Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics. And as organizations scale, the complexity only increases, creating a need for better data governance, data...
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Topics:
Analytics,
Data Governance,
Data Management,
Data,
data operations,
analytic data platforms
Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it. Factors such as new data, changes in the underlying systems or updates to algorithms can all contribute to differences in an analysis. AnalyticOps helps ensure data is accurate, up-to-date and consistent across...
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Topics:
embedded analytics,
Analytics,
Business Intelligence
I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.
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Topics:
Analytics,
Digital Technology,
AI & Machine Learning,
Analytics & Data
Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. However, manual modeling is a time-consuming process and results in a limited number of models and tests. Also, updating those models is...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
AI & Machine Learning
Ventana Research recently announced its 2023 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Data,
Digital Technology,
natural language processing,
Process Mining,
Analytics & Data,
Collaborative & Conversational Computing
I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.
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Topics:
Analytics,
Cloud Computing,
Internet of Things,
Data,
Digital Technology,
blockchain,
mobile computing,
extended reality,
AI & Machine Learning,
robotic automation,
Collaborative & Conversational Computing
Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence. One-third of participants find it difficult to integrate...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
natural language processing,
AI & Machine Learning
For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened. But rarely did any of these tools provide information about what to do...
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Topics:
business intelligence,
Analytics,
Digital Technology,
AI & Machine Learning,
Analytics & Data
In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs, hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing. These issues are often cited by our research participants as reasons they are not embracing the cloud. To be fair, the majority of our research participants are embracing the cloud. However, among those that have...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Digital Technology,
AI & Machine Learning,
Analytics & Data,
Governance & Risk