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

Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

Metadata 90

Metadata Management Data Governance Data-driven 90

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Data Governance 131

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 134

Consulting Data Strategy Data Governance Strategy 134

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. Both approaches aim to improve data quality and enable accurate analysis.

Data Quality 105

Data Quality Data Warehouse Data-driven Reporting 105

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 130

Business Analytics Analytics Data Quality Big Data 130

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 52

Big Data Data Analytics Management Analytics 52

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? However, about 50% of those surveyed also admit that they do not assess, monitor, or measure their data governance systems. Lack of focus on the right areas.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

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

CIO Business Intelligence

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

CIO Business Intelligence

SEPTEMBER 24, 2024

With generative AI requiring organizations to re-evaluate their data strategies, CDAOs and chief data officers need to step up as leaders and demonstrate business value beyond their standard data management and governance functions, Gartner advises. “To Nobody wants to worry about their sewer until they get a leak.”

Data Governance 115

Data Governance Risk Management Risk Data Quality 115

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 98

Optimization B2B Data Quality Sales 98

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Implement data privacy policies. Implement data quality by data type and source.

Data Governance 122

Data Governance Unstructured Data Metadata Data Lake 122

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. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

AUGUST 21, 2019

Many of its competitors are looking for consumer applications in big data, but Sisense has found ways to monetize the commercial needs of big data. Forrester recently named them as a leader in BI data analytics solutions. Companies Need to Understand the importance of choosing the right big data management provider.

Data Science 87

Data Science Big Data Data Strategy Risk 87

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

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” Poor data quality leads to poor decisions and recommendations.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

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 104

Internet of Things Strategy Data Strategy Data-driven 104

Cloudera

JUNE 13, 2024

This includes running analytics at the edge, supporting multi-cloud environments, treating Apache Iceberg as a first-class citizen, and introducing many more innovations like data observability. The Future of Enterprise AI, Delivered Today If the Big Data era was this century’s gold rush, then AI is the next moon shot.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Quality is job one.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

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. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

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). He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

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

AWS Big Data

SEPTEMBER 12, 2024

EMEA Data & AI PSA, based in Madrid. He has previously worked on research related to Data Analytics and Artificial Intelligence in diverse European research projects. In his current role, Angel helps partners develop businesses centered on Data and AI. Tiziano Curci is a Manager, EMEA Data & AI PDS at AWS.

Management 100

Management Analytics Data Lake Interactive 100

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 59

Analytics Predictive Modeling KPI Machine Learning 59

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

MARCH 29, 2022

And the problem is not just a matter of too many copies of data. Approximately duplicated data sets may introduce uncertainty about data quality. Near duplicates immediately raise the question of which is authoritative and why there are differences, and that leads to mistrust about data quality. .

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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

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

IBM Big Data Hub

JANUARY 25, 2023

Any use of data – such as combining or consolidating datasets from multiple sources – requires a level of understanding of that data beyond the physical formats. Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment.

Data Governance 52

Data Governance Data-driven Strategy Data Architecture 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

TDAN

MARCH 3, 2020

In most of our organizations we have people doing data analysis all over the place. From very technical SQL queries and cubes to the more mundane spreadsheet-based number crunching, we have no shortage of data activity going on. It would be too easy to say that the reason organizations fail to fully capitalize on this […].

Data Quality 71

Data Quality IT Data Governance Data Strategy 71

Grooper

AUGUST 19, 2019

Although data is the foundation and lifeblood of ML and data science, creating a data strategy that is focused on both data quality and business outcomes is critical. From here on out, I’ll refer to ML and data science as just AI. Prepare for New Data Initiatives by Understanding: Machine learning.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 104

Metadata Data Governance Data Quality Data-driven 104

AWS Big Data

FEBRUARY 27, 2024

Governance and self-service – The Bluestone Data Platform provides a governed, curated, and self-service avenue for all data use cases. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies. Ben Vengerovsky is a Data Platform Product Manager at Bluestone.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111