Resources

Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

Buyer's Guide for Supply Chain Network Design Software

Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain. As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. This Buyer’s Guide helps you find easy-to-use technology to become more proactive and less reactive when it comes to network design and optimization.

Top 5 Analytics Features to Reach More Users with Valuable Data Insights

Jinfonet

Ready to expand the benefits of your BI and analytics? This eBook describes the key capabilities that product, IT, and business owners must consider when charting a plan to scale up business benefits from data and analytics.

Buyer’s Guide for Embedded Analytics

Jinfonet

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

Assessing the Five Styles of Enterprise Business Intelligence

Jinfonet

The world of BI and analytics has evolved. Discover the five styles of reporting and analysis, and learn the pros and cons of each in an enterprise scenario.

The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

Innovation Systems: Advancing Practices to Create New Value

Data Robot

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.

ABM Success Recipe: Mastering the Crawl, Walk, Run Approach

ZoomInfo

Shifting to an account-based marketing (ABM) strategy can be both exciting and challenging. Well-implemented ABM motions build engagement with high-value accounts and drive impactful campaigns that resonate with your audience. But where do you begin, and how do you progress from crawling to running? Watch now as Demand Gen experts delve into the essentials of each stage of the ABM process.

Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. The problem is, there are few options available that minimize the risk to the business during the migration process and that’s one of the reasons why many organizations are still using Hadoop today. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.

4 Key Steps to Data Transformation Success with Data Mesh

Today, the average enterprise has petabytes of data. Disparate datasets and technologies make it more difficult than ever to give your customers and users the information and insight they need, when they need it (and how they want it) while addressing the complexities of compliance, governance, and security. Find out how Data Mesh can help you overcome these challenges and more.

Online Banking Without Third-Party Cookies

Since the inception of cookies in 1994, advertisers and brands have come to depend on them as a tool to help websites remember users. Consumers have tolerated them as a necessary cost of doing business online, even as they’ve grown to loathe them. As the end of third-party cookies looms ever closer, some consumers are rejoicing in their demise while many advertisers and brands worry about how they’ll move forward without them.

The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

Datadog

Organizations are increasingly seeing the value of observability in delivering on their digital initiatives. Through assessments, Datadog has distilled the top five business outcomes organizations see when leveraging Datadog’s observability platform, like increased customer conversion, and what this could mean for other enterprise organizations.

5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases. Supply Chain Network Design. Sales and operations planning (S&OP). Sales and Operations Execution (S&OE).

7 Winning Lead Generation Strategies to Drive Growth

As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. In this whitepaper, you’ll see real-world examples from leading B2B businesses and learn new ways of using data to: Improve lead quality. Identify the stakeholders who are in-market for your products/services.

The Definitive Guide to Microsoft 365 Backup and Data Protection

More than 250 million commercial users rely on M365 every month, creating more unstructured business data than ever before. What M365 doesn’t offer is a built-in data protection and disaster recovery solution, which represents a big gap in its services. Download our guide to learn what you can do to make sure your M365 data is backed up and protected.

The Practical Guide to Using a Semantic Layer for Data & Analytics

Learn how and why the world’s most data-driven organizations use a semantic layer for speed of thought query performance and consistent KPIs across all of their BI/AI tools, such as Excel, Power BI, Tableau, Looker, Databricks, DataRobot, and H20, using a live data connection to Snowflake, Google BigQuery, Databricks, Amazon Redshift, Microsoft Azure Synapse and more.

The Engineering Leader's Guide to Empowering Excellence With Data

Create the Optimal Environment for Developer Success. A software engineering team is most commonly measured by its outputs — the quality of the code delivered and the speed at which it was shipped. Yet the first step to achieving success is the inputs; leaders need to create an environment that enables developers to excel. In this ebook, The Engineering Leader's Guide to Empowering Excellence With Data, you’ll learn how data can help you: Identify and eliminate blockers to help developers stay o