CIO Business Intelligence

FEBRUARY 14, 2023

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back. ML models need to be built, trained, and then deployed in real-time.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

erwin

DECEMBER 9, 2024

But how can delivering an intelligent data foundation specifically increase your successful outcomes of AI models? And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them? And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

DataKitchen

JUNE 24, 2021

Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Automate the data collection and cleansing process. Tyo pointed out, “Don’t do data for data’s sake. There is no data strategy, it’s only a business strategy.”. Take a show-me approach.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

CIO Business Intelligence

APRIL 6, 2022

The faster applications can be deployed, data can be integrated and refined, different algorithms and data sets can be tested for new models, the faster business can make new decisions. 2) The real-time data pattern. A real-time data pattern guides architects, data engineers, and developers in change management.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). Additional considerations – Factor in additional tasks beyond schema conversion.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. What’s your data strategy?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? Security breach? Massive cloud consumption bill you can’t account for?

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. This separation means changes can be tested thoroughly before being deployed to live operations. It helps HEMA centralize all data assets across disparate data stacks into a single catalog.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

Anmut

APRIL 6, 2023

You can think of a data maturity assessment as a health check-up for your organisation’s data practices, just like how a doctor evaluates your physical health by checking your vitals and running tests, a data maturity assessment evaluates your organisation’s data management.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Ontotext

SEPTEMBER 15, 2020

Ontotext Platform ensures data is accessible to the people in the organization that need the data rather than depending on a technical staff to package it and ferry it to them. Consider using data catalogs for this purpose. Clean data to ensure data quality.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Data Insight

APRIL 15, 2019

With the vast array of data available and a competitive landscape driving ongoing tactical demands, focusing on developing a proper data strategy is crucial, but can be a big task. On the one hand, the more data you have, the better. Do the ‘So What’ test: Are your analytics and outputs actionable?

Data-driven 45

Data-driven Strategy Data Strategy Machine Learning 45

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council. Service Validation and Testing X X.

Management 98

Management Risk Measurement Optimization 98

TDAN

JUNE 15, 2021

billion annually due to improperly organized testing – despite the fact that 25-40% of budget funds are allocated to methods and tools for Quality Assurance (QA) organization. According to research work done by the National Institute of Standards and Technology, the US economy loses from $22.5 billion to $59.5

Testing 52

Testing Technology Data Quality Data Strategy 52

Peter James Thomas

OCTOBER 30, 2018

Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). It may be to build a new (or a first) Data Architecture. It may be to remediate issues with an existing Data Architecture.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Peter James Thomas

SEPTEMBER 19, 2018

Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Strategy. Data Wrangling (contributor: Tenny Thomas Soman ). Testing Data (Training Data). Explainable AI (contributor: Tenny Thomas Soman ). Information Governance.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

BI-Survey

SEPTEMBER 22, 2021

The most important conditions for the successful use of advanced analytics are having the right tool, promoting the topic within the company, training business users in how to analyze data sets and having a holistic data strategy in place. Data literacy is seen by most as one of the biggest barriers to this.

Analytics 52

Analytics Cost-Benefit Machine Learning Measurement 52

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

AWS Big Data

FEBRUARY 1, 2023

Clients access this data store with an API’s. Amazon S3 as data lake For better data quality, we extracted the enriched data into another S3 bucket with the same AWS Glue job. This will make launching and testing models simpler.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

APRIL 9, 2025

Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to data quality and governance. Data and analytics leaders will need to evolve how they view the role of enterprise analytics in the Age of AI.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. The first use case helps predict test results during the car assembly process.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

CIO Business Intelligence

JANUARY 30, 2025

For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. Specific solutions like IBM, K2view, Oracle and Informatica will revolutionize data masking by offering scale-based, real-time, context-aware masking.

Management 113

Management Data-driven Data Governance Unstructured Data 113

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111

CIO Business Intelligence

NOVEMBER 25, 2024

There was no data warehouse or common data environment, so employees were sourcing their own data, doing their own extracts, and reformatting and manipulating data to produce dashboards. She realized HGA needed a data strategy, a data warehouse, and a data analytics leader.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

CIO Business Intelligence

FEBRUARY 7, 2025

She notes that Honeywell is well-positioned to leverage gen AI because of the work its done on its data and data strategy. The technology has many exciting applications, but a rock solid data strategy is an essential first step. You cant have a gen AI strategy without a data strategy, she says.

Data Warehouse 80

Data Warehouse Data-driven Data Strategy Metrics 80

AWS Big Data

APRIL 29, 2025

As our datasets grew, the lack of modularity in our data design increased complexity, making scalability and maintenance increasingly difficult. The absence of robust testing and lineage solutions made it challenging to identify the root causes of data inconsistencies when they occurred.

Data Transformation 55

Data Transformation Cost-Benefit Testing Data Lake 55

CIO Business Intelligence

APRIL 29, 2025

Their value will extend beyond legal protection to include optimizing data governance for competitive advantage. These frameworks should address data quality, algorithmic bias, transparency, and accountability mechanisms that can adapt to evolving regulatory requirements.

Risk 72

Risk Gap analysis Risk Management Strategy 72