Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Sisense

JULY 22, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. Data modeling: Create relationships between data.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Whizlabs

APRIL 19, 2021

His blog Rick’s Cloud recently celebrated 10 years of cloud computing. When we look back, it’s quite interesting to see how technology has developed over the past decade, and Rick’s Cloud is a testimony of all these changes” – He said in his blog post named Rick’s Cloud – 10 years of Cloud Computing.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

APRIL 7, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain. Using AI to its Fullest.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Sisense

JANUARY 15, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. As data has become more massive, the technical skills needed to wrangle it have also increased.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

JANUARY 6, 2021

Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want.

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

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. 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. He works on reporting, analysis, and data modeling.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. This may include combining variables, creating new variables based on existing ones, and scaling the data.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. This may include combining variables, creating new variables based on existing ones, and scaling the data.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Sisense

JULY 14, 2019

Quick question: does your company have data? How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Sisense

FEBRUARY 24, 2021

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Sisense

JUNE 12, 2019

Stay tuned for more blogs by me as we roll these capabilities out!). Living in a World of Big Data. It all starts with the data. The operational data science pipeline should be able to ingest new data hand in hand with the continuous support of model improvement which keeps the production system stable.

Artificial Intelligence 75

Artificial Intelligence Big Data Data Analytics Data Analytics 75

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Sisense

APRIL 10, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Both languages are user-friendly and easy to implement.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

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

Whizlabs

DECEMBER 23, 2020

However, organizations also face the need for ideal infrastructure for the storage, analysis, and processing of large volumes of data. Apache Cassandra has been one of the prominent names in the field of big data analytics for quite some time. Read Now: How NoSQL is better for big data applications. Conclusion.

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 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. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Sisense

MARCH 23, 2020

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

Retail 64

Retail Digital Transformation Big Data Data Modelling 64

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

Astera

MAY 31, 2024

It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables. Summary statistics are also calculated to provide a quantitative description of the data. Model Building: This step uses machine learning algorithms to create predictive models.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 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

Astera

MAY 25, 2023

In this blog we will look at the debate between PostgreSQL vs MYSQL. 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. What is PostgreSQL?

E-Commerce 52

E-Commerce Data Security Data Modelling Big Data 52

Sisense

AUGUST 4, 2019

Especially when it comes to the data in your tables. That is unless you understand the different scenarios, their resolutions, and how to build a good relationship with your data. Many-to-many relationships can be complicated. Determine What Kind of Relationship You’re In.

Visualization 75

Visualization User Experience Data Modelling Big Data 75

Data Pine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

JANUARY 2, 2024

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MARCH 7, 2024

These tests validate and verify the data to ensure accuracy and minimize data loss. This blog offers an in-depth discussion on ETL testing and its types, its necessity, the steps it entails, and how to do it right. Data now heavily impacts businesses at all levels, from everyday operations to strategic decisions.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Astera

JULY 3, 2024

It organizes data for efficient querying and supports large-scale analytics. Data warehouse architecture defines the structure and design of a centralized repository for storing and analyzing data from various sources. This setup supports diverse analytics needs, including big data processing and machine learning.

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.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Sisense

JUNE 16, 2020

Every company is becoming a data company. 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. about how to deal with change.

E-Commerce 69

E-Commerce Digital Transformation Planning Big Data 69

Dataversity

MAY 26, 2021

In the hedge fund industry, where investors need to act according to the current circumstances in order to benefit from them, it’s more important than ever for hedge fund managers to know and ride the latest data trends. Click to learn more about author Tom Wilson.

Data Modelling 130

Data Modelling Big Data 130

Astera

OCTOBER 7, 2022

But unstructured data is no longer dark data, unavailable for analysis. Advancements in artificial intelligence (AI) technology now make it possible for organizations to open previously-closed doors to big data that offer a trove of untapped insights. Unstructured data is qualitative and more categorical in nature.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 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.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data 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