I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
Read More
Topics:
Big Data,
business intelligence,
Analytics,
Data Governance,
Information Management,
Digital Technology,
data lakes,
Data Storage,
Streaming Data,
AI and Machine Learning
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.
Read More
Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Information Management,
Internet of Things,
Digital Technology,
AI and Machine Learning
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions. To do this IoT requires a set of event-centered information and analytic processes that enable people to use that event information to make...
Read More
Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Internet of Things,
Data,
Information Management (IM),
Digital Technology,
data lakes,
AI and Machine Learning
I am happy to offer some insights on Yellowfin drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
Read More
Topics:
Data Science,
Mobile Technology,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Yellowfin,
Digital Technology
I am happy to offer some insights on Information Builders drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth...
Read More
Topics:
Data Science,
business intelligence,
Mobile Intelligence,
Analytics,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we apply a structured research methodology built on evaluation categories that are designed to...
Read More
Topics:
Data Science,
business intelligence,
Mobile Intelligence,
Analytics,
Cloud Computing,
Collaboration,
Digital Technology
Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.
Read More
Topics:
Data Science,
business intelligence,
Mobile Intelligence,
Analytics,
Cloud Computing,
Collaboration,
Digital Technology