Data Management – intalio https://www.intalio.com Complete Content Services Platform For Information Governance Fri, 15 Oct 2021 15:45:42 +0000 en hourly 1 7 Key Reasons Why You Need Data Governance https://www.intalio.com/dg-reasons/ Mon, 07 Jun 2021 05:05:45 +0000 https://www.intalio.com/?p=61916 In today’s highly competitive business market and data-driven world, Data Governance is a powerful tool. Corporations that have a firm grasp on Data Governance are better positioned to keep up with the fast pace of modern business. That is why enterprises need a strategy to optimize their value, manage risks, and minimize costs now that…

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In today’s highly competitive business market and data-driven world, Data Governance is a powerful tool.

Corporations that have a firm grasp on Data Governance are better positioned to keep up with the fast pace of modern business. That is why enterprises need a strategy to optimize their value, manage risks, and minimize costs now that they have the ability to capture huge volumes of varied data.

All businesses must plan how they will use their data and ensure that it is managed consistently throughout the organization. Let us mention the key benefits of Data Governance that make it a strategic asset to your enterprise today and even more so in the future:

  1. Ability to respond better and quicker to compliance regulations by identifying data breaches and increasing data security.
  2. Enhanced business performance by eliminating redundancies and ensuring data accuracy, completeness, and consistency.
  3. Increased revenue by finding ways to reduce costs while also discovering new revenue streams.
  4. Better decision-making by gaining access to more accurate analytics.
  5. Improved customer happiness by using data to deliver a personalized customer experience.
  6. Easy access to data by having an advanced understanding of the location of all data associated with key entities.
  7. A common understanding of data by providing consistent data standards and using the same vocabulary.

 

If you are looking for ways to give understanding, trust, and significance to your data, all the while addressing legal, security, and compliance issues, we can help.

Intalio can provide you with Advanced and Reliable Data Governance Features that will allow you to extract value from all the data collected and kept across the organization, enabling a successful and speedy digital transformation across the company. You can read more about our Data Governance Solutions or reach out to us for additional information.

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How Data Scientists Have Become the Backbone of Corporations https://www.intalio.com/data-scientists/ Wed, 18 Nov 2020 09:01:15 +0000 https://www.intalio.com/?p=59304 The post How Data Scientists Have Become the Backbone of Corporations appeared first on intalio.

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There was a time when scientists were the backbone of every advancement that has impacted our world. Pioneers like Marie Curie, Newton, Einstein, Galileo, Edison, and many more, have shaped our knowledge and changed the way the world functions today by answering to the needs of society, and ultimately, the world.

Similarly, today and with the emergence of big data, we find the traffic of unstructured information overwhelming companies and increasing workloads. Just like scientists were the unsung heroes of yesterday, Data Scientists have become the unsung heroes of today as they translate data into key business success factors.

What is Data Science and why is Data Science so important?

First of all, we need to make it clear that data science is NOT computer science or computer engineering. While computer science is in charge of computation and applications, data science is in charge of data throughout its lifecycle – from storage to archiving – especially when it comes to insight and predictions.

Mainly, data scientists are in charge of analyzing, managing, and using data in useful ways that can become business solutions for companies.

You may be thinking that companies can simply hire statisticians to do so like they previously did. However, with the development of computing processes, cloud storage, and analytical tools, the world of statistics merged with computer science brought data science to life.

Data scientists need more than just math and statistics to be effective; a data scientist also needs knowledge of supply chain, finance, logistics, human resources, and so on. The more knowledge the data scientist may have, the more they are worth the investment a company is willing to make to hire them.

These modern-day wizards use algorithms, patterns, visualization tools, and machine learning to optimizing workflows and predict trends.

Not only do they make sense out of data, but they also study user behavior and habits through data gatherings such as the world wide web or software search history.

Why are Data Scientists the common-day heroes of companies?

Data Scientists have become an indispensable asset for companies as they are a key part of business success. While software maintains data, data scientists figure out how to utilize it to push businesses and markets forward.

If data is contained and maintained without it being utilized for actionable insight, every piece of datum that we have is rendered valueless.

