David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

JANUARY 14, 2025

How does our AI strategy support our business objectives, and how do we measure its value? Meanwhile, he says establishing how the organization will measure the value of its AI strategy ensures that it is poised to deliver impactful outcomes because, to create such measures, teams must name desired outcomes and the value they hope to get.

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Documentation and diagrams transform abstract discussions into something tangible.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

MARCH 25, 2025

These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps. production).

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

OCTOBER 23, 2024

To address this, Gartner has recommended treating AI-driven productivity like a portfolio — balancing operational improvements with high-reward, game-changing initiatives that reshape business models. Gartner’s data revealed that 90% of CIOs cite out-of-control costs as a major barrier to achieving AI success. “You

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

Smart Data Collective

OCTOBER 28, 2022

The benefits of investing in big data cannot possibly be understated. A report by McKinsey showed that data-driven companies have 15-25% higher earnings before interest, taxes, depreciation and amortization. As we pointed out before, Google is one of the many companies that uses big data to drive its decision making processes.

Data-driven 126

Data-driven Big Data Testing Management 126

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 364

IT Testing Experimentation Software 364

Smart Data Collective

OCTOBER 15, 2021

We have talked about the benefits of using big data in web design. One of the most important benefits of data analytics is improving user experience. Jenny Booth highlighted this in her post Data-informed design: Getting started with UX analytics. Big Data is Crucial for Improving Online User Experience.

Data-driven 136

Data-driven Advertising Big Data Optimization 136

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. I suggest that the simplest business strategy starts with answering three basic questions: What?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Smart Data Collective

OCTOBER 2, 2019

According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. That clearly indicates the importance that marketers give to data and why you should too. If your marketing initiatives are backed by data, they will have much higher success rates.

Data-driven 110

Data-driven Marketing Testing Optimization 110

Smart Data Collective

OCTOBER 5, 2021

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming.

Data-driven 135

Data-driven Management Big Data Software 135

AWS Big Data

MARCH 10, 2025

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

Optimization 68

Optimization Data Warehouse Data-driven Testing 68

DataKitchen

JANUARY 20, 2021

We’ll also discuss building DataOps expertise around the data organization, in a decentralized fashion, using DataOps centers of excellence (COE) or DataOps Dojos. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . DataOps Technical Services.

Metrics 243

Metrics Experimentation Measurement Testing 243

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. Data Gets Meshier. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

datapine

FEBRUARY 9, 2024

An even more interesting fact: The blogs we read regularly are not only influenced by KPI management but also concerning content, style, and flow; they’re often molded by the suggestions of these goal-driven metrics. The process helps businesses and decision-makers measure the success of their strategies toward achieving company goals.

KPI 221

KPI Management Key Performance Indicator Measurement 221

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC). The challenge is not simply a technical one.

Scorecard 177

Scorecard Data Quality Measurement Testing 177

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. They collect data from various departments of the company tracking key performance indicators ( KPIs ) and present them in an understandable way. They were using historical data only.

Reporting 263

Reporting Management Dashboards KPI 263

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . The top-line result was that 97% of data engineers are feeling burnout. .

Testing 246

Testing Data Governance Measurement Software 246

CIO Business Intelligence

JUNE 21, 2023

Cybersecurity products like next-generation firewalls , single vendor secure access service edge (SASE), and Zero Trust Network Access (ZTNA) are the best way to protect enterprise data and employees. Even worse, some technology testing firms still allow vendors to manipulate their methodologies to skew the test results in their favor.

Testing 98

Testing Measurement ROI Risk 98

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

FEBRUARY 4, 2025

Data and workflows lived, and still live, disparately within each domain. And its testing us all over again. At its core, AI asks us to challenge everything we know about how we structure, operate, and measure business success. They were new products, interfaces, and architectures to do the same thing we always did.

Digital Transformation 144

Digital Transformation Sales Optimization Enterprise 144

AWS Big Data

DECEMBER 7, 2023

Companies are increasingly seeking ways to complement their data with external business partners’ data to build, maintain, and enrich their holistic view of their business at the consumer level. In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign.

Measurement 105

Measurement Advertising Testing Data-driven 105

datapine

JUNE 18, 2019

A data-driven finance report is also an effective means of remaining updated with any significant progress or changes in the status of your finances, and help you measure your financial results, cash flow, and financial position. Make predictions based on trusted data. b) Measure Revenue Loss.

Reporting 251

Reporting Metrics KPI Finance 251

CIO Business Intelligence

MAY 23, 2024

Last year, for instance, the company launched a connected operating table and a solution called Servo Twinview, a digital ventilator twin where you can follow patient data by computer, smartphone, or tablet without having to disturb the patient unnecessarily.

Digital Transformation 111

Digital Transformation Measurement Cost-Benefit Data Warehouse 111

O'Reilly on Data

MAY 14, 2020

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product. is that there is often a problem with data volume.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

DECEMBER 18, 2024

CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. Its a business imperative, says Juan Perez, CIO of Salesforce.

Risk 105

Risk Risk Management Cost-Benefit Measurement 105

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Smart Data Collective

DECEMBER 9, 2021

Decision making is a big part of running a business, and in today’s world, big data drives that decision making. The power of big data has become more available than ever before. Big data has been highly beneficial to business. Data is one of the most important resources for any business. Understand Your Business.

Big Data 142

Big Data Data-driven Key Performance Indicator Testing 142