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Enterprise Content Management Tips
You would be surprised from the amount of data produced by your organization on a daily basis. It’s not something you think of I am sure. You probably are more into the basic information you are able to gain from this data produced, however, something you cannot disregard is the fact that we are in a data-driven world. Big data analytics is what you really need to achieve business intelligence.
In most organizations, or allow me to say, in most unsmart organizations, data just keeps moving back and forth. It is utilized for the basic needs with no additional importance given. Little do people know that this data is what can help you achieve your organizations goals and objectives. When the important parts of data are separated from the unnecessary general information, you will be able to generate key information to turn it into recommendations, strategies and knowledge.
Why a Smart Business?
Business objectives provide a clear framework for translating the success of the business. In order to maintain a healthy business life cycle with profits and expansion possibilities, setting goals are a necessity to take your business to the next-level. As we all know business objectives need to be measurable. These objectives are easy to set for many, but are hard to measure for most especially if your business is not a smart business. The thin line between a smart and an unsmart business is whether they have an integrated solution to generate key information from big data produced by any organization.
Competing in a data driven world requires not limiting yourself to metrics and statistics. Big data’s potential has come a long way, taking full advantage of it requires incorporating analytics so professionals can make better and faster decisions. It has become vital for any organizations survival to integrate latest technological tools to position themselves amongst the top in their industry. Don’t let valuable information go to waste.
Content Analytics from Everteam…
Traditional business intelligence tools and text analysis are inefficient, and can’t make sense of this information. As we enter a new era of content analysis and with the technology advancing by the second, adopting a strategic approach around “big data” produced by your organization has become a necessity.
Thanks to Everteam, any ordinary person within the organization can gain insight into structured and unstructured content using our state-of-the-art applications. Our smart solution is integrated with tools creating indexing and search platforms essential for big data, regardless of their formats. You can measure the correct data, organize and layout your data, apply the needed search and use the findings to reach your business objective. You can at any stage add more data to enhance your findings when needed.
There is more to it…
Content analytics has improved as enterprise content management enters a new era of content analysis. Everteam.analytics brings together the best of both worlds a more streamlined access and representation of big data produced by your organization. A combination of highly developed coding of transcripts, newspapers, speech, films and other communication-related applications to conduct the most accurate qualitative and cluster analysis.
Exploiting and enhancing your content has never been easier. Using real-time analysis, decision makers get actionable insights to help them identify specific trends or complications. This is what happens to BIG DATA with everteam.analysis.
|1. Automatic Analysis It could be specific to a certain word search or a general search for report generation.|
|2. Validate Data Analysis Preview data from any source, regardless of size or file location. Use only the vital and needed data.|
|3. Extract Data Transform needed data from multiple sources for your any desired specific framework|
|4. Generate Report Required report produced for future predictions and recommendations|
What I like to call Accurate Intelligence:
So you extracted the desired information from your big data but it does not stop here. Data Analytics is improved with our solution due to something I would like to refer to as accurate intelligence. In the sense that you achieve “Business Intelligence” by utilizing your information wisely. Everteam.analytics can guarantee you that as it can answer any of your questions:
- What happened?
- Why it happened?
- What will happen?
- How can we make it happen?
- How can we prevent it from happening?
- What we would like to happen?
In simplified words, your business value increases as your data analytics get more developed and our solution is developed to give your business that extra leverage.
Built in with many features, our dynamic and user-friendly interface facilitates access to targeted information benefiting the organization as a whole. However, it’s mainly required to directly facilitate the work for business users, IT department and the corporate strategist.
Accurate Intelligence with everteam.analytics:
Eliminate the daily struggle of having to waste hours or even weeks to analyze certain data for a comprehensive market, security and even geographic view. Gather all the information you need instantly in one single place from multiple sources. Use it to generate the required reports and forecasts for the future using any scenario. All using everteam.analytics.
Everteam has successfully deployed many everteam.analytics solutions to companies based all over the world like Carrefour Properties, Bouygues Construction and MAIF. My advice to you as an expert in the field, you need to be part of the digital revolution. If you are a business owner you need to make sure your business is also part of this digitization.
Read more about everteam.analytics
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Your to-do list for 2018 is likely long — very long. But no matter how many goals you have set, here’s one initiative you should have on that list – modernize an older, legacy application. No other initiative has as much potential to pay long-term dividends for your business.
According to Niel Nickolaisen in a recent blog post on SearchCIO:
“In a world that is moving fast, we cannot have difficult-to-revise applications in our portfolios. So, select an application that is something of a Gordian Knot and use a service-oriented, microservices architecture to break it into pieces that talk to each other via a managed-API structure.”
