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implementation maturity level and best practices

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The basic information that all companies that want to work with data must be clear about, in addition to its definition, is related to the different types of analytics that exist, and to the main data analytics models that companies use to achieve the information you want. But it’s also It is advisable that they know the different degrees of maturity of data analytics in terms of its implementation.

In this way they can decide to what extent they want to use and deploy it, or at what point they are if they have already started using it and want to take one or several more steps until its full implementation. On the other hand, it will also benefit them to know those considered as best practices for adopting data analyticsand use it in the best way for the benefit of the company.

Degrees of maturity of the implementation of data analytics

According to the consulting firm Gartner, there are five different levels of maturity for data and analytics models. The first, the Basic, is the one that uses data and analytics, managing them in isolated silos, focusing above all on reviewing past events through logs and transactional data. Of course, in this case, the data analytics processes are carried out when they are needed. Therefore, they have practically no automation or governance rules. Analysts have to use spreadsheets and large volumes of information to work.

The second tier, which Gartner calls Opportunistic, marks the beginning of companies to obtain more information from the data, and with greater availability, for their different business areas. They are also beginning to establish parameters to ensure data quality. Of course, all these efforts continue to be compartmentalized in silos, and the deployment of data analytics at this level is affected by company culture, the lack of appropriate leadership, organizational barriers and the slow proliferation of tools. The data strategy also lacks relevance in the company.

In the third level of maturity, the Systematic, company managers are beginning to become advocates for the use of data and its analytics. They develop a clear strategy and goal, and focus on getting there quickly. Business intelligence and data warehousing capabilities and functions are often adopted at this level, leading to more centralized information management. However, data is still not a key business priority.

Is in the fourth degree of maturity of the implementation and deployment of data analytics, the Differentiator, when data becomes a strategic asset. It serves to link the different business divisions together, and is a key element in driving performance and innovation.

At this point they usually have a person in charge at the address: the CDO, or Data Manager. His mission is to direct everything related to analytics in the company, as well as to measure the return on investment (ROI), while other managers support him, and follow and promote good practices to use the data and the information obtained from them. . At this point there are still some eggs in terms of data governance, and the use made of Artificial Intelligence and machine learning is still limited.

It will not be until highest level of data and analytics implementation maturity, the Transformer, when an organization implements both data and analytics at the core of its business strategy. Also then, the highest level is reached in the implementation of Artificial Intelligence and machine learning to achieve it.

At this point, data has a very important influence on the key business decisions of companies. Companies at this level are more agile, benefit from better integration with vendors and partners, and more easily use predictive and prescriptive types of analytics. All this leads to allowing yourself to get an advantage and differentiation with respect to your competition.

Best practices for the use and implementation of data analytics

Whether your company is going to get into data analytics in 2023, or if it is improving or increasing its practice, these guidelines for proceeding can be very useful. They are considered the best practices for data analytics in 2023, according to VentureBeat.

1 – Improve coordination between people and processes: Before testing new tools and technology for analytics, it is advisable to focus on improving the coordination between people and processes in the company. To do this, it is necessary to end closed and isolated departments, and promote a culture in which data is vital to achieve business objectives. It is also necessary to facilitate access to them, and avoid discussions about the information.

2 – Start with the basics and be clear about the objective to be achieved: After effectively coordinating people and processes, it’s time to specify what you want to achieve with the information available. Your company may have several objectives, so it is important to prioritize to ensure that resources are deployed in the best possible way. Always with the goal of achieving the highest ROI. Also, setting a clear goal can help users avoid the types of data and tools they don’t need.

3 – Audit critical capabilities: Companies would also need to do an audit of the critical analytics capabilities they have. This audit needs to include the ability to measure performance metrics as set targets, the ability to build predictive models, and the quality and granularity of the data you need.

4 – Focus on scalability: When choosing a data analytics tool, it is advisable to consider scalability. This will ensure that your tool continues to be useful to the company even if the volume of data it handles, the depth of analysis that is done with it, and the number of concurrent users grows to a large extent.

5 – Links to regulatory compliance: It is also important to connect and relate data analytics to regulatory compliance. This can help your company ensure that your users follow industry-specific security standards and governance rules when dealing with sensitive business information.

6 – Refine the models: Because business data is constantly changing, the models used to analyze the information should be refined from time to time. In this way, a company can ensure that it is up to date with the market environment and dynamics.

7 – Standardize the reports: Focusing on standardizing reporting tools across the enterprise can ensure that the reports and visualizations produced as a result of the analysis will look the same to all users, regardless of which department they belong to. Having different reporting formats often leads to confusion and misinterpretation.

8 – Data Storytelling: Although visualizations can offer enough information, organizations should also focus on making it more accessible through data storytelling. This can help all business users, even those without analytical skills, to use the information to make decisions.

9 – Schedule a training and skills update: To get the most value from data, it is important to maintain a data culture throughout the organization. You can achieve this through two-way communication, and also by training employees in the value of data and how they can use it to achieve better results.

