Cloudera

FEBRUARY 22, 2021

The valuation framework consists of four dimensions: 1) business value acceleration, 2) technology cost reduction and / or avoidance, 3) infrastructure cost optimization and 4) operational efficiency. Infrastructure cost optimization. reduce technology costs, accelerate organic growth initiatives). Business value acceleration.

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 136

Management Advertising Data Lake Sales 136

CIO Business Intelligence

SEPTEMBER 22, 2023

Deploying a DMP can be a great way for companies to navigate a business world dominated by data, and these platforms have become the lifeblood of digital marketing today. In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 96

Management Advertising Data Lake Sales 96

AWS Big Data

OCTOBER 20, 2023

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. Many customers ensure that their internal DNS applications are not publicly resolvable.

Data Processing 87

Data Processing Snapshot Data Warehouse Management 87

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness.

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

Jet Global

APRIL 30, 2024

Therefore, the way the embedded analytics application is hosted plays a vital role. Secure hosting ensures the data connector remains protected, minimizing the risk of unauthorized access to your sensitive information. Managed Cloud : In this setup, the analytics vendor manages the server hosting on your behalf.

Analytics 52

Analytics Data Processing Dashboards Reporting 52

IBM Big Data Hub

MARCH 25, 2022

Nikita Shamgunov (Co-Founder of SingleStore) and I were seeing the signals in the market. One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. Co-developing with customers in gaming, banking and ridesharing.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

IBM Big Data Hub

SEPTEMBER 27, 2023

Legacy systems and architectures led to unsustainable costs of data ingestion, analysis, and storage, as well as performance issues when searching and analyzing threats across massive datasets. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 95

Cost-Benefit OLAP Dashboards Visualization 95

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. This new approach has proven to be much more effective, so it is a skill set that people must master to become data scientists. Where to Use Data Mining? Machine learning. Use Kaggle.

Data mining 143

Data mining Data Science Informatics Statistics 143

Jet Global

FEBRUARY 23, 2024

Data Integration Data integration is the process of connecting data from one system to another, such as when synchronizing customer data between marketing and sales platforms. ETL helps collect, optimize, and store data for better reporting and real-time analysis.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Cloudera

MARCH 22, 2022

The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets.

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

Occam's Razor

APRIL 25, 2011

and meet many many many executives and hear about their digital marketing strategies, challenges and outcomes. This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. But maybe the issue is that you (and the Marketers and Leaders. Yet there they are. We hate change.

Marketing 126

Marketing Measurement Metrics Testing 126

datapine

MAY 21, 2019

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Jet Global

OCTOBER 31, 2023

The latest Jet updates include a combination of techniques such as optimizing the query engine, reducing the number of database calls, caching data locally, and parallelizing the processing of multiple reports. These methods not only improve the performance of Jet Reports, but also reduce the load on your data sources and network.

Reporting 52

Reporting Data Processing Dashboards Optimization 52

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. In retail, it’s important to regularly track the sales volumes in order to optimize the overall performance of the online shop or physical stores.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

Jet Global

MAY 23, 2024

By fostering user satisfaction and utility, these features encourage continued engagement, reduce churn, and build a loyal user base—a critical factor for success in today’s saturated software market. Organic Advocacy: Happy users recommend the app, boosting brand awareness through organic word-of-mouth marketing.

Analytics 52

Analytics Reporting Software Dashboards 52

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Digging into quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. Why You Need Data Quality Control: Use Case.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. We love that data is moving permanently into the C-Suite. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Cloudera perspective: Data streams are part of a much broader data lifecycle.

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Streaming data analytics. . There it is.

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Laminar Security

MAY 3, 2023

They’re a byproduct of data democratization, a process through which business data has been made accessible to and by many teams across the organization for innovation and optimization. This accessibility of data is vital to business growth, but has also resulted in a significant increase in risk.

Management 52

Management Risk Risk Management Data Processing 52

Jet Global

JUNE 5, 2023

Tax teams of multinational enterprises (MNEs) face increasing challenges to manage business and market risks effectively while reporting, as well as the shift of resources within companies. By doing so, you’ll be able to optimize your tax technology and processes so you can both spot data insights and mitigate risk.

Reporting 52

Reporting Forecasting Software Finance 52

Cloudera

MAY 2, 2018

A Cloudera contingent, including Business Development, Marketing, Sales, and Software Engineering just got back from Qlik Qonnections in Orlando, Florida where the vibe to #DisruptEverything was strong! Global Technology Partner of the Year.

Analytics 44

Analytics Business Intelligence Data Science Data Processing 44

Jet Global

JUNE 22, 2023

But of course, an application marketed as either BI or BA could very well be capable of all four modes. You can also do prescriptive in Excel using the Solver,” says Langer, “to, for example, optimize a supply chain.” What they generally have in common are canned reports, which are premade expressly for the data set.

Analytics 52

Analytics Business Intelligence Reporting Sales 52

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Occam's Razor

SEPTEMBER 9, 2013

I'm so excited about this because we can finally focus on people, multiple visits by the same person, the multiple media/marketing touch points for the same person and do some pretty cool cohort analysis. Big difference to your analysis/marketing/smartness, right? The ability to segment Visitors, and not just Visits or Hits!

Analytics 145

Analytics Metrics Marketing Reporting 145

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

FEBRUARY 8, 2022

The challenge of centralized data ownership comes down to lack of depth and breadth of expertise. When the central team lacks the expertise of, say, a marketing function — yet are tasked with serving up marketing data — the quality of that data becomes suspect, and distrust in that data is likely to become a problem.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. How does CDO overlap with Market Research functions? Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

DECEMBER 3, 2008

This role in the vendor world you get to go to various clients and show off cool detailed stuff that your VP of Marketing consistently screwed up so far and answer technical questions from wise guys. And still rare but sometimes: Manager, Web Analytics Data Warehouse (Steven I did not forget you!). Manager, Website Analytics.

Analytics 115

Analytics Consulting Metrics Reporting 115