CIO Business Intelligence

MAY 21, 2025

Generally speaking, the closer the AI is to your companys core revenue activities such as manufacturing a product or forecasting sales the more rigorous your standards for adoption should be, since the business impact of an incorrect output is greater. Ask your team questions like: Do you have enough data to train reliable models?

Metrics

DataFloq

JULY 8, 2025

Modern businesses leveraging AI-powered solutions report dramatic improvements in engagement rates, conversion metrics, and customer lifetime value. Comprehensive AI Integration Advantages Unlike static touchpoints, webinars provide rich, multi-dimensional data streams that AI can analyze and optimize in real-time.

Interactive

CIO Business Intelligence

NOVEMBER 14, 2024

Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Led by Pacetti, the company was able to reduce many variables in a complex system, like online sales and payments, data analysis, and cybersecurity. “We

ROI

CIO Business Intelligence

JUNE 24, 2025

This shift often led to strategic design decisions that favoured finance, where all data, primarily financial transaction data, as opposed to broader operational metrics like customer behavior, supply chain efficiency or production output, sometimes passed through finance first. Operational

Digital Transformation

CIO Business Intelligence

MAY 6, 2025

These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. Poor data quality: The silent killer of AI initiatives Lets start with the barrier often underplayed but most consequential: data quality.

Prescriptive Analytics

CIO Business Intelligence

JUNE 16, 2025

Research firm IDC defines data maturity as the use of advanced data quality, cataloging and metadata, and data governance processes. The research firm’s Office of the CDO Survey finds firms with data maturity are far more likely than other organizations to have generative AI solutions in production.

Data Warehouse

CIO Business Intelligence

MAY 12, 2025

At offsite retreats, morning stand-ups, sales kickoffs, 1:1 catch-ups and small-team weeklies, the message is the same: we need to get on the same page, sing from the same hymn book level-set, sync up, get aligned. Executives communicate data needs and ideas in natural language text in emails, conversations and presentations.

Visualization

CIO Business Intelligence

FEBRUARY 18, 2025

Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy. Data trust is simply not possible without data quality. A decision made with AI based on bad data is still the same bad decision without it.

Machine Learning

CIO Business Intelligence

JUNE 19, 2025

No more data silos, no more guessing games. I’ve seen firsthand how this kind of unification can transform not just marketing, but sales, service and even product development. The real magic happens when you start activating that data. Assess your data landscape. You get a cradle-to-grave view of every customer’s journey.

Marketing

AWS Big Data

MARCH 21, 2025

Amazon SageMaker Catalog serves as a central repository hub to store both technical and business catalog information of the data product. To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines.

Data Warehouse

CIO Business Intelligence

APRIL 16, 2025

Weve discussed the extensibility of data. Our BI warehouse that has staffing, finance, and sales data will never die. But by investing the data every hour, I can get more than a static dashboard. Lets keep building the parameters for a high value gen AI use case. We look at AI in three ways.

ROI

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality

datapine

AUGUST 21, 2019

As the head of sales at your small company, you’ve prepared for this moment. “Mr. Download our free executive summary and boost your sales strategy! That’s why, in this post, we’re going to go over 16 sales graphs and charts that will fuel your imagination and give you some useful resources. 1) Sales Performance.

Sales

AWS Big Data

AUGUST 8, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules commonly assess the data based on fixed criteria reflecting the current business state. After a few months, daily sales surpassed 2 million dollars, rendering the threshold obsolete.

Data Quality

AWS Big Data

MAY 23, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. After a few months, daily sales surpassed 2 million dollars, rendering the threshold obsolete.

Data Quality

datapine

JANUARY 21, 2020

One business report example can focus on finance, another on sales, the third on marketing. For example, a sales report can act as a navigational aid to keep the sales team on the right track. The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed.

Business Intelligence

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality

Octopai

JULY 11, 2022

Which sales strategies bring in the most customers, or the most loyal customers, or the highest revenue? When business users complain that they can’t get good enough data to make these types of calls wisely, that’s a big problem. going to convince top-level management that adopting a data quality strategy pays big dividends?

Data Quality

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence

DataKitchen

MARCH 16, 2023

So it’s Monday, and you lead a data analytics team of perhaps 30 people. But wait, she asks you for your team metrics. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. Where is your metrics report? What should be in that report about your data team?

Metrics

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing

O'Reilly on Data

MARCH 31, 2020

No company wants to dry up and go away; and at least if you follow the media buzz, machine learning gives companies real competitive advantages in prediction, planning, sales, and almost every aspect of their business. Without large amounts of good raw and labeled training data, solving most AI problems is not possible.

Management

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. It’s not about data quality .

Testing

CIO Business Intelligence

JANUARY 23, 2024

For example, McKinsey suggests five metrics for digital CEOs , including the financial return on digital investments, the percentage of leaders’ incentives linked to digital, and the percentage of the annual tech budget spent on bold digital initiatives. As a result, outcome-based metrics should be your guide.

Measurement

datapine

APRIL 16, 2019

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. In most cases, this can prove detrimental to the business.

Data-driven

datapine

AUGUST 7, 2019

A SaaS dashboard consolidates and visualizes critical SaaS metrics, covering sales, marketing, finance, consumer support, management, and development to offer an unobstructed panoramic view of the SaaS business and achieve better business performance and profit. Data quality , speed, and consistency in one neat package. .

Dashboards

Jet Global

MARCH 4, 2020

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. The only way to stay ahead in this fiercely competitive industry is through the implementation of manufacturing KPIs and metrics. What Is A Manufacturing KPI?

Manufacturing

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The results? 4) Improve Operational Efficiency.

Business Intelligence

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Below is an example historical balance test.

Testing

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality

datapine

FEBRUARY 22, 2022

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

Business Intelligence

AWS Big Data

JULY 13, 2023

These are run autonomously with different sales teams, creating siloed operations and engagement with customers and making it difficult to have a holistic and unified sales motion. Goals – Grow revenue, increase the conversion ratio of opportunities, reduce the average sales cycle, improve the customer renewal rate.

Optimization

CIO Business Intelligence

DECEMBER 21, 2022

Having too much access across many departments, for example, can result in a kitchen full of inexperienced cooks running up costs and exposing the company to data security problems. And do you want your sales team making decisions based on whatever data it gets, and having the autonomy to mix and match to see what works best?

IT

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

Data contracts should include a description of the data product, defining the structure, format and meaning of the data, as well as licensing terms and usage recommendations. A data contract should also define data quality and service-level key performance indicators and commitments.

Key Performance Indicator

CIO Business Intelligence

NOVEMBER 22, 2022

In-house data access demands take center stage CIOs and data leaders are facing a growing demand for internal data access. Data is no longer just used by analysts and data scientists,” says Dinesh Nirmal, general manager of AI and automation at IBM Data.

Data Strategy