CIO Business Intelligence

JANUARY 7, 2025

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

Smart Data Collective

OCTOBER 20, 2020

Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. For this reason, it’s important to make sure to keep your database clean so you can work on accurate data sets. More importantly, you need to cleanse your SQL server of old code.

Big Data 130

Big Data Data Strategy Strategy Cost-Benefit 130

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

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 94

Metadata Data Governance Data Quality Data-driven 94

Cloudera

NOVEMBER 13, 2024

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. This guarantees data quality and automates the laborious, manual processes required to maintain data reliability.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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. An enterprise data ecosystem architected to optimize data flowing in both directions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI Data prep matters, except… In areas such as supply chain and analytics, having all of your data in a form readily available to an AI model is essential.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

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

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 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.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

CIO Business Intelligence

MAY 2, 2023

Companies that leverage high-quality data, center their enterprise around responsible risk-taking, and organize around products are the most likely to experience profitable growth from their digital transformation journey,” says Anant Adya, EVP of Infosys Cobalt.

Digital Transformation 141

Digital Transformation IT Data-driven Data Quality 141

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

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

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

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 Strategy Data Governance 134

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. The composer creates and sells the storyline of the value of data and analytics. To get there, though, Medeiros says CDAOs must prioritize strategy over tactics.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. It also helps you fix data quality problems so that you can separate the signal from the noise.

IT 135

IT Metadata Data-driven Data Governance 135

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. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 110

Data Governance Unstructured Data Metadata Data Lake 110

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? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

erwin

DECEMBER 9, 2024

But how can delivering an intelligent data foundation specifically increase your successful outcomes of AI models? And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them? And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Build your data strategy around the convergence of software and hardware. Build your data strategy around relevant data, not last years data because it’s easy to access.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

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

CIO Business Intelligence

APRIL 6, 2022

Why are enterprises shifting to the cloud? A real-time data pattern guides architects, data engineers, and developers in change management. Reducing barriers to data access and complexity facilitates innovation with data. Complexity is the nemesis of data quality, trust and business speed.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

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

Anmut

APRIL 6, 2021

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Yet, what is enterprise digital transformation for if not to become data-driven? Why data assets matter .

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

bridgei2i

JUNE 23, 2021

4 Key Elements of Enterprise AI Strategy. Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. Enterprise AI automates the end-to-end journey from data to value. The AI maturity level of each organization differs. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator Digital Transformation 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Why Do You Need an Enterprise Analytics Strategy?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Cloudera

JUNE 13, 2024

That investment and support have resulted in the first true hybrid platform for data, analytics, and AI, backed by a seasoned and proven leadership team, with a go-to-market strategy focused on ensuring our customers’ success in the future of Enterprise AI.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. From establishing an enterprise-wide data inventory and improving data discoverability, to enabling decentralized data sharing and governance, Amazon DataZone has been a game changer for HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

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

Smart Data Collective

AUGUST 21, 2019

We combine tech with humans to provide scaled high-quality data,” founder, Nathaniel Gates told Austin Bulletin. Sisense is a company that is looking for more inventive ways to utilize data for enterprise products. Forrester recently named them as a leader in BI data analytics solutions.

Data Science 86

Data Science Big Data Data Strategy Risk 86

TDAN

FEBRUARY 16, 2022

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely.

Enterprise 145

Enterprise Data Quality Metadata Data Governance 145

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52