The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Data Modelling Data Architecture Data Management 145

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics.

Big Data 363

Big Data Real-time Data Data Modelling Planning 363

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Again, big data is helpful in creating these models.

Finance 320

Finance Data Analytics Data Analytics Big Data 320

Smart Data Collective

OCTOBER 20, 2021

Organizations must adopt transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) to harness the true potential of data, drive decision making, and ultimately improve ease of doing business. Why is Data Integration a Challenge for Enterprises?

Artificial Intelligence 334

Artificial Intelligence Big Data Data Modelling Data Management 334

Simplilearn

SEPTEMBER 18, 2021

Apache Storm is a real-time stream processing system, and in this Apache Storm tutorial, you will learn all about it, its data model, architecture, and components. It helps to process big data. Features of Apache Storm Following are the features of Apache Storm. It is an open source and a part of Apache projects.

Data Modelling 130

Data Modelling Big Data 130

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Big Data 281

Big Data Retail Planning Data Modelling 281

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Data Mining Techniques and Data Visualization.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 349

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 349

Smart Data Collective

AUGUST 9, 2022

Big data technology is a double-edged sword for many companies. They are discovering that there are countless benefits of investing in data in business. Unfortunately, making use of big data is a challenge for many companies. They have accumulated large amounts of data, but struggle to analyze it.

Documentation 306

Documentation Big Data Data Modelling Data Management 306

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

E-Commerce 334

E-Commerce Cloud Computing Big Data Data Modelling 334

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams.

Business Intelligence 345

Business Intelligence Business Intelligence Big Data Visualization 345

Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. Big Data is, well…big.

Big Data 266

Big Data Agile Data Analytics Data Analytics 266

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. Write Down Your Objectives.

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

MAY 29, 2023

The Role of an Effective Analyst Data analysts are responsible for the harvesting, management, analysis, and interpretation of big data gathered. Skills Sets to Look For When entering into the hiring process for a data analyst there are a few skills that are recommended to look for when narrowing down the pool of options.

Big Data 262

Big Data Healthcare Data Modelling Data Analytics 262

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Below we break down the latest trends in business intelligence.

Business Intelligence 336

Business Intelligence Business Intelligence Supply Chain Visualization 336

Sisense

OCTOBER 21, 2020

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Picking a direction for your data model. Think like a designer. However, just asking your users, “What do you want?”

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Smart Data Collective

JUNE 16, 2022

A data warehouse extracts data from a variety of sources and formats, including text files, excel sheets, multimedia files, and so on. The consolidated totals are saved in a data model in the HOLAP technique, while the particular data is maintained in a relational database.

Data Warehouse 348

Data Warehouse Data Modelling Monitoring Business Intelligence 348

Smart Data Collective

APRIL 5, 2022

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

IBM Maintenance 362

IBM Maintenance IBM cost IBM Support Artificial Intelligence 362

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

Smart Data Collective

APRIL 4, 2022

However, many companies are struggling to figure out how to use data visualization effectively. One of the ways to accomplish this is with presentation templates that can use data modeling. Taking Advantage of Data Visualization with Presentation Templates. Keep reading to learn more.

Data Visualization 321

Data Visualization Visualization Data Modelling Big Data 321

Dataversity

JANUARY 13, 2021

In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. Click here to learn more about Gilad David Maayan. What Is Artificial Intelligence Marketing?

Artificial Intelligence 173

Artificial Intelligence Data Modelling Big Data Digital 173

Smart Data Collective

JULY 9, 2023

ETL allows for the creation of data models that support complex queries and calculations. These models provide a solid foundation for data analysis, allowing decision-makers to explore trends, patterns, and correlations.

Data Warehouse 264

Data Warehouse Data Quality Data Analytics Data Analytics 264

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

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. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Data Mining 115

Data Mining Big Data Planning Data Modelling 115

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

Smart Data Collective

MAY 29, 2023

Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies. Ensuring Accountability and Transparency To effectively address bias, developers of AI translation systems must ensure accountability and transparency.

Artificial Intelligence 240

Artificial Intelligence Documentation Data Modelling Monitoring 240

The Data Administration Newsletter

JUNE 1, 2021

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. This is harder than it sounds.

Data Modelling 98

Data Modelling Data Architecture Big Data Data Management 98

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

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

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 15, 2021

This is one of the reasons we’ve seen the rise of data teams — they’ve grown beyond Silicon Valley startups and are finding homes in Fortune 500 companies. As data has become more massive, the technical skills needed to wrangle it have also increased. Situation #2: Established company creates a data team for deeper insights.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

JUNE 26, 2019

It was a big investment that is still viable, and one that forms the legacy databases of many companies today. . Fast forward to Big Data. Now we can throw in the four 4 V’s of Big Data (Variety, Volume, Velocity, and Veracity) and compound the data issues of the enterprise with an even bigger data issue.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

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

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