The term NoSQL has been a misnomer ever since it appeared in 2009 to describe a group of emerging databases. It was true that a lack of support for Structured Query Language (SQL) was common to the various databases referred to as NoSQL. However, it was always one of a number of common characteristics, including flexible schema, distributed data processing, open source licensing, and the use of non-relational data models (key value, document, graph) rather than relational tables. As the various...
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Topics:
Business Continuity,
Analytics,
Data,
Digital Technology,
Digital Business,
data platforms
The internet is a rich source of information and is used by buyers to research new applications and offerings well before ever engaging a vendor and salesperson. Along with massive growth in offerings, this is a major reason why sales teams are facing increasing challenges to successfully sell and attain targets.
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Topics:
Sales,
Revenue Management,
Sales Engagement,
AI and Machine Learning
Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from that data. Similarly, lakes and reservoirs have enormous potential as sources of energy. However, simply storing large amounts of water in a lake is not enough to generate energy from that water. A hydroelectric power station is required to harness...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Integration,
Data,
Digital Technology,
data lakes,
data operations,
data platforms,
AI and Machine Learning
ESG reporting is a matter that organizations – and especially publicly held corporations – will be confronting over the next several years. Ventana Research asserts that by 2025, one-half of corporations with 1,000 or more employees will have a formal ESG reporting process in place to address legal mandates or shareholder demand. The roots of ESG investing go back many decades but it has gained significant attention recently as demand in the investment world for non-accounting measures to guide...
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Topics:
FP&A,
Governance,
Office of Finance,
Performance,
Reporting,
CFO,
ESG
Data from human capital management systems has delivered significant value to organizations for decades. The value continuum has included ensuring compliance with workforce-related laws and regulations around the globe; optimizing human resources’ processes (when combined with various other elements such as change management); maintaining a historical record of key employee activities and transactions; tracking cost trendlines such as those related to recruiting, compensation and benefits;...
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Topics:
Human Capital Management,
Learning Management,
Talent Management,
Workforce Management,
employee experience
As I noted when joining Ventana Research, the range of options faced by organizations in relation to data processing and analytics can be bewildering. When it comes to data platforms, however, there is one fundamental consideration that comes before all others: Is the workload primarily operational or analytic? Although most database products can be used for operational or analytic workloads, the market has been segmented between products targeting operational workloads, and those targeting...
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Topics:
business intelligence,
Analytics,
Data,
data lakes,
data operations,
data platforms,
AI and Machine Learning
Several years ago, I noted the importance of gaining resilience in managing supply chains. The world had entered a new era of trade following the financial crisis of 2007, as multilateral relationships were steadily fragmenting. For decades, sourcing and supply chain management was focused almost exclusively on achieving the lowest cost, and the world’s trade environment supported this approach. However, I observed that the new era of trade, supply chain planning and execution, would be more...
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Topics:
Office of Finance,
Continuous Planning,
Business Planning,
Operations & Supply Chain,
Enterprise Resource Planning,
continuous supply chain
Over the past decade, how organizations manage processes and record data related to transactional events captured by an enterprise resource planning system has undergone a significant evolution. Some of the more recent changes have been the result of a steady migration to the cloud, since these systems are typically updated frequently, require less maintenance, have better performance and are more readily available than those operating on-premises.
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Topics:
Office of Finance,
Business Planning,
ERP and Continuous Accounting,
digital finance
Breaking into the database market as a new vendor is easier said than done given the dominance of the sector by established database and data management giants, as well as the cloud computing providers. We recently described the emergence of a new breed of distributed SQL database providers with products designed to address hybrid and multi-cloud data processing. These databases are architecturally and functionally differentiated from both the traditional relational incumbents (in terms of...
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Topics:
Cloud Computing,
Data,
Digital Technology,
Digital transformation,
Digital Business,
data platforms,
Analytics & Data
With the emergence of multiple selling channels and the rise of the subscription model, the need for a unified approach to revenue planning and execution should be a priority for every organization. As I have written about in my analyst perspective Revenue Management: The Opportunity for Innovation and Optimization, this need to unify the approach and focus on alignment across all revenue supporting teams in furtherance of an organization’s objectives and targets is of key importance to ensure...
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Topics:
Sales,
Customer Experience,
Sales Performance Management,
Subscription Management,
Revenue Management,
Sales Engagement,
AI and Machine Learning
Any organization that relies heavily on a large labor force looks to automation to reduce costs, and contact centers are no exception. They handle interactions at such large scale that almost any effort to automate some part of the process can deliver measurable efficiencies. Two factors have ratcheted up attention on automating customer experience workflows: the dramatic expansion of digital interaction channels, and the development of artificial intelligence and machine learning tools to...
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Topics:
Customer Experience,
Voice of the Customer,
Analytics,
Data Integration,
Contact Center,
Data,
agent management,
data operations,
Digital Business,
Experience Management,
Customer Experience Management,
Field Service,
AI and Machine Learning