Niel’s perspective is based on the fact that inflexible applications can directly affect your ability to compete and scale operations. Think through your operational systems — especially those that play a direct role in servicing customers — and you are likely to identify one that is an obstacle to key business initiatives.
Once you identify a system that does not have the flexibility to meet the needs of the business, there are two key things you need to consider when evaluating your approach to a modernization project:
- Is this a system you can completely replace, or do you need a way to improve it without ripping out the entire system?
- Are you able to break this system down into a set of components or services that work together to provide a solution?
Let’s consider each one:
Rip and Replace or Slowly Evolve?
We all love the idea of ripping out an old outdated system and replacing it with something new. And if you can do that somewhat easily – because you know it’s never REALLY easy – then you should get started now. Older systems run the risk of leveraging outdated technology and code that’s not only difficult to maintain but won’t support modern interfaces and experiences required in most companies today.
The reality is that more often, what you need to do is build customer- or employee -facing interfaces that integrate with legacy systems.
Consider a customer support portal that provides self-service capabilities to customers. For these portals to work, they have to integrate with backend systems where you store customer data. If those backend systems don’t offer an interface to pull out the data to surface in the portal or a way to update that data from actions taken in the portal, then that portal doesn’t improve the customer experience or reduce service and support costs.
It’s not just customers who benefit from improved interfaces to backend systems. Service reps who work with multiple customer information systems can support customers quicker and more efficiently when they only have to work with one interface. The one interface can connect seamlessly to all those backend systems to access and update customer data appropriately.
It may seem that if you adopt a slower evolution of legacy modernization, you are setting yourself up for more pain down the road. But you may actually be making the process of the ultimate switch over smoother by implementing a process automation layer between your modern interface and your legacy system. The process automation layer can connect to — and isolate — the legacy system and ensure that the data is maintained properly while it provides the data to an improved front-end experience layer.
This approach allows you to then work on your replacement project for that legacy application, without impacting the interface you provide to your customers or employees. And when you are finally ready to replace the legacy system with a newer application, you don’t have to touch the interface, only switch out the connections in the process automation layer.
It’s a best of both worlds.
A Set of Components Instead of One Big Application
As you start thinking about retiring that legacy application for something new, ask yourself if you need a new full-scale application or if it’s possible to offer all the same capabilities by implementing a set of services that interconnect to provide the functionality required.
Taking the content services approach, you can design your interfaces to connect to each service to get the functionality required for discrete functions. If those functions need to work together as elements of a process, then you can implement a process automation layer that connects to the components, surfacing the resulting data to the front-end interface.
Laurence Hart provides a good example of how this can work with enterprise content management and an agile content management framework:
“With clouds and containers, ECM systems can start small and scale on demand. Instead of working for three to four months to make the core content systems operational, teams can have the framework for a content services platform ready in a few days.
“Use of cloud services or containers from the beginning opens the door for Agile content management. Regardless of the Agile methodology chosen, the approach is the same; iterative creation and deployment of content management features that meet the needs of the people it is designed to support. The steady cadence of updates and releases keeps the technologists and the business in sync.“
Again, the path to modernization isn’t to build another monolithic application that will be difficult manage and maintain over time; the path to modernization is to think of capabilities in terms of components or services that can connect through a process automation layer to deliver a complete application. This service-based design allows you to build your application in iterations, adding and removing functionality as you need to without affecting the entire application.
And keep in mind when you build services you develop with reuse in mind. Each component or service can be leveraged by multiple applications or interfaces across the enterprise, giving you less to manage and keep updated over time.
Ready to Get Started to Modernize?
Many companies are seeing their IT budgets slashed, a challenge when you have a number of monolithic applications that are costly to maintain and aren’t able to provide the modern interfaces demanded today by employees and customers.
It’s time to start thinking about replacing these legacy applications. But don’t just replace one big app with another. Step back and examine how you can modernize that legacy app by implementing a process automation layer and a new interface. Then work on building a set of services that replace the functionality in the legacy system.
Once the services are ready, connect them to the process layer and disconnect the legacy app. You will have to think about how to migrate the information in the legacy solution to the new components, including whether to archive some of the information, but that’s a story for another day.
Want to learn more about how you can integrate process automation and enterprise content management to create modern content-based applications? Download the resource Merge Ahead for Better Business: The Convergence of ECM and BPM.
Talend Master VAR Partnership Officially Signed – Enhanced Overall Data Management Software
Beirut, Lebanon – January 2018 – Everteam and Talend signed a Master Value-Added Reseller Agreement, a special agreement driving incremental revenue for both parties.
