AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China). Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. What are WebSockets and why do we need them?

Analytics 58

Analytics Data-driven Management Reporting 58

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is also the point where data quality rules should be reviewed again.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

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. ML can keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). WM saves time and reduces risks during upgrades or migrations. BI Interactive Reports or Dashboards. Report Format.

Management 73

Management Data Warehouse Interactive Reporting 73

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 87

Risk Data Lake Marketing Interactive 87

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 94

Cost-Benefit OLAP Dashboards Visualization 94

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. Upcoming Events.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most.

Slice and Dice 119

Slice and Dice Scorecard Metrics Visualization 119

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Smart Data Collective

FEBRUARY 20, 2022

The first step in building these defenses is to understand how users, administrators, or applications interact with a database. Before dwelling on the functionality of DAM solutions, let’s touch upon how they interact with databases that come with tools of their own for access auditing. DAM features. There are different opinions.

Behavioral Analytics 116

Behavioral Analytics Risk Machine Learning Interactive 116

Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

Data Warehouse 52

Data Warehouse Data Lake Risk Data-driven 52

Cloudera

OCTOBER 26, 2020

The validation of both solutions functioning as intended will benefit our joint customers with better support, reduced risk, and lower total cost of ownership (TCO). . Better performance for fast changing / updateable data. Better fit for Data Mart migration use cases (interactive, BI style queries). Encryption.

Testing 87

Testing Cost-Benefit Unstructured Data Big Data 87

Jet Global

JULY 29, 2020

There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Interactive dashboards that provide reports with a rich variety of visualization tools. View Solutions Now.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Sisense

FEBRUARY 16, 2021

The primary aim when building a model is to transform complex, raw, real-world data into a coherent picture that can be used to answer likely questions from the business. . Designers, engineers, and analysts see data in different ways. Data warehouses have become intensely important in the modern business world.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Alation

APRIL 14, 2022

Supports the ability to interact with the actual data and perform analysis on it. This provides the facility a time or event for a job to run and offers useful post-run information. Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Visual Profiling. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

MAY 16, 2018

This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system. Going Forward: Improved Economics.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Domino Data Lab

FEBRUARY 4, 2019

Hotel staff had to nudge people out of the hall, long after that event was supposed to close. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JULY 2, 2019

Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” Upcoming events. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. Samsung may have an opinion on this after their experience.

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74

IBM Big Data Hub

AUGUST 3, 2023

Having access of data expanded to a large group of people has many benefits but also serves as a security concern because it means that there is more room for human error or risk of potential data breaches, since everyone within the company may not be well versed in data security best practices.

Cost-Benefit 57

Cost-Benefit Risk Enterprise Reporting 57

Cloudera

APRIL 1, 2024

It unifies structured data with unstructured data giving a holistic view of the business and enhancing the efficacy of AI by providing it with more structured and accessible business data as context. At Cloudera, we are embedding AI in all our products to improve productivity of data professionals.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Data Migration. Privacy, Risk and Compliance. Let’s take a closer look at the role of DI in the use case of data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Chatflows ensure every interaction is personal and relevant, transforming data queries into engaging conversations.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

SEPTEMBER 27, 2023

Manual data exports dramatically increase the risk of error, and often the analysis is out of date by the time it reaches your stakeholders. As the volume of data captured increases, so does the challenge of accessing data and presenting it in a way that business leaders can easily understand and interact with.

Dashboards 52

Dashboards Reporting Operational Reporting Finance 52

Jet Global

JULY 1, 2022

They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks. For many companies, SAP data can be a lighthouse in the storm, helping overloaded employees navigate strained supply chains. But there is the potential for “pollution” in transactional SAP data.

Operational Reporting 98

Operational Reporting Reporting Finance Dashboards 98

Jet Global

SEPTEMBER 26, 2023

By knowing that data has undergone thorough cleansing and validation processes, users are more likely to trust and rely on it for their financial analysis and decision-making, reducing the risk of errors and misstatements in the process. Angles can help cleanse company SAP data.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

SEPTEMBER 1, 2023

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

NOVEMBER 16, 2022

risk and compliance management. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. Board management software eliminates the risk of errors in your data that can affect the big picture.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94