CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures. And, the data catalog market has had a year of incredible growth.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. CCPA Compliance Requirements vs. Publicly available personal information (federal, state and local government records). Data Governance for Regulatory Compliance.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Ontotext

FEBRUARY 12, 2024

As discussed in part one, the data mesh paradigm is still a relatively new concept with implementations in the early stages. Most enterprises have years of legacy systems, processes, and practices that make it more demanding to quickly jump onto the data mesh bandwagon.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

MARCH 23, 2022

While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. The Benefits of Enterprise Transformation . The benefits organizations can expect to receive from leveraging technology for enterprise transformation include: . Look Up, Frequently .

Technology 92

Technology IoT Internet of Things Data-driven 92

Alation

JULY 15, 2022

New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Infrastructure.

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

bridgei2i

MARCH 11, 2021

Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. As long as small businesses don’t have efficient data governance strategies, they can’t properly use AI and ML-powered tools. What is a Data Governance Strategy? They have access to large amounts of data.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Ontotext

NOVEMBER 16, 2023

Clarifying what data mesh is and how it works is important, but even more so is starting with the why. Why Organizations Need A Data Mesh The data mesh paradigm aims to address some of the biggest pain points for most organizations. This becomes particularly problematic when dealing with veracity of data.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Automation & Augmented Analytics.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Cloudera

SEPTEMBER 29, 2021

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

erwin

JULY 26, 2019

Enterprise architecture (EA) isn’t dead, you’re just using it wrong. I’ll let you in on a little secret: the rumor of enterprise architecture’s demise has been greatly exaggerated. However, the truth for many of today’s fast-moving businesses is that enterprise architecture fails. Don’t Put Enterprise Architecture in a Corner.

Digital Transformation 106

Digital Transformation Strategy Enterprise Business Intelligence 106

Jet Global

MARCH 13, 2019

With business intelligence (BI) software playing an increasingly important role in the modern enterprise, the technology is poised for an oversized impact in the coming year. In this post, we’ll look at emerging business intelligence trends, challenges and changes in the enterprise, and how BI software will address each.

Business Intelligence 85

Business Intelligence Data Science Software Enterprise 85

TDAN

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Data Governance 69

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 136

Management Internet of Things Statistics Data-driven 136

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 85

Manufacturing Business Objectives Cost-Benefit Optimization 85

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. Employee sentiment risks.

Risk 144

Risk Consulting Machine Learning Data Science 144

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 94

IT Manufacturing Business Objectives Cost-Benefit 94

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

O'Reilly on Data

MARCH 18, 2020

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Data governance isn’t yet a priority. There’s a lot to bite into here, so let’s get started.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

Alation

JUNE 16, 2021

Alation … [offers a] dedicated data catalog… while others include this functionality as a part of a broader (e.g., Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Data governance is a growing focus. business intelligence) solution.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it.

IoT 54

IoT Modeling Metrics Measurement 54

Jet Global

SEPTEMBER 29, 2021

Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Although ensuring data collection is accurate and reliable is important, leveraging data for strategic decision-making is essential. Make data accessible to all employees who need it to make decisions. Avoid “Vanity Metrics’.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

erwin

JUNE 11, 2020

Just as technology evolves, how businesses embrace and incorporate data intelligence will also evolve. Below are several of the major trends going forward with Data Intelligence. Real-time enterprise is the market. More businesses employing data intelligence will be incorporating blockchain to support its processes.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

SEPTEMBER 27, 2022

AI model governance introduces technology to implement guardrails at each stage of the AI/ML lifecycle. This includes data collection, instrumenting processes and transparent reporting to make needed information available for all the stakeholders. Sometimes an organization’s need is more tied to organizational AI governance.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

MARCH 29, 2022

Organizations may acquire a lot of data, but they aren’t getting much value from it. It is estimated that nearly 75% of the data that enterprises collect remains unused, and thus, the value is not realized. Fortunately, learning-based projects typically use data collected for other purposes. .

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Companies looking to do more with data and insights need an effective EDM setup in place. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

FineReport

MAY 31, 2023

On the right side of the dashboard, the balance sheet serves as the primary financial statement that captures the financial position of an enterprise, encompassing assets, liabilities, and owners’ equity, on a specific date. These indicators indirectly shed light on the enterprise’s operational conditions.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Alation

FEBRUARY 13, 2020

Benefits of a Data Catalog. What Does a Data Catalog Do? A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. Benefits of a Data Catalog. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 44

Data-driven Data Quality Risk Interactive 44