CIO Business Intelligence

APRIL 8, 2024

Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices.

Analytics 107

Analytics Broadcasting Predictive Analytics Metrics 107

Smart Data Collective

MAY 10, 2022

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Data analytics serves many different purposes. They are also using it to improve relationships between employees.

Data Analytics 133

Data Analytics Analytics Big Data Data-driven 133

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. Hybrid cloud is the Model of Choice.

Cost-Benefit 95

Cost-Benefit Strategy Data Science Data Processing 95

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

Metadata 80

Metadata Data Lake Optimization Modeling 80

Smart Data Collective

NOVEMBER 2, 2022

As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021. The Fintech sector is among those most reliant on data-driven marketing. The industry has access to massive amounts of data, so it should leverage them to make the most of their customer outreach and support strategies.

Marketing 138

Marketing Big Data Data-driven Sales 138

Smart Data Collective

SEPTEMBER 23, 2021

You want to make sure that any creative agency you hire understands the relevance of big data and knows how to incorporate it into their designs. Data-Savvy Creative Agencies Are Necessary in 2021. Creative firms that understand big data will be able to come up with more informed observations. Industry knowledge.

Data Analytics 115

Data Analytics Analytics Cost-Benefit Big Data 115

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 Testing 246

Cloudera

JANUARY 5, 2023

Data contains valuable insights for critical business decision-making, and the most innovative and successful organizations recognize data as a strategic resource that demands its own strategy. How this strategy looks depends on the organization’s unique business needs as one affects the other.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. For that, he relied on a defensive and offensive metaphor for his data strategy. For now, it operates under a centralized “hub and spokes” model.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

MARCH 8, 2023

Upgrading IT and data security to reduce corporate risk was the No. Almost half (49%) called out increasing cybersecurity protections as the top business initiative driving IT investments this year, up from 34% in 2021. The push for elevated cybersecurity protections is also filtering down into storage and data management requirements.

Risk 52

Risk Strategy Management Modeling 52

Cloudera

AUGUST 22, 2021

And yet I know that cloud adoption, particularly a hybrid multi-cloud model, is the way forward in navigating headwinds like global supply chain disruptions, Covid lockdowns and giving businesses a competitive edge to propel them to unimagined levels. There also needs to be a cloud-first strategy that should have buy-in from upper management.

Cost-Benefit 103

Cost-Benefit Strategy IoT Digital Transformation 103

CIO Business Intelligence

MARCH 15, 2022

Companies are capitalizing on only about half (49%) of their data sets to derive direct business value, and 34% feel they are falling short of strategic data-related goals. What’s more, the uphill battle typically hinges on changing culture to embrace a data-first mentality. Data champion to the rescue.

IT 94

IT Data-driven Digital Transformation Business Objectives 94

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. There is no hierarchy among the six action areas.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

AWS Big Data

APRIL 19, 2023

The data science algorithm Valentine is an effective tool for this. Valentine is presented in the paper Valentine: Evaluating Matching Techniques for Dataset Discovery (2021, Koutras et al.). A knowledge graph allows us to combine data from different sources to gain a better understanding of a specific problem domain.

Technology 78

Technology Data-driven Machine Learning Sales 78

Andrew White

APRIL 12, 2021

This essentially means that data and analytics leaders and their business peers need to reengineer how they take decisions. Digitalization also demands different data and analytics strategies, culture, skills, governance practices, organizational models and cultures. Synthetic Data Helps Re-engineer Decision Making.

Analytics 59

Analytics Data-driven Publishing Digital Transformation 59

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. The average salary for a data scientist is $122,004 per year, with a reported salary range of $90,000 to $176,000 per year, according to data from Glassdoor.

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

IBM Big Data Hub

APRIL 6, 2023

Organizations sourcing, screening, interviewing, hiring or promoting individuals in New York City are required to conduct yearly bias audits on automated employment decision-making tools as per New York City Local Law 144 , which was enacted in December 2021.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

TDAN

JUNE 30, 2020

Tobi Lutke, CEO of Shopify, announced, “We will keep our offices closed until 2021 so that we can rework them for this new reality”, suggesting that office centricity is over. Aside from changes in the ways we’re working, we’ve seen pivots in business models. In […].

Modeling 59

Modeling Data Strategy Business Intelligence Big Data 59

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Tyo pointed out, “Don’t do data for data’s sake.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. .

Predictive Modeling 70

Predictive Modeling Data Warehouse Enterprise Management 70

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Andrew White

MARCH 6, 2020

The gaps I found and where I felt the paper fell down was in these areas: Defining what an information or data economy is, and. What data is to be subject to the public policy debate of the day. This is particularly interesting since I also just read the EU’s new Data Strategy white paper. If not, why not? But I digress.

Cost-Benefit 59

Cost-Benefit Marketing Data Strategy Software 59

AWS Big Data

FEBRUARY 1, 2023

This data is used in procuring devices’ inventory to meet Amazon customers’ demands. With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. Modern enterprises have to adopt a dual strategy.”.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. To understand how the ODP framework met the company’s disaster recovery (DR) design criterion, we first need to understand the DR architecture strategy at a high level.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. We discuss data model design for both NoSQL databases and SQL data warehouses.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

NOVEMBER 25, 2021

Protect: security needs including risk management, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . Connect: connecting multiple data sources to deliver a more complete understanding of a business and its customer and partner relationships.

Machine Learning 88

Machine Learning IoT Risk Digital Transformation 88

Alation

MARCH 28, 2023

That’s why the UK Ministry of Defence’s (‘MoD’) published the Data Strategy for Defence which for the first time presented a clear vision for gathering, collating, and harnessing data by defence sector partners. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Cloudera

DECEMBER 21, 2020

Today, the focus should be on harnessing all available insights, in order to derive the best possible results, while also securing and governing data in a way that meets compliance requirements. This year’s winner, the West Midlands Police, stood out with its groundbreaking data strategy that did both of these things.

Enterprise 94

Enterprise Data-driven Data Architecture Machine Learning 94

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. This is the first post in a series of three on data-driven organisations.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

Cloudera

APRIL 22, 2021

American Climate Leadership Summit (ACLS 2021) – This event held April 27-29 is the 10th annual event bringing together climate leaders. We estimate that the increase in historical data storage will expand by 24x when estimating the 5-year storage requirements. Rigorous and continuous update to models as updates are forthcoming.

Marketing 69

Marketing Finance Insurance Reporting 69

CIO Business Intelligence

JUNE 14, 2022

One remedy for this disconnect has been to give data a seat at the C-suite table, with many companies over the past several years hiring chief data officers (CDOs) to helm data initiatives. But in 2021, Harvard Business Review noted that the average tenure of a CDO is between two and two-and-a-half years.

Data Transformation 144

Data Transformation Data-driven Data Strategy Strategy 144

CIO Business Intelligence

APRIL 6, 2022

By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. Execution patterns in an operating model. 1) The cloud-native pattern.

Cost-Benefit 131

Cost-Benefit Digital Transformation Data-driven Strategy 131