CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Consider organizations such as Facebook and Google.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. Faster Business Turnaround. Compliance and Auditability.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Alation

NOVEMBER 2, 2022

Alation has raised $123M in Series E funding at a valuation of in excess of $1.7B, a material increase from the Series D round in June of last year, particularly in the context of the recent stock-market decline. So why invest now, and in this turbulent market? Sands sees that market need as a major product opportunity.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 86

Data Architecture Risk Management Risk Management 86

CIO Business Intelligence

FEBRUARY 20, 2023

Benefits of Salesforce certifications Salesforce jobs range from the technical (architects, developers, implementation experts) to those related to marketing and sales. Following is an up-to-date guide on certifications that Salesforce offers to help you earn a competitive edge leading to new opportunities.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Competition plays harder, and every day, new business models and alternatives driven by data and digitalization surface in almost every industry.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Cloudera

SEPTEMBER 6, 2022

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . The type of data structures that are being deployed, however, don’t look like those that we’ve seen in the past. . Previously, there were three types of data structures in telco:

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

TDAN

APRIL 19, 2022

Data Science program maturity and processes enablement is one of the reasons why we see solutions like asset allocation, campaign management, agent effectiveness, customer churn, price forecasting and predictive equipment maintenance as some recent go to market “data products or data services”.

Management 59

Management Enterprise Forecasting Data-driven 59

IBM Big Data Hub

SEPTEMBER 7, 2022

Data is high on the C-Suite’s agenda and making a real difference in performance marketing, customer experience, product design and operations—so there is never-before-seen pressure on data leaders to deliver outcomes. Do you accept that data science takes a slight back seat while you improve the data quality?

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

Cloudera

MAY 14, 2024

More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Meaningful results, and a scalable, flexible data architecture demand a ‘true’ hybrid cloud approach to data management.

Data Architecture 84

Data Architecture Data Governance Unstructured Data Structured Data 84

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 Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 83

Insurance Risk Data-driven Finance 83

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Cloudera

OCTOBER 1, 2022

Adam Wood, director of data governance and data quality at a financial services institution (FSI). As countries introduce privacy laws, similar to the European Union’s General Data Protection Regulation (GDPR), the way organizations obtain, store, and use data will be under increasing legal scrutiny.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Smart Data Collective

FEBRUARY 23, 2021

Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? Ignoring Data Quality.

Big Data 117

Big Data Visualization Data Quality Data-driven 117

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. What you have to do as a CIO is take an architectural approach and invest in a common platform.” We thought the pace would slow down but it’s not.

IT 132

IT Consulting Modeling Enterprise 132

Ontotext

JANUARY 10, 2024

Often, an enterprise starts with one thing it does well and then adds more business lines to expand the market. This requires new tools and new systems, which results in diverse and siloed data. To implement a data fabric pattern, on the other hand, we need data management tools for data integration, data quality, and data governance.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Alation

JULY 28, 2022

And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? Data quality /wrangling. Ability to move out/costs of data egress.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Alation

JANUARY 25, 2022

The data catalog is a foundational layer of the data fabric. This zoomed-in version has references to corresponding vendor markets removed.). Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. Alation Data Catalog for the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

Andrew White

JANUARY 9, 2022

What is a Market? . How important is the role of the citizen data scientist, and what recommendations do you have for organizations looking to augment their data science teams by developing analysts and domain experts into this role? For example, you don’t and can’t hire a citizen data scientist or any citizen role.

Analytics 64

Analytics Measurement Modeling Data-driven 64

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. It alerts data and analytics leaders to issues with their data before they multiply.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This lets users across the organization treat the data like a product with widespread access.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Cloudera

JULY 20, 2021

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. But what would you say to your shareholders when they found out your competitors’ market capitalization grew 35%?

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

AWS Big Data

FEBRUARY 27, 2024

To stay competitive and responsive to changing market dynamics, they decided to modernize their infrastructure. This enables data-driven decision-making across the organization. Governance and self-service – The Bluestone Data Platform provides a governed, curated, and self-service avenue for all data use cases.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

CIO Business Intelligence

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

BI-Survey

FEBRUARY 6, 2020

Although a common data model consisting of aligned structures and measures is needed for consistency and governance , it will not grant business departments the freedom required to efficiently analyze and interpret data. Data management has always been a challenge for companies. BARC Recommendation.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Alation

OCTOBER 12, 2021

What new market opportunities exist? 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. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52