Dataversity
JANUARY 25, 2022
Data is the strongest weapon in any enterprise’s arsenal. With proper Data Management tools, organizations can use data to gain insight into customer patterns, update business processes, and ultimately get ahead of competitors in today’s increasingly digital world.
Smart Data Collective
SEPTEMBER 21, 2021
In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations.
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Dataversity
MARCH 10, 2021
Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes.
ElegantJ BI
SEPTEMBER 30, 2021
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub. Data Mart.
ElegantJ BI
SEPTEMBER 30, 2021
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub. Data Mart.
Actian
SEPTEMBER 12, 2019
AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations. The need for persistent data.
Smart Data Collective
OCTOBER 17, 2022
Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. A point of data entry in a given pipeline.
The Data Administration Newsletter
OCTOBER 5, 2022
Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.
Smart Data Collective
JUNE 19, 2019
Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon. The Relationship between Big Data and Risk Management.
Actian
SEPTEMBER 12, 2019
AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations. The need for persistent data.
Smart Data Collective
OCTOBER 26, 2019
Choosing a backup method for data backup requires being aware of the factors that affect data backup in the short and long term. Having an off-site backup ensures that the data is far enough away from a local incident so that the business can recover normal function quickly. While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. RPO is the tolerance a business has for data loss.
Astera
MARCH 26, 2023
Data is at the heart of the insurance industry. But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. Data validation rules can be particularly useful in such cases.
Astera
DECEMBER 21, 2022
Doing business in the modern world requires handling a constantly increasing amount of data. Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. What is unified data?
Astera
SEPTEMBER 21, 2022
The new API Management solution allows businesses to effortlessly consume, develop, and publish APIs and securely share them with their stakeholders. Astera showcased its code-free data management platform and its latest addition, Astera Data Services.
Netmind
MARCH 9, 2021
Especially in an environment of constant change, uncertainty, and complexity (like our current pandemic), having data available to facilitate quick decisions is critical for continuous adaptation and for survival of an organization. What kind of data are we talking about?
Netmind
NOVEMBER 1, 2020
Especially in an environment of constant change, uncertainty, and complexity (like our current pandemic), having data available to facilitate quick decisions is critical for continuous adaptation and for survival of an organization. What kind of data are we talking about?
BizAcuity
SEPTEMBER 30, 2019
Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. Security is a the single most top concern in the cloud, and so it is critical to ask detailed and explicit questions that relate to your unique use cases, industry, regulatory requirements, and any other concerns you may have.
Actian
JULY 31, 2019
Managing and analyzing heterogeneous data is a challenge for most companies, which the oncoming wave of Edge Computing-generated datasets has only exacerbated. This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process. These systems contain semi-structured and unstructured document data stored in eXtensible Markup Language (XML) and JavaScript Object Notation (JSON) formats.
Data Pine
NOVEMBER 27, 2019
Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM).
Astera
JANUARY 9, 2023
While multi-cloud is a wise decision, businesses often run to into management and operational challenges. With the advancements in cloud technology, a single cloud provider can easily fulfill all data requirements. Data Interoperability. Data Portability & Visibility.
BizAcuity
SEPTEMBER 30, 2019
Beyond industry standards and certification, I also look for structured processes, effective data management, good knowledge management, and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. Security is the single most top concern in the cloud, and so it is critical to ask detailed and explicit questions that relate to your unique use cases, industry, regulatory requirements, and any other concerns you may have.
Juice Analytics
MAY 19, 2021
Building a Data Fluent organization requires getting everyone on the same page. This common understanding spans everything from cultural expectations to accessing and using data. As I’ve written time and again , it incumbent on executives to set the standard for data culture.
BizAcuity
SEPTEMBER 30, 2019
Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. Security is a the single most top concern in the cloud, and so it is critical to ask detailed and explicit questions that relate to your unique use cases, industry, regulatory requirements, and any other concerns you may have.
BizAcuity
SEPTEMBER 30, 2019
Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. Security is a the single most top concern in the cloud, and so it is critical to ask detailed and explicit questions that relate to your unique use cases, industry, regulatory requirements, and any other concerns you may have.
Whizlabs
DECEMBER 13, 2020
Since DevOps requires a holistic approach that encompasses system thinking and the creation of a healthy culture, it has the potential to revise conventional approaches in software development. However, security will be a mandatory requirement in the DevOps landscape.
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? What is a Cloud Data Warehouse? 6 Benefits of Cloud Data Warehousing.
Insight Software
JANUARY 17, 2022
It also means keeping your customers top of mind as you determine requirements. These five BI requirements (both technical and non-technical) are critical to any analytics implementation and common to most evaluations. Data Environment.
Sisense
SEPTEMBER 3, 2020
In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. A simple yes or no answer in each case, will help you determine quite simply some fundamental requirements that a platform should fulfil.
Data Pine
OCTOBER 30, 2019
Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, without proper data management processes at hand. The rise of innovative report tools means you can create data reports people love to read.
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