Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Big Data 265

Big Data Data Analytics Data Analytics Data Modelling 265

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Data Warehouse 348

Data Warehouse Data Modelling Monitoring Business Intelligence 348

Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 264

Data Warehouse Data Quality Data Analytics Data Analytics 264

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52

Sisense

JANUARY 15, 2021

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. It’s no secret that data teams are becoming indispensable to organizations.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Data Mining 115

Data Mining Big Data Planning Data Modelling 115

Sisense

JANUARY 14, 2021

However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Sisense

JANUARY 6, 2021

Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Here are some of your options: Model: Blend big data from a variety of sources into Sisense machine learning algorithms. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

NOVEMBER 28, 2022

Data warehouses will play a crucial role in data management — perhaps more than ever. However, the pendulum swing towards utilizing unstructured data and supporting big data environments has added to the challenges of maintaining a centralized repository of accurate and complete data. Far from it!

Data Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 52

Sisense

FEBRUARY 24, 2021

Data space dimension: Traditional data vs. big data. This dimension focuses on what type of data the CDO has to wrangle. Traditional datasets are often relational data found at the core of transactional services and operations: Think of an accounting system or point-of-sale system that spans multiple locations.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. These include dimensional models and data vaults.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

APRIL 27, 2023

The modern data stack (MDS) is a collection of tools for data integration that enable organizations to collect, process, store and analyze data. Being based on a well-integrated cloud platform, modern data stack offers scalability, efficiency, and proficiency in data handling.

Data Warehouse 52

Data Warehouse Big Data Data Analytics Data Analytics 52

Data Pine

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. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

MAY 30, 2024

One MIT Sloan Review research revealed extensive data analytics helps organizations provide individualized recommendations, fostering loyal customer relationships. What Is Big Data Analytics? Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Insight Software

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Data Analytics Finance Visualization 52

Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. But unstructured data is no longer dark data, unavailable for analysis. are available in an unstructured format.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

JULY 3, 2024

This improved data management results in better operational efficiency for organizations, as teams have timely access to accurate data for daily activities and long-term planning. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

NOVEMBER 14, 2023

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals. Perhaps, the real value of this approach is seen in the business benefits organizations can yield with its implementation.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Astera

MAY 25, 2023

Finally, we’ll discuss why Astera Centerprise is the ultimate tool for managing your data regardless of which database you decide to use. PostgreSQL is an open-source database system that offers extensive data model flexibility. It allows users to have greater control when designing their data model for complex queries.

E-Commerce 52

E-Commerce Data Security Data Modelling Big Data 52

The BAWorld

MARCH 15, 2024

Thereby, learning visualization software such as Tableau can enhance your abilities as a data Analyst. This is the premier software used industry wide that enables you to display your analysis on dashboards, make data models, renderings and business intelligence reports.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

The BAWorld

APRIL 11, 2022

This credential demonstrates subject matter knowledge in using Microsoft Power BI to derive data insights and present them in easy-to-understand visualizations. This degree allows holders to develop scalable data models, clean and transform data, and enable sophisticated analytics. CCA Data Analyst.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

The BAWorld

APRIL 11, 2022

This credential demonstrates subject matter knowledge in using Microsoft Power BI to derive data insights and present them in easy-to-understand visualizations. This degree allows holders to develop scalable data models, clean and transform data, and enable sophisticated analytics. CCA Data Analyst.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

Astera

MARCH 7, 2024

Data now heavily impacts businesses at all levels, from everyday operations to strategic decisions. This growing role has driven the global business intelligence (BI) and analytics tools market to an estimated value of nearly $17 billion. Aims to ensure that all data follows the data model’s predefined rules.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

SEPTEMBER 20, 2024

NoSQL Databases: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. Unlike relational databases, they do not rely on a fixed schema, providing more flexibility in data modeling. This global presence ensures consistent and efficient data retrieval regardless of location.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

The Data Administration Newsletter

AUGUST 31, 2021

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization.

Data Visualization 94

Data Visualization Visualization Data Modelling Big Data 94

Sisense

JUNE 16, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. This piece was originally published on Search Business Analytics.

E-Commerce 69

E-Commerce Digital Transformation Planning Big Data 69

The Data Administration Newsletter

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Master Data Management 78

Master Data Management Data Modelling Data Quality Data Governance 78

Astera

JUNE 3, 2024

These databases are ideal for big data applications, real-time web applications, and distributed systems. Hierarchical databases The hierarchical database model organizes data in a tree-like structure with parent-child relationships. Data volume and growth: Consider the current data size and anticipated growth.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

AUGUST 28, 2024

They enable business intelligence (BI), analytics, data visualization , and reporting for businesses so they can make important decisions timely. The concept of data analysis is as old as the data itself. While it offers a graphical UI, data modeling is still complex for non-technical users.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40