Think of all the companies that made an incredible profit during the Covid-19 pandemic. They were able to be on top of their game because they were able to properly manage their information and assets, predict trends, personalize their customer experiences, and recreate effective teams while working remotely; all of which are tasks aided by data scientists.

Top 6 ways Data Scientists use their superpowers.

Risk and Fraud

Data Scientists may detect risk and fraud by being trained to investigate data that doesn’t seem to fit trends or patterns. Once detected, they can create alerts and respond effectively and efficiently saving companies millions in return.

Market Trends

Data Scientists may very well help product businesses identify when and how their items are best sold, helping marketing teams and sales with their predictions, strategies, and overall sales.

Personalized Customer Service

Data Scientists are also the people behind personalizing experiences for customers by providing other departments an understanding concerning their customers or audiences – depending on the industry – and helping them work on meeting customer needs.

Decision Making

These insights and predictions tremendously help upper-management in making significant decisions with lower risks across the company by measuring, tracking, and managing performance metrics.

Targeting Customers

Data scientists are also able to identify key groups by matching them with trends and data at hand, allowing organizations to tailor their services to potential customer groups.

Human Resources

Just like they collaborate with sales, marketing, and upper-management teams, data scientists may also work with human resources departments to identify potential employees that would fit companies like a glove using metadata on CVs as well as metrics from employment websites such as LinkedIn. It is also important to note that they may also take charge and analyze aptitude tests and games within the hiring process

Tools as the Backbone of Data Scientists

At this point, you should probably be convinced of why any company may need data scientists, even more so, why these modern wizards have become the backbone of any company’s success. But just like wizards need a wand, heroes need a cape, and scientists need their tools, data scientists are also rendered helpless without their data processing tools that allow them to collect, maintain, visualize, integrate, and manage data to begin with. Intalio offers tools for data integration, data processing, and data insight to help companies provide the right tools for data scientists by having control over information and be able to leverage workflow automation throughout the entire data lifecycle.

Find out more about intalio’s data governance tools.

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The top trends you didn’t know about document management https://www.intalio.com/dms-trends/ Thu, 15 Oct 2020 05:26:44 +0000 https://www.intalio.com/?p=58944 Document management, often referred to as Document Management Systems (DMS), shook and shaped businesses. It redefined the way enterprises function in a World where technology has embedded into every detail of our lives. Companies have migrated from paper to digital documentations thanks to the true potential of digitization,the value it adds and the assets it…

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Document management, often referred to as Document Management Systems (DMS), shook and shaped businesses. It redefined the way enterprises function in a World where technology has embedded into every detail of our lives. Companies have migrated from paper to digital documentations thanks to the true potential of digitization,the value it adds and the assets it incorporates.

DMS offers some of the most rudimentary functionalities to content management, imposing controls and management capabilities onto documents. Thus, integrating and mastering cutting-edge digital products will make you fall under a new era of business growth and advancement.

However, as Document Management Solutions have evolved over the years, and as we step into the next generation, there are numerous trends that will soon be adopted while there are others brand new in the DMS World and that we need to keep up on with towards achieving better functionality.

Top trends to make your business grow

Cloud computing

Cloud computing nowadays tackles two different matters; it is the ideal mean to deliver enterprise applications and the chosen solution for companies looking to extend their infrastructure or launch new innovations. Cloud-based solutions offers you flexibility, agility and scalability like never seen before.

A mobile friendly environment

Accessing documents away from traditional workspace through a variety of online devices including smartphones and tablets has been on the list since a long time. This also resulted in a demand for a user friendly software compatible with the several devices.

AI and natural language understanding

Automation and rapid adoption of AI technologies such as machine learning and natural language processing are heavily making their way. This technology handles unstructured data like texts in everyday language. It could be trained using smaller datasets and necessitates almost no annotation or tagging which could save both cost and time.

A better online security

As the accessibility of documents improved, it brought along certain security weaknesses as a result. Safeguarding content across a network of remote employees will definitely be the next challenge many enterprises will have to deal with in the near future.

Intelligent Search

As data within a company grows and adapts different shapes, as employees are equipped with several Artificial Intelligence tools, the possibilities to get the most out of data are limitless. Thus, search function evolved beyond being just a tool in the toolbox to being a must yet a key for productivity and an accelerant that enables strategic decision making and provides potential competitive advantages.

