Your Ultimate Guide to Analytics Catalogs: Solving Today’s Biggest Challenges

Your Ultimate Guide to Analytics Catalogs: Solving Today’s Biggest Challenges

In the dynamic realm of analytics, navigating through the complex landscape can often feel like trying to find your way through an intricate maze. Enter the hero of our story: analytics catalogs. These powerful tools are not just about organizing your analytics assets; they’re about making sense of the analytics universe, answering the questions that plague many, and addressing the common pain points that hinder success. Let’s dive into the world of analytics catalogs, exploring how they serve as both a guide and a solution in the digital age.

What Exactly Is an Analytics Catalog?

Think of an analytics catalog as a comprehensive directory for all your analytics assets. It’s a tool that helps users discover, understand, and govern their analytics resources efficiently. But it’s more than just a list; it’s an intelligent guide that enhances understanding and facilitates strategic decision-making.

Why Do I Need an Analytics Catalog?

In the vast expanse of the analytics universe, it’s easy to feel overwhelmed. Here’s why an analytics catalog is not just a need but a necessity:

  • Clarity in Complexity: As the complexity of analytics environments grows, finding the right analytics at the right time becomes a daunting task. Analytics catalogs bring order to chaos, ensuring that you can quickly find and understand the analytics you need.
  • Enhanced Collaboration: They break down silos between departments, fostering a culture of shared insights and collaborative decision-making.
  • Governance and Compliance: With regulations tightening, having a centralized system to manage and govern your analytics is crucial. Analytics catalogs provide that oversight, ensuring compliance and data governance.

Common Pain Points Solved by Analytics Catalogs

  • Lost in the Volume: With an ever-increasing volume of analytics, finding specific analytics can be like looking for a needle in a haystack. Analytics catalogs organize and make searching more intuitive, saving time and frustration.
  • Quality and Trust Issues: Ever questioned the reliability of your analytics? Analytics catalogs help establish trust by providing context, lineage, and quality metrics, ensuring that you’re making decisions based on reliable insights.
  • Duplication of Efforts: Without a central view of all available analytics, teams often unknowingly replicate work. Analytics catalogs eliminate this inefficiency by making it easy to see what’s already available.
  • Lack of Governance: Managing who has access to what, ensuring compliance, and understanding the usage of analytics are significant challenges. Analytics catalogs address these by offering features for governance, compliance, and monitoring usage.

FAQs:

How does an analytics catalog improve decision-making?

  • By providing easy access to trusted analytics and enhancing understanding through metadata, catalogs ensure that decisions are made based on accurate and reliable insights.

Can analytics catalogs help with regulatory compliance?

  • Absolutely. They play a crucial role in governance and compliance by tracking the lineage of analytics and managing access, ensuring that regulations are met.

Are analytics catalogs suitable for all sizes of organizations?

  • Yes, from small businesses to large enterprises, any organization that relies on analytics to drive decisions can benefit from implementing an analytics catalog.

How do analytics catalogs facilitate collaboration?

  • They create a shared environment where insights can be easily discovered, accessed, and discussed across departments, enhancing collaboration and breaking down silos.

Analytics catalogs stand out as indispensable tools for navigating the complexities, fostering collaboration, ensuring governance, and ultimately, driving informed decision-making. By addressing these common questions and pain points, we hope to have illuminated the path for those considering the integration of analytics catalogs into their strategic BI arsenal.

Theia Rebrands as Digital Hive to become the ‘Netflix of Analytics and BI’ for Enterprises with Multiple Tools

Theia Rebrands as Digital Hive to become the ‘Netflix of Analytics and BI’ for Enterprises with Multiple Tools

“Cool Vendor” also announces new machine learning-driven personalization and recommendation capabilities as part of new product vision

29 September 2020 – US-based Theia, which provides an intelligent enterprise portal for organizations running multiple analytics and BI (ABI) tools, is rebranding to Digital Hive, and introducing new machine learning-driven capabilities for personalization and recommendations. Recently named a Gartner ‘Cool Vendor’, the company’s new vision is to be the ‘Netflix of Analytics and BI,’ helping business users to instantly unearth the enterprise dashboards, reports, KPIs and raw data that helps them to meet personal and shared objectives.

A unified experience…

Digital Hive connects most popular ABI platforms including ThoughtSpot, Tableau, Qlik, IBM Cognos as well as standard document systems such as Google Drive, SharePoint, Box and social media platforms. This means the typical company, which runs an average of 3.8 different ABI platforms simultaneously (Source: Gartner Cool Vendor 2020 Report – Analytics & Data Science) can provide its user community with a single, unified experience and the best tool or visualization for each job. Digital Hive customers boost returns on legacy ABI investments and raise user adoption levels.

…for meeting collective goals

The current crisis has accelerated many organizations’ change programs. By democratizing all available ABI tools and content, Digital Hive helps teams work collectively towards common goals such as digital transformation, restructuring after a merger or acquisition, or launching new commercial channels. By dismantling the information silos, Digital Hive also promotes data literacy by improving collaboration and adding an extra layer of context, helping users to see the complete ‘data story’.

Business travel company Clarity used Digital Hive to develop its Go2Insight service, which embedded ThoughtSpot’s search-driven analytics tool and more traditional BI reports from Cognos. According to Darren Williams, Head of Management Information and Data,

“Thanks to Digital Hive we were able to offer our customers really pioneering AI and search-driven analytics while still providing traditional reporting facilities to those who need them. This meant we could be bold and visionary, but without leaving any users behind.”

Personalized use cases and branding

Digital Hive is personalized for each organization, depending on their preferred use case. While many customers use Digital Hive as an ABI portal, others embed it into their intranets/extranets, customer, or supplier portals, or build bespoke portals. Companies can also set up different business units, customers, or suppliers to have their own custom-branded portals.

According to Kevin Hurd, Founder and CEO, Digital Hive:

“Companies are navigating through considerable change and uncertainty right now. Rather than more upheaval, most are pragmatic and want to leverage the tools, content, and skills they’ve already invested in. Some of our customers are running upwards of 15 different ABI tools. Whether a user needs a board report, a dashboard, or a quick data answer, Digital Hive presents these in a ‘Netflix-like’ experience, instantly recommending the best asset for the job.”

Additional Resources


About Digital Hive Digital Hive is a US-based software company that provides intelligent enterprise portal solutions, recommending and personalizing content from analytics, document systems and online applications. By providing a single, shared organizational view, federated search across tools, and custom branding, Digital Hive helps drive analytics adoption, improve data literacy, and deliver data stories for better decision making and business performance. A 2020 Gartner ‘Cool Vendor,’ Digital Hive is for most organizations that run multiple analytics and BI tools including customers like Clarity, DFS, Highmark, Froneri, Pomona College, and University of Denver.