Earlier this year, I wrote about the increasing importance of data observability, an emerging product category that takes advantage of machine learning (ML) and Data Operations (DataOps) to automate the monitoring of data used for analytics projects to ensure its quality and lineage. Monitoring the quality and lineage of data is nothing new. Manual tools exist to ensure that it is complete, valid and consistent, as well as relevant and free from duplication. Data observability vendors,...
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Topics:
Business Intelligence,
Cloud Computing,
Data Management,
Data,
data operations
Emburse offers a single platform that enables organizations — small, midsize and larger —to manage their travel and related expenses, pay invoices and handle their corporate spend. Today, technology has the ability to significantly increase the efficiency with which organizations handle expenditures while simultaneously containing costs, increasing controls and improving visibility into where the money is going. This is part of a broader trend toward digitizing outlays: I assert that by 2025,...
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Topics:
Office of Finance,
ERP and Continuous Accounting
One of the most significant considerations when choosing an analytic data platform is performance. As organizations compete to benefit most from being data-driven, the lower the time to insight the better. As data practitioners have learnt over time, however, lowering time to insight is about more than just high-performance queries. There are opportunities to improve time to insight throughout the analytics life cycle, which starts with data ingestion and integration, includes data preparation...
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Topics:
Business Intelligence,
Data,
data operations,
analytic data platforms,
AI and Machine Learning
Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions. Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process. Our research shows organizations spend more time cleaning and optimizing data for analysis rather than...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
natural language processing,
Streaming Analytics,
AI and Machine Learning
Managing corporate income taxes is a challenge for chief financial officers and their tax department professionals. Tax codes are often complex, so tax accounting as well as the data required for tax provisions and tax compliance are different enough from statutory accounting to create significant workloads for the tax department. The provision for income tax expense and, for public companies, the assembly of information related to tax-related disclosures, can be a factor holding up the...
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Topics:
Office of Finance,
Financial Performance Management
Organizations are increasingly utilizing cloud object storage as the foundation for analytic initiatives. There are multiple advantages to this approach, not least of which is enabling organizations to keep higher volumes of data relatively inexpensively, increasing the amount of data queried in analytics initiatives. I assert that by 2024, 6 in ten organizations will use cloud-based technology as the primary analytics data platform, making it easier to adopt and scale operations as necessary.
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Topics:
Teradata,
Data Governance,
Data Management,
Data,
data operations,
analytic data platforms,
Vantage platform
Vena Solutions offers organizations a platform for financial planning, analysis and reporting as well as software to manage accounting consolidation and close processes. From the start, Vena has designed its applications to meet the needs of midsize organizations, which typically have the same requirements as large enterprises but with significantly fewer resources to acquire, manage and maintain technology. Ventana Research named Vena a Value Index Leader in Adaptability and a Vendor of Merit...
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management
In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise. Our Analytics and Data Benchmark Research shows that more than one-quarter of organizations...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
IBM,
IBM Watson,
AI and Machine Learning
The theme of this year’s Oracle NetSuite SuiteWorld was “Full Suite Ahead,” with content aimed at demonstrating to customers (and prospective buyers) the value of using more of what NetSuite has to offer. The business logic behind this concept goes beyond the obvious objective of upselling existing customers to increase the average annual recurring revenue. As is often the case with subscription businesses, customers fail to take advantage of what’s already included in their service. Ensuring...
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Topics:
Office of Finance,
ERP and Continuous Accounting,
Finance Performance Management
The pandemic years saw an exponential rise in organizational investment in digital learning, and for good reason. With in-person learning no longer an option, organizations were forced to quickly adapt to the changing world of work in order to ensure workers were prepared with the knowledge and training necessary to operate in ways they had never before seen. Beyond operational imperatives, organizations have turned to digital learning systems to find new ways to track and bolster productivity,...
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Topics:
Human Capital Management,
Learning Management