Smart Data Collective

AUGUST 23, 2022

Are you running a company with a focus on big data? One survey showed that 32% of companies have a formal big data strategy. These companies tend to be far more profitable than businesses that do not utilize big data. However, some companies have to learn the hard way that desiring to utilize big data is not enough.

Big Data 105

Big Data Data Strategy Strategy Data-driven 105

CIO Business Intelligence

NOVEMBER 25, 2024

By understanding the objective and working backward to identify the relevant data, companies can ensure their models are built on the right information. It’s an iterative process that involves regular monitoring, testing, and refining to make sure the AI is always working with the best possible data.

Data Quality 99

Data Quality ROI Interactive Modeling 99

IBM Big Data Hub

APRIL 12, 2022

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. A data-literate culture.

Data Strategy 75

Data Strategy Strategy Enterprise Data-driven 75

O'Reilly on Data

MAY 14, 2020

According to VentureBeat , fewer than 15% of Data Science projects actually make it into production. Lack of alignment on a coherent overall data strategy, a focus on technology over impact, an inability to embrace an iterative, experimentational development cycle and lack of leadership support are among the many reasons AI projects falter.

Management 364

Management Experimentation B2B Machine Learning 364

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

CIO Business Intelligence

JANUARY 7, 2025

CIOs who struggle to make a business case solely on this driver should also present a defensive strategy and share the AI disasters that hit businesses in 2024 as an investment motivator. The focus will shift to enhancing user experiences, embedding AI capabilities, and iteratively improving business outcomes.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone recently announced the expansion of data analysis and visualization options for your project-subscribed data within Amazon DataZone using the Amazon Athena JDBC driver. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management. Yogesh Dhimate is a Sr.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

Depict Data Studio

JANUARY 12, 2021

I addressed this question on the Data Strategy Show with Samir Sharma. Samir Sharma is a data strategy and analytics leader, CEO and Founder of datazuum. He has a history of helping data executives and leaders craft and execute their data strategies. But they’ve never really tested it along the way.

Data Strategy 52

Data Strategy Strategy Dashboards Visualization 52

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” We build models to test our understanding, but these models are not “one and done.” The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

Smart Data Collective

JUNE 29, 2022

A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. How to Use Data to Improve Your Email Marketing Strategy. Test Different Calls-to-Action.

B2B 124

B2B Data-driven Marketing Strategy 124

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

DataKitchen

JUNE 24, 2021

Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Tyo pointed out, “Don’t do data for data’s sake. Data with context in the hands of the business at the right time, in the right place, that’s where we generate value. Be the provider of choice.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

CIO Business Intelligence

APRIL 8, 2025

This approach reduces the propagation of errors through data pipelines, leading to more reliable analytics and decision-making processes. Synthetic data. Utilizing AI-generated data to fill gaps and simulate rare events enables robust testing and model training without compromising sensitive information. federal agencies.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more. Other tools including Informatica, Keras, Splunk and Redis also made the list.

Testing 98

Testing Metadata Data Processing Machine Learning 98

CIO Business Intelligence

AUGUST 15, 2024

Valuation and diligence: Be intentional The valuation stage is critical to test assumptions, anticipated risks, and valuation, so it should clearly define the risks and elements of variability to ensure that missed assumptions and planning surprises can be identified and addressed.

Uncertainty 111

Uncertainty Risk Strategy Cost-Benefit 111

CIO Business Intelligence

AUGUST 22, 2023

Detecting and mitigating API abuse is critical to protect businesses and customers from data breaches, service disruptions, and compromised systems. This article explores effective strategies that empower organizations to safeguard their systems and valuable data.

Strategy 98

Strategy Measurement Testing Software 98

CIO Business Intelligence

SEPTEMBER 23, 2024

The emergence of generative artificial intelligence (GenAI) is the latest groundbreaking development to put payers to the test when it comes to staying nimble and competitive without taking unnecessary risks. Since it burst onto the scene, GenAI has brought the potential to be a game-changing force for every industry it touches.

Management 115

Management Experimentation Data-driven Strategy 115

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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. All of these execution patterns should be part of a unifying vision and a data operating model. .

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

CIO Business Intelligence

JANUARY 5, 2024

We closed three of our own data centers and went entirely to the cloud with several providers, and we also assembled a new data strategy to completely restructure the company, from security and finance, to hospitality and a new website. You mentioned assembling a new data strategy to restructure the company.

IT 116

IT Finance Cost-Benefit Strategy 116

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. You’ll also be responsible for managing building, patching, testing, and deployment of systems and platforms, ensuring that they meet clients’ needs.

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

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

CIO Business Intelligence

JANUARY 9, 2023

“Besides impacting customer experience, the absence of a seamless data integration and data management strategy was adversely affecting time to market and draining valuable human resources,” says Bob Cournoyer, senior director of data strategy, BI and analytics at Estes Express Lines.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 145

Big Data Data mining Data-driven Predictive Analytics 145

datapine

JANUARY 24, 2021

There are a number of online data visualization tools that can get the hard work done for you. These tools can effectively prepare the data and interpret the outcome. You can also test your analytical environment against manual calculations and compare the results.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

OCTOBER 13, 2023

According to Bob Lambert , analytics delivery lead at Anthem and former director of CapTech Consulting, important data architect skills include: A foundation in systems development: Data architects must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. 12xl) cluster The test included four types of queries that represent different production workloads that Cloudinary is running.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

TDAN

JUNE 16, 2020

The challenges of the coronavirus emergency and economic crunch has caused many organizations to go into survival mode. They created satellite offices, used shadow IT and unwittingly put information governance at risk.

Testing 52

Testing IT Risk Modeling 52

CIO Business Intelligence

NOVEMBER 16, 2022

So end to end, our strategic priority has stood the test of time. On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data. On re-recruiting talent: Employees today have more options than they had in the past.

IT 133

IT Modeling Digital Transformation Data Governance 133

FineReport

DECEMBER 11, 2019

– Data Divination: Big Data Strategies. Big data is changing our world. Effective use of big data helps companies analyze critical information more accurately, ultimately improving operational efficiency, reducing costs, reducing risk, accelerating innovation, and increasing revenue.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Smart Data Collective

APRIL 21, 2022

Data analytics can help with the UX process. However, you have to have the right data strategy in place to do this effectively. Here are five ways you can improve the UX of your website with big data. Data analytics can help you figure out how customers are interacting with your negative space.

Data Analytics 131

Data Analytics Analytics Big Data Machine Learning 131

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 97

Data-driven Management Big Data Sales 97

TDAN

MARCH 15, 2022

They make testing and learning a part of that process. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. And they continuously improve by integrating new insights into future cycles.

Data Governance 98

Data Governance Testing Data Strategy Business Intelligence 98

TDAN

DECEMBER 1, 2021

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.

Data Governance 83

Data Governance Testing Data Science Enterprise 83

Cloudera

NOVEMBER 30, 2021

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. The maturity model suggests that those with clear strategies and approaches to transform their technologies are ahead of their competitors.

Enterprise 73

Enterprise Reporting Data Strategy Strategy 73