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10 – Monitor the performance of the models: Data can age poorly over time, which can lead to issues with the performance of the models used to analyze it. That is why it is convenient to avoid this by reviewing its performance from time to time. Of course, to take advantage of the current capabilities of the models and maintain competitiveness, this makes it increasingly necessary for you to have systems and support from Artificial Intelligence and data engineering teams, and data science, of your company

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EIZO ColorEdge CS2400S, new 24.1-inch professional monitor

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The EIZO ColorEdge CS2400S is a monitor aimed at professionals that mounts a 24.1-inch panel and has, as you may have imagined, a resolution of 1,920 x 1,200 pixels. Its maximum brightness is 410 cd/m2, it has a contrast of 1,350:1, it reproduces 1,070 million colors and it is capable of covering the 99% of the Adobe RGB color space.

This EIZO model brings a series of clear improvements over the previous generation. Among the most important changes we can highlight the inclusion of a USB Type-C connector, that offers up to 70 watts of charge, and that we can use to charge a laptop while we use it with said monitor (simultaneous data and power).

Another important addition to the EIZO ColorEdge CS2400S is that it comes with an adjustment report that measures the state of the screen at the time of shipment, a feature that previously it was only available on CG series professional monitors.

Maintaining its commitment to the environment, EIZO has eliminated any type of plastic from the packaging and materials that accompany the wiring. This monitor is also more efficient, as it It has a consumption of only 26 watts.

The rest of its specifications are completed with a response time of 19ms, it has DisplayPort and HDMI outputs, it has a USB Type-C connector, as we have already said, it has two USB 3.0 and it has two other USB 2.0 ports. we can use it both horizontally and verticallysomething that the most creative professionals will undoubtedly like.

This monitor is mainly aimed at content creators, designers, video and photo editors, illustrators and cartoonists. It is height, swivel and tilt adjustable, which translates into good ergonomics and great versatility when it comes to integrating into different work spaces.

The EIZO ColorEdge CS2400S comes with a 5-year warranty covering each and every component, and is also subject to the zero bad pixel policy, which is covered for six months from the launch date. Taking into account the investment that we have to make to buy this monitor, it is totally normal, since its price in Spain will be around 800 euro.

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Microsoft Extends ESU Support for Windows Server 2008 and R2

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When an operating system ends its life cycle, Microsoft usually considers the possibility of offering extended support, which usually ends up being paid, or may be subject to some type of special condition. The latter is what has happened with Windows Server 2008 and 2008 R2, two operating systems that have ended their life cycle and are no longer supported in 2020.

The thing is that Windows Server 2008 and 2008 R2 still have a significant user baseand for this reason Microsoft has decided an additional year of support of the ESU type, acronym for “extended security updates”. This is good news for companies that still use the operating system, but it has one important condition, and that is that it will only be available to those who are Microsoft Azure customers.

This extended period of security updates will be active until January 9, 2024. If you are wondering if this will be a free program, I can tell you that it is not, and that Microsoft will bill it as it normally does with extended support programs.

In case you are wondering why so many professionals are still using Windows Server 2008 and 2008 R2 the answer is very simple, because in more than one case upgrading to a new operating system requires significant expenses that can derive from a hardware renewal, from a prolonged period of inactivity, from updating and developing new applications if necessary or from a little of everything that we have just said.

Microsoft has confirmed all the versions of Windows Server 2008 that will be able to benefit from this year of extended support, and we have listed them as is:

  • Windows Server 2008 R2 Service Pack 1 (SP1) and 2008 Service Pack 2 (SP2).
  • Windows Embedded POSReady 7.
  • Windows Embedded Standard 7.
  • All Azure virtual machines (VMs) running Windows Server 2008 and 2008 R2 operating systems on Azure, Azure Stack, Azure VMWare Solutions, or Azure Nutanix Solution.

It does not seem that they are going to give more extensions once this is finished, so if your company is using any of those operating systems you should be clear that time is running out, and that in a matter of a year you will be tied to an operating system without support that could become a time bomb in terms of security.

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Apple will abolish the position of Head of Product Design

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The departure of Jonathan Ive from Apple was one of the most shocking news of 2019, not in vain are we talking about what was Head of Product Design in that company, responsible for some of its most successful products, and a professional who was part of the bitten apple company for more than 30 years.

It is true that at first there was no complete break between Ive and Applesince both continued to work together through an independent agency founded by the former executive, but in the end both parties decided to put an end to their adventure, and a final separation was confirmed last July.

The position that Ive left was filled by Evans Hankey, but we know that this executive also plans to leave the company in the coming months. What will happen then with the position of Head of Product Design? The normal thing would be to look for a new professional that lives up to that position, but according to a new report presented by Bloomberg it won’t be like that.

The apple company will abolish the position of Head of Product Design, and the product design team will report to and report directly to Apple’s COO, Jeff Williams. To avoid internal problems, Apple will give more important roles to the designers of key products for the apple company, but it seems that this has not been liked by everyone, and that some employees are upset with Apple’s decision.

The truth is that, if we analyze the situation that existed previously, it is not as important a change as it might seem at first glance. Evans Hankey acts as the liaison for the design team, but in the end it depended on Jeff Williams and had to answer to himso with this move Apple would be eliminating an intermediate position that in the end would not be “essential”, and would simplify the hierarchical structure of the product design team.

It is also important to note that this change reinforces the position of Jeff Williams, a high-profile executive at Apple who many see as Tim Cook’s possible successor. We’ll see how the situation evolves, and if Apple is really able to get on without a Head of Product Design.

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