Alation

JANUARY 20, 2022

They can also add their own tribal knowledge into the data catalog, further establishing the most authoritative data sources. A robust ecosystem of tools enables companies to address a wider range of problems to solve. In this blog, I’ve demonstrated how you might leverage that framework with a data catalog.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

IBM Big Data Hub

SEPTEMBER 19, 2023

They struggle to link IT outages to business impacts because data is often siloed and knowledge is tribal. The problem with traditional APM observability tools APM observability tools specialize in leveraging traces, metrics and logs to help IT keep applications healthy and running.

Measurement 79

Measurement Metrics Reporting Technology 79

Octopai

MAY 2, 2022

The term “DataOps” was coined by Lenny Leibman in 2014, both on his own blog and in a well-publicized (but no longer extant) article on the IBM Big Data & Analytics Hub. Through jidoka, quality problems are stopped in their tracks and prevented from reaching the consumer. . Who leads DataOps?

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

bridgei2i

NOVEMBER 24, 2020

Guided selling, sales forecasting and planning, sales opportunity recommenders, conversational engines for capturing sales knowledge – there’s a powerful role AI can play along the length and breadth of the sales ecosystem to drive operational effectiveness, and enable sales folks to do their jobs better.

Sales 52

Sales Enterprise B2B Forecasting 52

Sisense

JANUARY 13, 2021

The problem: Too much data, too little insight. Several of Pet Family’s pet food suppliers — Canagan, Tribal, McAdam, and Yora — have implemented Sisense within their own businesses. Any problems with picking runs, packing, non-shipments, etc., State-of-the-art distribution , thanks to data.

Sales 95

Sales Dashboards Business Intelligence Cost-Benefit 95

Alation

SEPTEMBER 6, 2022

These are the same problems that I’ve faced in biotech research!” The problem with that is you’re going through massive amounts of data. Bad data is a real, costly problem. So when I thought about those problems and I saw Alation working, I was like, “What if we apply this to a lot of the problems in the biological space?

Data-driven 52

Data-driven Software Testing Data Warehouse 52

Alation

MARCH 1, 2022

Through Impact Analysis, users can determine if a problem occurred with data upstream, and locate the impacted data downstream. Lineage helps them identify the source of bad data to fix the problem fast. This means we can identify problems from our data suppliers in minutes instead of hours or days. Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Data Lake Risk Data-driven 52

Alation

FEBRUARY 20, 2020

A data marketplace solves many of the problems that a data warehouse only begins to address: it provides visibility into data sets no matter where they are physically stored, it replaces tribal knowledge and word-of-mouth with verified information, and it shortens the cycle from analysis to insight.

Data Warehouse 52

Data Warehouse Metadata Data Lake Data Architecture 52

Alation

AUGUST 31, 2021

In the previous blog , we discussed how Alation accelerates your journey to the Snowflake Data Cloud. In this blog, we will discuss how Alation provides a platform for data scientists and analysts to complete projects and analysis with speed. They need a central place that connects everyone to share knowledge and experience.

Dashboards 52

Dashboards Recreation/Entertainment Machine Learning Data-driven 52

Alation

FEBRUARY 20, 2020

In a complex system, recognizing that there is a problem is exceedingly difficult. Making the commitment to solve the problem is sometimes even harder. Organizations are inundated with data, and finding data in itself is a problem. Subscribe to Alation's Blog. Data helps with both of these challenges.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Alation

JANUARY 10, 2023

These are companies that use an existing data catalog but are experiencing some problems or recognize areas that can be improved. These are companies that have tried to make something resembling a data catalog themselves — e.g., using business glossaries, spreadsheets, and other systems — but they have recognized problems with this method.

ROI 52

ROI Data Lake Strategy Data-driven 52

Alation

FEBRUARY 20, 2020

Enterprises are waking up to this fact and turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.[2]. Subscribe to Alation's Blog. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting Data-driven 52

Occam's Razor

SEPTEMBER 29, 2009

Here is the minor problem. For example if I were to measure impact of branding campaigns for this blog (remember it has no ecommerce of any sort) then this is how the report would look: My macro conversion is to add to my current total of 27,300 RSS feed subscribers. All well and good.

Measurement 130

Measurement Metrics Analytics Marketing 130

Sisense

JANUARY 13, 2021

The problem: Too much data, not enough insights. Several of Pets Corner’s pet food suppliers — Canagan, Tribal, McAdam, and Yora — have implemented Sisense within their own businesses. Now, they can use their time, knowledge, and experience to procure the best products for the business at the best price.

Sales 59

Sales Dashboards Management Finance 59

Alation

JULY 6, 2021

Deeper knowledge of how data is used powers deeper understanding of the data itself. If corporate cultures don’t change to meet that challenge, friction and problems around communication only get worse. This should include a knowledgeable and communicative leader. Subscribe to Alation's Blog. The result? Siloed Data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Occam's Razor

APRIL 30, 2008

Going out to collect enough tribal knowledge to actually know what is going on to then make recommendations from the data is not something that we do, nor are we encouraged by our Executives or our organization structures. Step one as always is to become aware of the above three problems. Most Squirrels / Ninjas live in a silo.

Dashboards 113

Dashboards Metrics KPI Consulting 113

Occam's Razor

NOVEMBER 15, 2010

Web Analytics blog was to pull us up 10,000 feet to do something we do less than 1% of the time in the web analytics world – look at the bigger business picture. Even without any knowledge of the company's goals or help from a stubborn HiPPO or clients who just want data pukes? The goal of my recent post on the Yahoo!

Reporting 140

Reporting Metrics Strategy Measurement 140

Occam's Razor

JULY 26, 2010

This is the problem with lonely metrics. The problem occurs when you proceed to look at six such graphs on your dashboard and then proceed to use the trends to deliver insights. If you do present your data as a trend it does not hurt to include some " tribal knowledge " and throw in some annotations!

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

MAY 18, 2010

way of identify actionable insights is on display in pretty much every single blog post I write. One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. The Problem. Tap into the tribal knowledge. All visits. Total revenue.

Analytics 124

Analytics Key Performance Indicator Metrics Measurement 124

Domino Data Lab

FEBRUARY 4, 2019

Without going into too much detail, alphabetic language leading into mechanistic print had filtered and shaped thought; tribal cultures which had relied on rich oral traditions got reshaped into nations, monetary economies, and so on. Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

CIO Business Intelligence

DECEMBER 6, 2023

But that’s not the only problem you might run into. Confusing and badly written content created by generative AI is already showing up in business contexts, with conference biographies, blog posts and slide decks that might sound impressive but make no sense being signed off by managers who should know better.

IT 133

IT Risk Management Interactive Risk 133

DataKitchen

APRIL 9, 2025

This creates a dynamic where data teams are expected to prevent problems without being seen, making it hard to advocate for the time and resources required to do the job well. As a result, data teams are stuck playing defense, constantly reacting to problems rather than proactively preventing them.

Data Quality 173

Data Quality Testing Dashboards Reporting 173

DataKitchen

APRIL 18, 2025

And in large organizations, thats not a rare problem. TestGen covers 27 kinds of data hygiene problems : from the usual suspects like missing values and bad formats to more subtle issues like inconsistent categories, skewed distributions, and internal contradictions. Its the norm. This isnt because people are lazy or careless.

Data Quality 118

Data Quality Testing Predictive Modeling Statistics 118