Advanced security measures

All these trends might be challenging and may turn choosing a specific Document Management Software into a flimsy process to deal with especially when bringing security to the table. Paper documents floating around and digital records, both generate risk for a company’s confidential information. Risk is also bent when staff make use of internet services that might not been properly examined and thus expose documents to an unintended audience. Hence, resorting to a well-established DMS is mandatory yet a delicate process that requires high calibers. But this does not mean that we deny the prominence of DMS especially in a time where technology became increasingly an enabler of business continuity.

What does Intalio Offer in the new Era of Document Management?

Consequently, Intalio provides top-notch digital solutions that will make better use of your content and let you operate efficiently throughout your entire organization. These advanced solutions will reduce time, effort, and cost when dealing with mandatory yet confidential documents within your library.

The future is Digital. Given the latest yet the upcoming trends in DMS as well as the factors that impact its worth, it is supposed that tomorrow would be all about the use of technology for a boring task as the management, storage, and use of documents often is. Combining all of these trends provides a solution to the challenges that companies might face and highlights the role of these platforms in business.

If these trends triggered you, then the next step you need to take is to get in touch with our experts to help you establish the right Document Management System that fits and covers your enterprise needs and offers you free access to continuity and success!

Get in touch!

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Digital Technology | Game Changer in Transparency and Accountability https://www.intalio.com/digital-technology/ Thu, 17 Sep 2020 07:16:43 +0000 https://www.intalio.com/?p=58425 Introduction to Transparency and Accountability in Organizations… Good information governance requires digitizing your business processes, with that comes heightened transparency and accountability of any organization. Established over the years from obvious results; immediate access to information positively affects in enhancing transparency while empowering your employees immediately increases the accountability of the organization. It’s a process…

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Introduction to Transparency and Accountability in Organizations…

Good information governance requires digitizing your business processes, with that comes heightened transparency and accountability of any organization. Established over the years from obvious results; immediate access to information positively affects in enhancing transparency while empowering your employees immediately increases the accountability of the organization.

It’s a process that any organization whether big or small, old or new; needs to go through to retain all process-related communication within the workflow to make execution easier and faster.

Power in Transparency and Accountability

Without transparency and accountability, your organization will have its workflow disrupted by lack of vision and inconsistency. All employees need to be able to take ownership of their tasks also ensuring that everyone in the department knows what stage they are at and who is responsible for what. Streamlining your business processes to drive better workflow and ensure your team actually achieves the given objective, is achieved through transparency and accountability.

Transparency

Transparency can eliminate unnecessary frustration by offering a clear outlook on the cause of any problem that an organization can face. Blaming each other for a delay or missed deal is done more than owning up to a problem. The second part gets even more complicated as there is no way to determine where the errors happened along the process, causing a delay in achieving company goals and objectives.

Additionally, most businesses rely on getting approval and authorization so the process can move along swiftly to the various departments in the organization. Lack of transparency will surely slow down the operations process and prevent the employees to reach their maximum potential.

Accountability

Accountability is created by transparency. The moment your organization has a clear view of how the approval process works and who is in charge of what, employees can deliberately identify who is accountable for each process. This includes the ability to get information like who opened a specific document and what kind of action they did on it, where the document is being held up and where it needs to go to next. When employees know how to reach the decision process, it creates a momentum that drives the process forward.

On Organization with a Vision

In the past we often focused on solving any delay our organization faces related to external parties. We overlooked the small details that are focused on what happens within the organization like an unorganized workflow process leading to last-minute payment changes, missed deadlines, increased costs, employees not really doing their jobs, and so on.

No organization was able to really reach a solution to solve the issue once and for all without having to digitally transform their business processes. Since the organization lacked transparency and accountability, they are not able to know how to prevent the same mistakes from happening in the future.

Do you want to be an organization without a vision? You choose!

Nothing is better than having options to choose from, however with digital transformation in organizations, you don’t really have the choice unless you ultimately want to fall back and eventually shut down your business. Software solutions aim to help organizations like yours be ahead of the competition, transform the way you do business, and the way different departments work together.

