ISG Software Research Analyst Perspectives

AWS Cloud Data Platform Services Expand Workload Placement Options

Posted by Matt Aslett on 19 January 2022

Few trends have had a bigger impact on the data platforms landscape than the emergence of cloud computing. The adoption of cloud computing infrastructure as an alternative to on-premises datacenters has resulted in significant workloads being migrated to the cloud, displacing traditional server and storage vendors. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data

Reltio Connects MDM in the Cloud for Business

Posted by David Menninger on 11 January 2022

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Analytics and Data

Configure, Price and Quote Software Supports Profitability Management

Posted by Robert Kugel on 07 January 2022

Pricing is an issue that almost every for-profit company confronts – and usually agonizes over. Chief financial officers must play a part in setting the strategic direction of pricing in their organization. They should not be involved in tactical pricing decisions because they are not close enough to markets and customers, but they should be part of the strategic design of pricing, especially as... Read More

Topics: Office of Finance, Analytics, Financial Performance Management, Digital Commerce

MongoDB Accelerates Data Platform Cloud Adoption with Atlas

Posted by Matt Aslett on 05 January 2022

The need for data-driven decision-making requires organizations to transform not only the approach to business intelligence and data science but also accelerate the development of new operational applications that support greater business agility, enable cloud- and mobile-based consumption, and deliver more interactive and personalized experiences. To stay competitive, organizations need to... Read More

Topics: Analytics, Cloud Computing, Analytics and Data

Couchbase Modernizing Relational Database Workloads

Posted by Matt Aslett on 30 December 2021

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... Read More

Topics: Business Continuity, Analytics, Data, Digital Technology

Hydroanalytic Data Platforms Power Data Lakes’ Strategic Value

Posted by Matt Aslett on 23 December 2021

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... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, AI and Machine Learning

Data Platforms Landscape Divided Between Analytic and Operational

Posted by Matt Aslett on 14 December 2021

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... Read More

Topics: business intelligence, Analytics, Data, data lakes, data operations, AI and Machine Learning

Automating Workflows for a Better Customer Experience

Posted by Keith Dawson on 01 December 2021

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... Read More

Topics: Customer Experience, Voice of the Customer, Analytics, Data Integration, Contact Center, Data, agent management, data operations, Experience Management, AI and Machine Learning

TIBCO Broadens Portfolio for Improved Analytics Efficiency

Posted by David Menninger on 30 November 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters,... Read More

Topics: embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Data, Digital Technology, data lakes, AI and Machine Learning

Analytic Ops: The Last Mile of Data Ops

Posted by David Menninger on 24 November 2021

Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI)... Read More

Topics: business intelligence, Analytics, Data Governance, Data, Digital Technology, data operations

Revenue and Commercial Operations: The Difference Matters

Posted by Stephen Hurrell on 18 November 2021

The emergence of the Chief Revenue Officer (CRO) has mirrored the adoption of the subscription model and the development of multiple selling and buying channels over and above the traditional direct sales model, referred to as Revenue Management. Supporting the traditional sales team and management was the sales operations team with responsibilities around incentive compensation, territory and... Read More

Topics: Sales, Customer Experience, Analytics, Sales Performance Management, Digital Commerce, Subscription Management, partner management

Talend Data Fabric Simplifies Data Life Cycle Management

Posted by David Menninger on 16 November 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. The platform enables personnel to work with relational databases, Apache Hadoop, Spark and NoSQL databases for cloud or on-premises jobs. Talend data integration software offers an open and scalable... Read More

Topics: Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, Digital Technology, data lakes, AI and Machine Learning

Google Cloud Advances to Multi-Cloud

Posted by Matt Aslett on 11 November 2021

Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and... Read More

Topics: Analytics, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, AI and Machine Learning

What Makes a Metric a KPI?

Posted by David Menninger on 09 November 2021

How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of... Read More

Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Streaming Analytics, AI and Machine Learning

NICE CXi Is a Pivot to the Post-Contact Center World

Posted by Keith Dawson on 04 November 2021

When NICE acquired inContact in 2016, it began a transformation that saw it broaden its product offering and positioned itself to play a larger role in the contact center and customer experience industries. It was a prescient move, creating a firm that could supply end-to-end contact center functionality in the cloud. And it anticipated today’s market dynamic, in which NICE and its competitors... Read More

Topics: Customer Experience, Voice of the Customer, Business Continuity, Analytics, Contact Center, Data, Digital transformation, agent management, Experience Management, AI and Machine Learning

Using Event Data in Financial Services to Improve Business Processes

Posted by David Menninger on 03 November 2021

Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service... Read More

Topics: Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics

AI’s Value to Contact Centers: What Are the Use Cases

Posted by Keith Dawson on 28 October 2021

In part one of this Analyst Perspective on the use of artificial intelligence within contact center applications, we focused on the evolution — and resulting benefits — of tools embedded with AI, including ease-of-use for non-data-scientists. In this Analyst Perspective, we’ll explore the most beneficial applications of this technology in contact centers. To understand how contact centers... Read More

Topics: Customer Experience, Voice of the Customer, Analytics, agent management, AI and Machine Learning

Databricks Lakehouse Platform Streamlines Big Data Processing

Posted by David Menninger on 26 October 2021

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface. The platform supports streaming data, SQL... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Information Management, Data, data lakes, AI and Machine Learning

The Digital Awakening of Business Process Intelligence

Posted by Mark Smith on 21 October 2021

The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business.... Read More

Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Cloud Computing, Contact Center, Data, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, Digital transformation, natural language processing, continuous supply chain, agent management, Process Mining, Streaming Analytics, Experience Management, AI and Machine Learning

AI’s Value to Contact Centers: Improved Customer and Agent Experiences

Posted by Keith Dawson on 21 October 2021

When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be... Read More

Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management, AI and Machine Learning