IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management.

Strategy 103

Strategy Technology Cost-Benefit Risk Management 103

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 77

Strategy Business Objectives Cost-Benefit Consulting 77

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 The second best time is now.”

Strategy 114

Strategy Management Key Performance Indicator ROI 114

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Anmut

JULY 12, 2021

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

IBM Big Data Hub

APRIL 10, 2023

Data fabric can help model, integrate and query data sources, build data pipelines, integrate data in near real-time, and run AI-driven applications. In conclusion Many successful organizations have long depended on fact-based, consistent, unified data to drive growth, manage costs, and optimize resource allocation.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

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

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Just-in-Time” manufacturing increases production while optimizing resources.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

FEBRUARY 14, 2023

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back. However, a data execution strategy has to evolve for real-time AI to scale with speed.

Data Strategy 114

Data Strategy Strategy Machine Learning Data-driven 114

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Data Lake 132

Data Lake Consulting Uncertainty Risk 132

Timo Elliott

MAY 19, 2023

With a workforce of approximately 33,900 employees, the company faced challenges managing data across its divisions, which led to inefficiencies and sub-optimal data hygiene. The need for a unified data system was pressing, and the journey to a data-driven culture started in 2017. It’s always about people!

Data-driven 98

Data-driven Digital Transformation Data Quality Optimization 98

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. Organizations are still investing in data and analytics functions. CDAOs must have a talent strategy that doesn’t count on hiring data and analytics talent ready-made.”

Data-driven 144

Data-driven Data Quality Strategy Reporting 144

CIO Business Intelligence

APRIL 11, 2024

“Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner. For example, SAP platforms are frequently hosted on OCI, he says.

Enterprise 124

Enterprise IT Data Processing Strategy 124

FineReport

APRIL 9, 2024

Benefits of Utilizing BI Tools The utilization of data analysis tools such as business intelligence software offers numerous benefits for organizations seeking to gain a competitive edge in today’s dynamic market landscape. This results in optimized resource utilization and cost efficiencies while enhancing overall productivity.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Octopai

MAY 15, 2023

Here are some common cost areas where data lineage can be beneficial: Infrastructure and storage costs: Data lineage allows organizations to understand data usage patterns, access frequencies, and data dependencies. Data quality costs: Poor data quality can result in significant costs for organizations.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

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 92

Unstructured Data Digital Transformation Data Strategy Modeling 92

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

IBM Big Data Hub

JANUARY 15, 2024

The office sought a practical solution for process optimization and automation to address the aforementioned issues. While optimizing management mechanisms for cost reduction, efficiency enhancement, and risk mitigation. With goal of achieving cross-departmental and cross-system business process collaboration to reshape and optimize.

Digital Transformation 73

Digital Transformation Insurance Optimization ROI 73

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. Ready to evolve your analytics strategy or improve your data quality?

Data-driven 98

Data-driven Analytics Machine Learning Optimization 98

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Align your AI strategy with your business strategy.

Enterprise 133

Enterprise Cost-Benefit Forecasting Strategy 133

CIO Business Intelligence

JUNE 1, 2022

For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. A Competitive Differentiator.

Manufacturing 110

Manufacturing Digital Transformation Predictive Analytics Strategy 110

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 90

Internet of Things Strategy Data Strategy Risk 90

CIO Business Intelligence

APRIL 11, 2022

strategy, which will focus even more on enhancing customer service on the city’s digital infrastructure. And it saves money for the City services as garbage collection rounds can be optimized. Ready to evolve your analytics strategy or improve your data quality? Doral is already preparing a Smart City 2.0

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Timo Elliott

JANUARY 3, 2022

Improving data quality. Unexamined and unused data is often of poor quality. Today’s data quality solutions, augmented by machine learning capabilities, can help sift through the noise, identify the patterns of bad data quality, and help fix the problem. Data augmentation.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

CIO Business Intelligence

MARCH 14, 2022

Thus, the storage architecture can be optimized for performance and scale. In addition, Aerospike’s “shared nothing” architecture supports algorithmic cluster management combined with global cross-data center replication to support complex filtering, dynamic routing, and self-healing capabilities. Just starting out with analytics?

Data Processing 115

Data Processing Optimization Deep Learning Software 115

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. We will explore key areas of acceleration with an example in this article.

Cost-Benefit 97

Cost-Benefit Testing Data-driven Enterprise 97

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

APRIL 25, 2022

In addition, “Of the 31% with AI in production, only one third claim to have reached a mature state of adoption wherein the entire organization benefits from an enterprise-wide AI strategy.”. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Machine Learning 131

Machine Learning Enterprise Deep Learning Cost-Benefit 131

CIO Business Intelligence

APRIL 6, 2022

For example, on the front end, healthcare organizations can optimize secure access to clinical data to improve the level of care provided and reduce patient wait times. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

Digital Transformation 123

Digital Transformation Strategy Data-driven Data Strategy 123

CIO Business Intelligence

JUNE 2, 2022

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Machine Learning 139

Machine Learning Deep Learning Data Quality Strategy 139

CIO Business Intelligence

JUNE 1, 2022

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 95

Deep Learning Snapshot Optimization Data Quality 95

DataKitchen

MARCH 16, 2023

Under Efficiency, the Number of Data Product Owners metric measures the value of the business’s data products. Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms.

Metrics 130

Metrics Data Analytics Analytics Measurement 130