Digital Software Technology

In whichever industry your organization belongs to, modern technology has created ambitious tools to support and generate innovative, practical work on transparency and accountability. Automating your business processes through digital software technology will enhance your organizational management, allowing you take more informed business decisions to increase your output and reduce costs. Automated workflow systems allow for assigning the tasks to the required departments with the ability to monitor the progress of all the projects your organization is undertaking. To give you a real example for a better idea, let’s take Intalio Case Management Software, a dynamic platform designed to improve the performance of personnel within the organization by combining the simplicity of a customizable packaged solution with advanced user features.

Whether you are in the public sector, serving the public, or in a financial institution, or any other, with those tools in place, gone will be the days where you have to run around to collect the requested document and to go many times to submit the application. Today, participants can focus on the case itself or on the task at hand instead of dealing with the hurdles or collecting the information, transferring, tracking the request status, or even manually searching for or reproducing the information.
Along the entire cycle, transparency and accountability are achieved as case managers can track and monitor the progress of a file while involved stakeholders work with the content, respond to the deadline and collaborate with each other in a comprehensive digital workplace!

If You Can Think of it, You Can Make it Happen!

Technology is the tool for this transparency and accountability. Now that there is evidence of failure, employees can no longer disregard failure. All eyes will be on them as they are in charge of getting a specific task done.
Building transparency and accountability needs to be embedded into the culture of the company. The moment technology is introduced with the right mindset, the entire approval chain solves the weakness by speeding up business processes.

It’s time to focus on your organizations transparency and personnel accountability.
Start working smarter.
Get in touch with our experts today!

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A Simple Approach to Data Management https://www.intalio.com/dm-approach/ Mon, 02 Mar 2020 07:04:38 +0000 https://www.intalio.com/?p=48748 The post A Simple Approach to Data Management appeared first on intalio.

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The idea of data management is relatively simple to understand. An organization must be able to capture, access, transform, analyze, and secure relevant data in a timely and efficient manner in order to apply smart business decisions and processes.

The importance of Data Management for reliable, quality data approach

Data management is concerned with “looking after” and processing row data helping organizations in their digital transformation process. It allows the consolidation of data (and meta-data) in a way that is easy to manipulate, retrieve, and maintain. It ensures data for analysis are of high quality so that conclusions are correct, enforcing well-set data security and information governance strategies.

Good data management allows further use of the data in the future and enables efficient integration of results leading to improved process efficiency, improved data quality, and improved meaningfulness of the data.

Data Management, bringing more value to raw data

Advanced data management tools are needed to collect, cleanse, convert, segment, code, and consolidate content data from disparate content sources for a centralized aggregated “Big Data” ready for analysis. Capture should cover all incoming content in a mixed manner: automated for bulk ingestion of content and interactive for on-demand capture.

The Data Capture phase of a Data Management Framework

Capturing content in an automated manner requires a Capture Process Automation solution. The objective is to define the capture process, the various activities related to it, the various activities related to integration with other content sources, and activities related to the approval and enrichment cycle.
Data capture automation tackles also the issues of migrating existing content to the newly installed system. During the migration, operations such as data cleansing, data linking, data conversion can also be achieved.

Data Integration, a step further to Data Governance

Organizations must be able to integrate data from various, disparate content sources and transform it into trusted information. The ability to integrate information quickly and efficiently is crucial even as those requirements continue to shift and data volumes increase.
Data Integration tools provide the ability to ingest vast amounts of content into Big Data structures in a fast, efficient, and standardized manner. Content is imported in batches through high-performance import procedures while providing classification and organization of content according to existing classification plans. Data Integration Tools are usually based on ETL processes to:

  • Extract various types of structured and unstructured data with large volumes and structures ranging from simple to complex and convert the data into a single format appropriate for transformation processing.
  • Transform extracted data into a unified, standardized format, for storage, to allow further querying and analysis.  The transformation phase involves a data cleaning operation, which aims to pass only “proper” data to the target.
  • Loading unified content into the final target

The need for a growing Data Storage Architecture

The above phases will lead to extremely large data sets ingested and stored into the Big Data structures and linked to other internal and external data sets. A solid and performing framework is needed for storing and processing Big Data in a distributed manner on large clusters of servers. Basically, what the framework is requested to accomplish is massive data storage and very fast processing. The core of the Big Data Management framework also consists of the following:

 

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