The imperative to transform the finance department to function in a more strategic, forward-looking and action-oriented fashion has been a consistent theme of practitioners, consultants and business journalists for two decades. In all that time, however, most finance and accounting departments have not changed much. In our benchmark research on the Office of Finance, nine out of 10 participants said that it’s important or very important for finance departments to take a strategic role in...
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Topics:
Big Data,
Planning,
Predictive Analytics,
Social Media,
Governance,
GRC,
Human Capital,
Mobile Technology,
Office of Finance,
Budgeting,
close,
Continuous Accounting,
Continuous Planning,
end-to-end,
Tax,
Tax-Datawarehouse,
Analytics,
Business Analytics,
Business Collaboration,
Business Performance,
CIO,
Cloud Computing,
Financial Performance,
In-memory,
Uncategorized,
CFO,
CPQ,
Risk,
CEO,
Financial Performance Management,
FPM
Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda:
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Topics:
Big Data,
Predictive Analytics,
Mobile Technology,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Cloud Computing,
Information Management,
Operational Intelligence,
Information Optimization
Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish...
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Topics:
Big Data,
Predictive Analytics,
Analytics,
Business Analytics,
Business Intelligence,
Information Management,
Internet of Things,
IOT,
Operational Intelligence,
Unicorns,
Information Optimization
A new company has emerged in the market for real-time analytics software. Anodot came out of stealth mode in late 2015 with $3 million in funding. It is led by three founders: CEO David Drai, whose company Cotendo was acquired by networking company Akamai Technologies in 2012; Ira Cohen, chief data scientist, who previously held that position at Hewlett-Packard; and Shay Lang, who serves as VP of R&D. Unlike most vendors in the space, the company is delivering anomaly detection and operational...
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Topics:
Big Data,
Predictive Analytics,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Internet of Things,
Operational Intelligence,
Uncategorized
The emerging Internet of Things (IoT) extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation enables devices designed for it to generate and transmit data about their operations; analytics using this data can facilitate monitoring and a range of automatic functions.
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Topics:
Big Data,
Predictive Analytics,
Mobile Technology,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
IOT,
Operational Intelligence,
Uncategorized
Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the...
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Topics:
Big Data,
Predictive Analytics,
Machine Learning,
IT Analytics & Performance,
Operational Performance,
Plunk,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Management,
Internet of Things,
Operational Intelligence,
Data,
Information Optimization
Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be...
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Topics:
Microsoft,
Predictive Analytics,
Sales Performance,
SAP,
Supply Chain Performance,
ERP,
Human Capital,
Mobile Technology,
NetSuite,
Office of Finance,
Reporting,
close,
closing,
Controller,
dashboard,
Tax,
Customer Performance,
Operational Performance,
Analytics,
Business Collaboration,
Business Intelligence,
Cloud Computing,
Collaboration,
IBM,
Oracle,
Business Performance Management (BPM),
CFO,
Data,
finance,
Financial Performance Management (FPM),
Financial Performance Management,
FPM,
Intacct
The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using...
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Topics:
Big Data,
Predictive Analytics,
Software as a Service,
IT Analytics & Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Management,
Operational Intelligence,
Data,
Information Optimization
One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
SAS,
Social Media,
alteryx,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Operational Intelligence,
Oracle,
Information Optimization,
SPSS,
Rapidminer
Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
SAS,
Social Media,
alteryx,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Operational Intelligence,
Oracle,
Information Optimization,
SPSS,
Rapidminer