datapine

JANUARY 24, 2021

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

DECEMBER 4, 2024

Inspired by these global trends and driven by its own unique challenges, ANZ’s Institutional Division decided to pivot from viewing data as a byproduct of projects to treating it as a valuable product in its own right. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

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. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

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

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

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

APRIL 6, 2022

They’re trying to leverage the benefits of the private, hybrid, or public cloud. Lower total cost of ownership, scalable unit economics, multi-region reliability, digital transformation, faster delivery of applications, and machine learning models—these are all business benefits of cloud-native adoption. .

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

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

DataKitchen

JUNE 24, 2021

At Astrazeneca, Kurt Zimmer explained that data, “ provides a massive opportunity to drive all sorts of levers, such as to lower cost and to drive things like speed of execution, which has a tremendous impact on the ability to bring life-saving medicines to the marketplace.” Some of the numbers are pretty astounding.” .

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. Data strategy in a VUCA environment. Data in an uncertain environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. Data Value.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

AWS Big Data

AUGUST 1, 2024

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

CIO Business Intelligence

APRIL 4, 2024

The cost of implementing and running AI models can be quite high, so you have to be really careful in assessing the business worthiness of AI use cases,” he says. Production is another area that benefits from AI. “At Data is the lynchpin to AI success,” says Nafde. It’s a good accelerator in the beginning.” Diasio agrees.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

IBM Big Data Hub

FEBRUARY 9, 2023

Building a data governance program is an iterative and incremental process Step 1: Define your data strategy and data governance goals and objectives What are the business objectives and desired results for your organization?

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

Cloudera

SEPTEMBER 6, 2022

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges?

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Anmut

APRIL 6, 2023

That’s where data maturity assessments come in – they help businesses understand their current data maturity, and equip them with the tools and resources necessary to climb the data maturity curve. What is a Data Maturity Assessment? What are the Benefits of Doing a Data Maturity Assessment?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads. Users lower egress costs.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

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 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Alation

APRIL 12, 2022

Today, the modern CDO drives the data strategy for the entire organization. The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. List issues AI can address and the benefits to be gained. Choose projects based on identified practical needs.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

BI-Survey

SEPTEMBER 22, 2021

The main barriers to using analytics are a lack of resources such as time and personnel as well as costs and a lack of analytical literacy. Implementing analytics requires a mix of technology, education, strategy and internal marketing of the topic. Data literacy is seen by most as one of the biggest barriers to this.

Analytics 52

Analytics Cost-Benefit Machine Learning Measurement 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

CIO Business Intelligence

MARCH 29, 2022

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. This type of data waste results in missing out on the second project advantage.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Alation

NOVEMBER 11, 2021

This is mostly due to cost-saving and data sharing benefits. As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Data Quality Metrics. Data Lineage.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 98

Management Risk Measurement Optimization 98

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? What are your data and AI objectives?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

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. However, expectations are much higher and more diverse.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Alation

OCTOBER 12, 2021

Indeed a Microstrategy survey of business intelligence and data analytics professionals, The 2020 Global State of Enterprise Analytics , found that the most important foundational factor that executives at successful data-strategy enterprises cited was “the creation of an analytics strategy”. This foundation is critical.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Peter James Thomas

JUNE 3, 2019

The above infographic is the work of Management Consultants Oxbow Partners [1] and employs a novel taxonomy to categorise data teams. First up, I would of course agree with Oxbow Partners’ statement that: Organisation of data teams is a critical component of a successful Data Strategy.

Data Governance 45

Data Governance Cost-Benefit Insurance Data Quality 45

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Grooper

AUGUST 19, 2019

C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. The reason data literacy plays such an important role in choosing the right technology solutions is that it directly impacts the quality of the requirements list. Data science approaches.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54