Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 104

Analytics Metadata Data Strategy Optimization 104

TDAN

NOVEMBER 14, 2023

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

Data Governance 52

Data Governance Data Strategy Strategy Data Analytics 52

CIO Business Intelligence

JANUARY 22, 2024

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. This is the overarching guidance that drives digital transformation.

Unstructured Data 91

Unstructured Data Digital Transformation Data Strategy Modeling 91

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. Data Center, Data Management, Digital Transformation To learn more, visit us here.

Insurance 90

Insurance Strategy Data Governance Data Integration 90

TDAN

APRIL 18, 2023

Tenets to “Thriving” As a CDAO In the first part of this blog, I wrote about challenges Chief Data Analytics Officers face in their role. They form a guiding framework to build sustainable data-driven […]

Data Analytics 52

Data Analytics Analytics Data-driven Data Strategy 52

TDAN

APRIL 4, 2023

Today, almost every organization across industries recognizes they should hire Chief Data Analytics Officers (CDAOs) to lead the business with data-driven transformations. More CDAOs exist worldwide than ever before in the entire history of data.

Data Analytics 52

Data Analytics Analytics Data-driven IT 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 59

Data-driven Enterprise Data Governance Data Lake 59

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

Cloudera

OCTOBER 19, 2022

In the Hybrid Data Architectures survey report conducted by 451 Research, a part of S&P Global Market Intelligence, nearly 60% of telco organizations reported having repatriated data/analytics workloads from public cloud environments to on-premises/colocation data center environments during the past 12 months.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

CIO Business Intelligence

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets. Artificial Intelligence

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives. “Few

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

bridgei2i

APRIL 28, 2020

I really enjoyed talking with Doug – one of the world’s top influencers in data analytics. He’s an expert in data and analytics strategy who advises CXOs and senior business leaders on data strategy, data monetization, data governance, and analytics best practices.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

MAY 2, 2022

Mason, highly skilled in using data to inform transformational changes in a business, will share insights about leading data projects as well as field questions in a live discussion with attendees. Travelers Senior Vice President and Chief Data and Analytics Officer Mano Mannoochahr will discuss creating a data-first culture.

Advertising 90

Advertising Data Governance Insurance Strategy 90

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. But it all depends upon a solid, trusted data foundation.

Internet of Things 88

Internet of Things Strategy Risk Data Strategy 88

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

IBM Big Data Hub

APRIL 25, 2023

This helps organizations drive a better return on their data strategy and analytics investments while also helping to deliver better data governance and security.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Corinium

NOVEMBER 24, 2019

Joining us at the Data and Analytics in Healthcare (4-5 March | Melbourne), we are pleased to welcome Day Manuet, Data Analyst – Analytics at Epworth HealthCare.

Analytics 195

Analytics Data Analytics Data Strategy Data Governance 195

Laminar Security

AUGUST 21, 2023

In this blog, we will delve into the key insights from the report and emphasize the significance of DSPM in shaping the data security industry. The Shifting Data Security Landscape Cloud service providers (CSPs) have revolutionized data analytics and data pipelines, presenting data security teams with novel challenges.

Management 40

Management Risk Unstructured Data Data Strategy 40

Smart Data Collective

DECEMBER 21, 2022

That’s why data cleansing is so important – it’s the process of making sure your data is clean, complete, and consistent before you use it for anything critical. Here’s a closer look at what data cleansing entails, and why it’s essential for any business that relies on data analytics.

Business Analytics 110

Business Analytics Analytics Data Quality Big Data 110

CIO Business Intelligence

NOVEMBER 21, 2023

Eileen Vidrine: Including artificial intelligence within my role and office was a natural progression in fulfilling the mandate of strengthening and modernizing the Department of the Air Force’s data strategy and capabilities. One central area where AI is expected to thrive is data analytics.

Strategy 115

Strategy Machine Learning Technology Data-driven 115

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. BRIDGEi2i Co-Founders, Pritam Kanti Paul and Prithvijit Roy, share anecdotes in a riveting discussion with Samir Sharma on his popular podcast, The Data Strategy Show.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

APRIL 24, 2023

In 2022, we announced that you can enforce fine-grained access control policies using AWS Lake Formation and query data stored in any supported file format using table formats such as Apache Iceberg , Apache Hudi, and more using Amazon Athena queries. Define Lake Formation policies For data governance, we use Lake Formation.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Data Management. Most of these are accumulated in data silos or data lakes.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

APRIL 6, 2023

This new regulation applies to any “automated employment tool;” so, any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence, including homegrown and third-party programs.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

CIO Business Intelligence

MARCH 29, 2022

This disconnect between data producers and data consumers leads to a classic type of data waste in the sense of missed opportunity or unnecessary effort and expense required to track down data. . Reducing data waste. How can you address the issues listed above in order to reduce data waste?

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Hurwitz & Associates

JUNE 28, 2018

This approach “opens up” analytics for use by the entire business – breaking down data silos that have grown up inside enterprise data centers. CDOs are responsible for ensuring that data is accurate, governed and managed, and they are increasingly tasked with leading the analytics efforts across their organization.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

TDAN

NOVEMBER 3, 2020

In the September issue of TDAN.com, Anthony Algmin denounced Data Catalogs as a “1980’s solution to a 2020’s problem.” What is the state of data science today? As I state in my book, The Data Catalog: Sherlock Holmes Sleuthing for Data Analytics and in many articles, 80% (or more) of a data analyst’s […].

Data Science 59

Data Science Data Analytics Analytics Data Quality 59

TDAN

FEBRUARY 5, 2020

Has there ever been a time where more people were talking about data and writing about data than now, as 2020 and a new decade begins? Data analytics is hot. Every company wants to be data driven and every business and individual is […]. It was the best of times. It was the worst of times.

Data-driven 61

Data-driven Data Analytics Analytics IT 61

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? Understand the root cause of your biggest data challenges. Execute data projects that deliver measurable results and ROI.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 133

Consulting Strategy Data Strategy Data Governance 133

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 87

Optimization B2B Data Quality Sales 87