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. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.

Visualization 246

Visualization Data Warehouse Business Intelligence Business Intelligence 246

Dataversity

MARCH 17, 2021

I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]. appeared first on DATAVERSITY.

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Data Architecture 130

Dataversity

FEBRUARY 3, 2022

From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […].

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Big Data 130

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? 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. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Data mining. Do let us know if you found the blog useful in the comments.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Sisense

JULY 8, 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. The ETL process and data warehouses.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Actian

SEPTEMBER 11, 2019

Following is the third installment of our in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series explores each of these four trends in greater detail. Our weekly blog series explores each of these four trends in greater detail.

Data Warehouse 40

Data Warehouse Digital Transformation Data Analytics Data Analytics 40

Actian

SEPTEMBER 11, 2019

Following is the third installment of our in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series explores each of these four trends in greater detail. Our weekly blog series explores each of these four trends in greater detail.

Data Warehouse 8

Data Warehouse Digital Transformation Data Analytics Data Analytics 8

Astera

MAY 31, 2024

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Your hybrid cloud data warehouse should support multi-cloud deployment. Storage needs grow incrementally over time as you produce more data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. More on Kubernetes soon.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

BizAcuity

AUGUST 1, 2022

JasperSoft for Big Data Analytics. Jaspersoft is particularly resourceful as a cost-effective big data analytics solution that can connect with and present information for Cassandra Analytics, MongoDB Analytics, Hadoop Analytics, among many others. [Source: [link] ].

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Actian

FEBRUARY 3, 2020

A few months ago, Gartner published an update on the database market, which is highlighted in Adam Ronthal’s blog “ There is only One DBMS Market ” and made a rather profound declaration – the database markets have collapsed. Why is this important you might ask, and what does it have to do with my data warehouse?

Data Warehouse 40

Data Warehouse Digital Transformation Big Data Digital 40

Sisense

APRIL 17, 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.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. And we wanted to bring our own data engineering group. And for good reason.

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. This design philosophy was adapted from our friends at Fishtown Analytics.).

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Inflexion Analytics

JULY 23, 2021

But falling costs means that data and analytics tools will soon be accessible to the many. On a global scale, data, analytics and automation have the potential to transform agricultural productivity and sustainability, fighting hunger and slowing climate change. The data warehouse is the farm’s ‘single source of truth.’.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Sisense

JANUARY 15, 2021

Implementing analytics at your company is a multi-team job. 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. Situation #2: Established company creates a data team for deeper insights.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

APRIL 26, 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. Structured vs unstructured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

BizAcuity

MARCH 28, 2022

No wonder casinos have full-fledged data analytics teams both in-house and outsourced. The data points related to users/players reside across multiple channels and platforms i.e. websites, apps, CRMs, Ad networks, and financial software.

User Experience 130

User Experience Data Warehouse Planning Data Visualization 130

Actian

SEPTEMBER 30, 2019

This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series has explored each of these trends in greater detail. You can find the complete blog series by visiting Data @ Work , the official Actian blog.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 30, 2019

This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. Our weekly blog series has explored each of these trends in greater detail. You can find the complete blog series by visiting Data @ Work , the official Actian blog.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Sisense

AUGUST 22, 2019

Python, R, and Analytics. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. What’s been missing is a way to natively integrate Python and R with the rest of the data analytics stack. SQL, Python, and R on Periscope Data by Sisense. A New Paradigm.

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Analytics adoption has stalled; only infused analytics can help. Optimize your cloud data warehouse cost forecasting. Learn more.

Data Warehouse 52

Data Warehouse User Experience Government Innovation 52

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 analytics case study: SkullCandy.

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52