Preparation,
Information Management,
Internet of Things