The Real Costs of Building vs. Buying Data Analytics Capabilities

February 1, 2019

Today, many organizations must find solutions that organize and analyze the masses of data in their systems. It’s a complex puzzle that requires skillful resource management and careful planning, which leads organizations to weigh the two options: build an in-house solution or buy it from a vendor. Big data can be a source of tremendous value to organizations however, managing, organizing and mining that data can seem like an overwhelming task. Having the right analytics accessible through dashboards, reports and visualization can increase organizational efficiency and spur innovation. Companies that leverage big data analytics outperform their competitors by 20% or more and big data can help businesses realize a potential increase of 60% operating margins1.

Spotlight

Madison Logic

Madison Logic’s global account-based marketing (ABM) solution empowers B2B marketers to convert their best accounts faster. By integrating the ML Data Cloud with CRM and marketing automation platforms, intent data, and more than 20 other datasets, marketers execute a unified activation strategy across the funnel with ABM Advertising and ABM Demand Generation to align with sales, accelerate the buyer journey, and drive growth.

OTHER WHITEPAPERS
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Top 5 Trends in Data & BI Governance

whitePaper | August 19, 2022

Metric Insights recently partnered with Donna Burbank on a webinar on trends for Data & BI governance in 2022. Burbank is the managing director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology.

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Best practices – using Incorta to modernize your Oracle BI environment

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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How to Accelerate Delivery of Your BI Strategy

whitePaper | July 1, 2022

Data is an extremely valuable asset in today’s world. After all, there are entire industries based on it. Because of this, it’s important to evangelize the value of data within your organization.

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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Spotlight

Madison Logic

Madison Logic’s global account-based marketing (ABM) solution empowers B2B marketers to convert their best accounts faster. By integrating the ML Data Cloud with CRM and marketing automation platforms, intent data, and more than 20 other datasets, marketers execute a unified activation strategy across the funnel with ABM Advertising and ABM Demand Generation to align with sales, accelerate the buyer journey, and drive growth.

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