In the increasingly competitive IT industry it is vital for companies to undergo different kind of possible technical & sales alliances. Everteam is a very strong believer in partnership agreements. Everteam saw a partnership opportunity with Talend; a partnership that was beneficial to both parties as partnering up with Talend would consequently expand Everteams product portfolio. Talend would support through their expertise in Data Management Software & Big Data for complex data integration and streaming projects using 900+ connectors that enable connectivity with almost any application. Through signing this partnership, Everteam will be granted the rights to market, distribute and resell Talend’s software products and services as preferred resellers in the Middle East.
Sales developments open for Everteam across the region, including KSA (exclusively), Lebanon, Jordan, Kuwait, Bahrain, Qatar and UAE, as Everteam has a very strong presence in the region. Their vast portfolio speaks for itself with top clients from KSA, Qatar, UAE, Lebanon, and North Africa and beyond. Talend will be able to benefit from this aspect as the company has no direct presence in the region. This will give both parties new opportunities as they complement each other in data management, big data and cloud storage.
Through this partnership Everteam will continue to provide solid product offerings to its clients in the Middle East, but will also use Talend’s advanced Data Fabric middleware solution to convert more and more organizations into data driven organizations through advanced big data management – data collection, extraction and analytics.
Brian Perrins, Sales Manager for Talend emerging markets expressed his excitement over this partnership as he stated the following “We are very thrilled to have Everteam onboard. We know that this partnership will offer a lot of added values for both companies in the region to support our rapidly growing end user base.”
“Through this partnership, I believe that Everteam will be in an even better position to embrace big data and cloud using world class applications from Talend, who are to be recognized as leaders by top industry analytics like Gartner anf Forrester” said Mr. Rony Oneissi, Vice President Expertise & Solutions at Everteam Global Services.
Talend is a next-generation leader in cloud and big data integration software that helps companies become data driven by making data more accessible, improving its quality and quickly moving it where it’s needed for real-time decision making. Talend’s open-source, native, and unified integration platform, Data Fabric, enables customers to embrace new innovations and scale to meet the evolving data demands of the business.
The only open source vendor named a leader in the Gartner Magic Quadrant for Data Integration and data Quality Tools, and the Forrester Big Data Fabric Wave, Talend’s innovative solutions are relied upon by 1500+ global enterprise customers across a range of industries from Banking to Telecommunications to Governments, including leading brands such as Air France, GE, and Lenovo.
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4 points content services platform should ruminate!
No doubt that AI has made it onto the list of tech buzzwords for 2018 and it has gained so much popularity in the region. Could this be the AI takeover? What if it was? Does that mean we will be dealing with more and more big data analytics? The process of AI includes the stimulation of human intelligence by machines in order to recognize, learn and correct, with the ability to distinguish voice and vision.
As humans, we know more than we can tell however we can plan, deploy and govern suitably. AI is a big example of that. We are also contributing heavily in the production of big data as the world grows in a vast speed, so does “Big Data”. More and more organizations combine between the two, how does big data play a part in the recent improvements of AI and machine learning in overall businesses.
Advancement in data analytics producing professional analysis and facilitating decision making. We will be able to process huge quantities of data. What was once difficult is now a “piece of cake”. Everteam’s Content Services Offering has also become smarter. By integrating next-level capabilities into our Content Services Platform, such as Entity Extraction , we are helping our customers locate and classify atomic elements residing in text, into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc…
Shift to real-time
Data made much more visible and in higher quantities during real-time. Access large amounts of data always available online. Therefore enhanced targeting opening up for better opportunities. Everteam Content Services Platform manages the ingestion, storage and processing of very large volumes of content, coming in various flows and in different formats. Coupled with a Records Management System, fully integrated with the Content Services platform, the solution also manages physical security archives. Based on a distributed processing sub-system to manage the Big Data distributed storage, Everteam analytics solution exposes its services to the Big Data analytical layers as well as other third party applications.
With it a lot of advantages like decentralization, enhanced security and data transactions. As it becomes more popular in financial institutes so does the possibility to identify consumer spending patterns through big data analytics. Everteam solutions already have reliable security measures, however our blockchain connectors are predicted to be released in late 2018, so stay tuned!
Data management enhanced
More data is being produced with time. With improved AI and advanced big data analytics, data coming from various sources can be used to create the necessary products wanted by consumers. Everteam now integrates an Enterprise Data Integration Tool that facilitates data movement from its source to a specified destination in a streamlined and automated, real-time or batch approach while undergoing a set of Extraction, Transformation and Load (ETL) operations to meet the desired outcomes. Extremely large data sets ingested are then stored into the Big Data structures managed by Everteam.
Uses of big data have been able to show positive measures in productivity throughout the years and especially in 2018, covering industries vital to society. Fraud and crime, tax, healthcare systems, government documents and many other aspects have are now easy to wrestle. Built-in data analytics in applications facilitating big data analysis. In short, AI with big data is a great opportunity providing platforms that are easy to install, manage and code.