Search within Analyst Perspectives blog:
Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.
Read MoreTopics: Collaboration, Data Governance, Data Preparation, Information Management, Data, blockchain, data lakes
For interactions with customers to go well, organizations must manage an ever-increasing array of engagement channels. Our research finds that organizations expect to see interaction volumes increase on all channels, especially digital ones such as text-based messaging, chat, mobile and social apps. Unfortunately, the systems that manage these channels are typically disparate and uncoordinated...
Read MoreTopics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Subscription Management, agent management, extended reality, AI and Machine Learning
Using customer analytics effectively involves several challenges. Organizations must make it a business priority, cultivate leadership and set a course for ensuring data and analytics are being processed and governed effectively. But effectiveness also requires technology that will assist in the effective operations and management of customers and help an organization achieve its goals.
Read MoreTopics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Conversational Computing, collaborative computing, mobile computing, Subscription Management, agent management, extended reality, AI and Machine Learning
Configure, price and quote (CPQ) software has been around for decades. Lately, I’ve been using the term “Dynamic CPQ” to apply to a variant of this software category that explicitly aims to produce a quote that optimizes the trade-off between the profitability of a deal and the probability of closing a sale. Dynamic CPQ software is a hybrid of price and revenue optimization (PRO) software and...
Read MoreTopics: Customer Experience, Office of Finance, Data Preparation, Information Management, Sales Performance Management, Financial Performance Management, Price and Revenue Management, robotic finance, revenue and lease accounting, sales enablement
Customer analytics have never been more important, but effectively creating and managing them is not easy. The data that’s required to achieve visibility into all customer activity involves many applications and systems and it’s a challenge to ensure the data used is accurate and consistent. Even once data is assembled, organizations often struggle to apply analytics to create the metrics that...
Read MoreTopics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, Intelligent CX, Conversational Computing, collaborative computing, Subscription Management, agent management, extended reality, AI and Machine Learning
Having effective analytics enables businesses to understand far better than ever before the data they’re collecting, and to do so in greater volumes and more forms. These new capabilities are especially relevant to sales organizations. When applied to sales data, analytics can help sales teams achieve quotas and forecast more consistently, as well as understand the impacts of incentives and...
Read MoreTopics: Customer Experience, Voice of the Customer, business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Digital Technology, Digital Commerce, blockchain, natural language processing, data lakes, Intelligent CX, Subscription Management, agent management, AI and Machine Learning
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to...
Read MoreTopics: Customer Experience, Human Capital Management, Voice of the Customer, embedded analytics, Learning Management, Analytics, Business Intelligence, Collaboration, Data Governance, Data Lake, Data Preparation, Information Management, Internet of Things, Contact Center, Data, Product Information Management, Sales Performance Management, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Technology, Digital Marketing, Digital Commerce, ERP and Continuous Accounting, blockchain, natural language processing, robotic finance, Predictive Planning, candidate engagement, Intelligent CX, Conversational Computing, Continuous Payroll, revenue and lease accounting, collaborative computing, mobile computing, Subscription Management, total rewards management, intelligent marketing, intelligent sales, AI and Machine Learning
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a...
Read MoreTopics: business intelligence, embedded analytics, Analytics, Collaboration, Data Lake, Information Management, Internet of Things, Data, Digital Technology, AI and Machine Learning
“Platform,” as used in the world of technology, originally referred to an operating system on which one could construct software applications. More recently, its usage has been expanded to apply to two types of business models. One enables third parties to create products and services that are complementary to a company’s core technology. For instance, both Apple and Salesforce have attracted a...
Read MoreTopics: Human Capital Management, Marketing, Office of Finance, Voice of the Customer, Continuous Planning, Information Management, Internet of Things, Workforce Management, Financial Performance Management, Price and Revenue Management, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting, robotic finance, Predictive Planning, revenue and lease accounting, collaborative computing, mobile computing, Subscription Management
It’s no secret that employees are overwhelmed. They’re having to use an array of systems and enterprise tools in the flow of work and deal with an explosion of email messages and other communications requiring some response or action and mountains of content to consume and retain. On top of these time demands, employees must try to keep up with a staggering amount of organizational change.
Read MoreTopics: Human Capital Management, business intelligence, Learning Management, Information Management, Workforce Management, Digital Technology, natural language processing, AI and Machine Learning
Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.
Read MoreTopics: Big Data, Analytics, Cloud Computing, Data Integration, Data Management, Information Management, Qlik, Qlik Qonnections
Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.
Read MoreTopics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, blockchain, data lakes, AI and Machine Learning
This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the...
Read MoreTopics: Big Data, Data Warehousing, Teradata, Analytics, Data Governance, Data Management, Data Preparation, Information Management, Data, Digital Technology
We at Ventana Research recently published our research agendas for 2018. The world of data and information management continues to evolve, as does our research on the use of these technologies to improve your organization’s operations. Relational databases are no longer the only viable enterprise data store as more organizations adopt a polyglot database infrastructure. And while their exact form...
Read MoreTopics: Data Governance, Information Management, Data, blockchain
Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to...
Read MoreTopics: Big Data, Data Science, Analytics, Data Governance, Data Integration, Data Preparation, Information Management, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics,...
Read MoreTopics: Big Data, Analytics, Business Intelligence, Collaboration, Data Integration, Data Preparation, Information Management, Internet of Things
I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18 press releases in conjunction with OpenWorld related to cloud...
Read MoreTopics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management
Teradata recently held its annual Partners conference, at which gather several thousand customers and partners from around the world. This was the first Partners event since Vic Lund was appointed president and CEO in May. Year on year, Teradata’s revenues are down about 5 percent, which likely prompted some changes at the company. Over the past few years Teradata made several technology...
Read MoreTopics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management
Ventana Research coined the term “enterprise spreadsheet” in 2004 to describe a variety of software applications that add a desktop spreadsheet’s user interface (usually that of Microsoft Excel) to components that address the issues that arise when desktop spreadsheets are used in repetitive, collaborative enterprise processes. Enterprise spreadsheets are designed to provide the best of both...
Read MoreTopics: Sales Performance, Supply Chain Performance, Office of Finance, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Financial Performance Management (FPM)
It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.
Read MoreTopics: Big Data, Business Analytics, Business Intelligence, Information Management, Operational Intelligence
