Smart Data Collective

APRIL 8, 2020

Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes. Demands from business decision makers for real-time data access is also seeing an unprecedented rise at present, in order to facilitate well-informed, educated business decisions.

Data Warehouse 361

Data Warehouse Big Data Data Mining Business Intelligence 361

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Data Quality Data Governance Artificial Intelligence 147

Dataversity

JANUARY 25, 2023

The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

Dataversity

OCTOBER 28, 2022

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. The post Developing Agile Data Warehouse Architecture Using Automation appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Agile Data Architecture Business Intelligence 130

Smart Data Collective

JUNE 15, 2021

How companies gather, manage and control data has undeniably become one of the most important aspects of business success today. It’s also possible to employ extra caching or materialized views in the data warehouse in addition to caching in Looker (depending on the capability of your data warehouse). Final word.

Data Warehouse 317

Data Warehouse User Experience Big Data 317

Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Each business often uses one or more data […].

Data Warehouse 130

Data Warehouse Data Governance Data Modelling Data Quality 130

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

Data Management 340

Data Management Data Mining Data Warehouse Data Modelling 340

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. Data Warehouse.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

Smart Data Collective

OCTOBER 17, 2022

Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage. Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage.

Data Warehouse 363

Data Warehouse Big Data Procurement Data Visualization 363

Dataversity

MARCH 10, 2023

Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […] The post A Powerful Pair: Modern Data Warehouses and Machine Learning appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Artificial Intelligence Predictive Analytics Data Architecture 130

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Smart Data Collective

MAY 31, 2022

Data activation is a new and exciting way that businesses can think of their data. It’s more than just data that provides the information necessary to make wise, data-driven decisions. It’s more than just allowing access to data warehouses that were becoming dangerously close to data silos.

Data Warehouse 355

Data Warehouse Big Data Customer Experience Customer Experience 355

Dataversity

APRIL 21, 2022

SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […].

Data Warehouse 130

Data Warehouse Data Architecture 130

Simplilearn

OCTOBER 6, 2021

Access to relevant customer and industry information is the primary competitive advantage businesses have over their direct and indirect competitors today. That’s where data warehousing comes in. Data warehouses are central repo. Read More.

Data Warehouse 290

Data Warehouse 290

Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

Data Warehouse 246

Data Warehouse Visualization Data Architecture Business Intelligence 246

Dataversity

MAY 6, 2022

An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].

Digital 246

Digital Data Warehouse Customer Experience Customer Experience 246

Insight Software

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Documentation Business Intelligence Business Intelligence 98

Smart Data Collective

JULY 9, 2023

By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. ETL is a three-step process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target database or data warehouse.

Data Warehouse 264

Data Warehouse Data Quality Data Analytics Data Analytics 264

Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

Data Governance 278

Data Governance Government Data Warehouse Data Quality 278

Smart Data Collective

OCTOBER 13, 2021

In the era of Big Data, the Web, the Cloud and the huge explosion in data volume and diversity, companies cannot afford to store and replicate all the information they need for their business. Data Virtualization allows accessing them from a single point, replicating them only when strictly necessary.

Data Visualization 363

Data Visualization Visualization Big Data Artificial Intelligence 363

Timo Elliott

JANUARY 3, 2022

Opportunities for key insights are often buried in a vast universe of dormant information known as “dark data.”. It’s easy to collect information, but it’s hard to turn it into insights. Vast swathes of information are generated every day – everything from corporate financial figures to teenage social media videos.

Data Quality 359

Data Quality Data Warehouse Innovation Planning 359

Dataversity

SEPTEMBER 20, 2024

However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured.

Data Warehouse 243

Data Warehouse Data Management Data Architecture 243

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. Preserve information: Keep your raw data raw.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports.

Business Intelligence 273

Business Intelligence Business Intelligence Data Warehouse Documentation 273

Timo Elliott

JANUARY 6, 2022

The point of finding your dark data is to generate insight from it. To this end, SAP offers a wide range of tools that support the following capabilities: Data orchestration. Information landscapes are complex. With the SAP HANA Cloud database, you can ingest live data in real time where it lives. Data sense-making.

Chief Data Officer 338

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 338

Timo Elliott

MAY 27, 2022

And the best way to do that is to embed data, analytics, and decisions into business workflows. That can be as simply as just making sure that you provide the information people need for a decision just before they make it. And there’s been a big change in technology that is supporting all this.

Data Analytics 311

Data Analytics Data Analytics Data Warehouse Innovation 311

BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 183

Data Warehouse Business Intelligence Business Intelligence Planning 183

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.

Data Management 249

Data Management Data Warehouse Master Data Management Digital Transformation 249

Smart Data Collective

JUNE 16, 2022

The data is processed and modified after it has been extracted. Data is fed into an Analytical server (or OLAP cube), which calculates information ahead of time for later analysis. A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on.

Data Warehouse 348

Data Warehouse Data Modelling Monitoring Business Intelligence 348

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. Analysis of data is limited to certain elements with Excel. MySQL as Backend Database.

Visualization 246

Visualization Data Warehouse Business Intelligence Business Intelligence 246

Smart Data Collective

NOVEMBER 18, 2020

Definition: Data Mining vs Data Science. Data mining is an automated data search based on the analysis of huge amounts of information. Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data Mining is an important research process.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. This information, when used effectively can enhance the casino’s performance.

Data Warehouse 188

Data Warehouse 188

Timo Elliott

OCTOBER 3, 2019

Inevitably this means that the audiences had lots of questions and many of the sessions were about the transition roadmaps, giving them detailed information on how and when they might consider moving to the newer platforms. For example, the SAP data warehouse solutions include predefined schemas and content for different business areas.

Data Warehouse 174

Data Warehouse Digital Transformation Innovation Digital 174