DataKitchen

JUNE 12, 2023

The DataOps Manifesto is a useful set of principles to guide your understanding of these powerful, grounded, industry-spanning ideas on improving technical team productivity, delivery quality, and cycle time in data analytics. So today, another fundamental idea needs to be defined and given the manifesto treatment: the Data Journey.

Testing 130

Testing Data Lake Dashboards Data Science 130

Laminar Security

JULY 19, 2023

Google BigQuery, a leading data warehouse solution, plays a pivotal role in enabling data scientists, developers, and innovators to derive maximum value from their data by analyzing customer purchase patterns, sales trends, and other critical metrics.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

bridgei2i

APRIL 28, 2020

And obviously, such times call for truly unprecedented measures. Since you’re one of the top global influencers in the world of data and analytics, we wanted to take a little bit of time today to talk to you and understand how data and analytics can really help in a crisis.To Doug Laney: My pleasure.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. Quality assurance measures play a pivotal role in validating the accuracy and relevance of data utilized by BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

Laminar Security

DECEMBER 13, 2023

Deep learning, a subset of machine learning, involves training neural networks on large amounts of data and then using these networks to make predictions or decisions. Another trend is the increasing integration of AI with other technologies such as cloud computing and big data analytics.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

DECEMBER 21, 2022

That’s why data cleansing is so important – it’s the process of making sure your data is clean, complete, and consistent before you use it for anything critical. Here’s a closer look at what data cleansing entails, and why it’s essential for any business that relies on data analytics.

Business Analytics 110

Business Analytics Analytics Data Quality Big Data 110

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Taking an inventory of existing data assets and mapping current data flows. Deciding on KPIs to gauge a data architecture’s effectiveness.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

CIO Business Intelligence

DECEMBER 28, 2022

With each new generation of the sophisticated applications companies have come to depend on—applications, such as machine learning and data analytics—compute requirements soar to new heights. Data Governance, Green IT, IT Governance. In the short term there will be cascading errors and double counting.

Reporting 119

Reporting Consulting Manufacturing Software 119

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. Download Whitepaper. We bring to you glimpses of how people and organizations around the world are using AI to meet the UN Sustainable Development Goals.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

Smarten

AUGUST 17, 2018

Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business. But, how do you begin to understand the implications of these changes?

Analytics 40

Analytics Measurement Data-driven Optimization 40

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? Identify which data is most valuable to your business and prioritise data investment accordingly. Let’s Talk.

ROI 52

ROI Measurement Data-driven Data Transformation 52

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. The majority of the data a business has stored is generally unstructured.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every company has been generating data for a while now. And it can do the same for you.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

AWS Big Data

DECEMBER 19, 2023

Scalability – With this Redshift data share enabled architecture, the Sun King data team was able to bring back an acceptable performance to its users, leading to renewed engagement , measured with the doubling of the number of monthly queries over the following few month, thus increasing adoption of Amazon Redshift across the company.

Data Analytics 64

Data Analytics Analytics Data Warehouse Data-driven 64

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. Data analytics powered by AI has created a wealth of business opportunity.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk. Governance 101.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Alation

APRIL 14, 2022

This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. The Cloud Data Migration Challenge. Data Governance and Data Security.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

datapine

MARCH 25, 2019

This is one of the most important data analytics techniques as it will shape the very foundations of your success. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Harvest your data. Build a data management roadmap. Harvest your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

CIO Business Intelligence

MARCH 31, 2022

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 Strategy Data Strategy Data Governance 134

Cloudera

MARCH 17, 2022

The Value of Public Sector Data. Governments are viewed as critical data providers in the digital world. The consulting firm McKinsey has previously reported that governments are integral players in helping to realize a $3 trillion open-data opportunity for the private sector and society at large.

IoT 81

IoT Cost-Benefit Data-driven Data Strategy 81

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. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

MAY 30, 2023

Today’s focus on these initiatives is more about optimizing the use of technologies to deliver measurable value in those areas, rather than just delivering the technologies themselves. Analytics is the No. It’s a shift in emphasis that makes all the difference. This is all about delivering business value.

IT 131

IT Risk Optimization Technology 131

datapine

DECEMBER 11, 2019

Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency. Is my data protected while the integration process is worked through?

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

Grooper

OCTOBER 23, 2019

By measuring performance, they drive improvements through necessary process and workflow changes. It simply takes the right resources and a measured approach to get there. Most companies today are more reactive to information governance. As Peter Drucker so famously said, “If you can’t measure it, you can’t improve it.”

Metrics 59

Metrics Measurement Strategy Optimization 59

Smarten

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51