DOT GROUP DATA MANAGEMENT

Data Management Solutions UK

When looking for data management solutions UK for storing, organizing and managing your important data, there are many things you need to take care of. If you dive headlong into the first possible solution without carefully weighing your options, you may realize that penning a million dollar check to the solution provider could have been avoided. Before you invest in the so-called latest data management solution, you must understand that expensive technology is not always the best technology. There are many companies that provide solutions for managing enterprise data. You need to do certain things before deciding on which one to partner with.

Don't follow the herd

Many organizations choose to go for a particular enterprise data management solution because everyone in their industry is going for it. Sometimes it pays to not follow the herd and set a new standard. Solutions that cater to a particular industry may offer more refined benefits but may come at a premium price. Decide which are the most important features required in the solution, what will be the purpose of it and can you forgo some of the features. For instance, most people need solutions for managing data, to secure and store it, provide controlled access to it, get a log of all activities pertaining to data for the sake of regulatory compliance, easy data sharing, so on and so forth. Every data management solution offers these features and more. So if you don't need any specialized solution, we advise you to refrain from buying premium software that targets a special niche.

Understand what's on offer

Data management services UK have become an important necessity these days with ever increasing federal and state laws, security threats and collaboration issues. Many solutions for management of enterprise data promise the moon and show all kinds of direct and indirect solutions to lure the client. The problem is that most organizations do not know how to make the best use of expensive technologies available for managing data, the solution provider offers. It takes time for people to adapt to changes and adopt new technologies, which does not allow them to make the best of it.

As a decision maker, you must understand what's on offer, how will it help your organization and how will it make a difference. You must ensure that the offer can help solve your immediate data management, security and regulatory issues as well as your communication and collaboration problems. You should also ensure whether it is simple enough to use and will be accepted by your people or not. Remember, like most organizations you might not need excessive technical features, all you might need is a simple solution for your day to day activities, which might come at a fraction of the cost that you were prepared to spend.

Consult and train users

By combining technical and business processes to merge data into valuable information, data integration delivers trusted data from several sources to help marketers build a clearer picture of their target market.

By combining technical and business processes to merge data into valuable information, data integration delivers trusted data from several sources to help marketers build a clearer picture of their target market.

The process of data integration involves various steps - discovery, cleansing, tagging, cataloguing, monitoring, transforming and delivery of data. Data integration plays a vital role in marketing analysis by consolidating various data sources and enabling marketing analysis. Marketers can deliver personalised offers and services and contribute positively to the growth of the business if they have a 360-degree view of customer data. This is only possible if data is integrated and made available to the right people at the right time.

Unstructured data from social media, emails and mobile sources is growing. According to projections from IDC, 80 percent of worldwide data will be unstructured by 2025. The success of a marketer is highly dependent on leveraging this data and using it to deliver personalized messaging, services and offers. Data integration plays a key role in converting this unstructured data into useful information.

Why data integration is critical for marketing

With the amount of data available already at an overwhelming level, it can be difficult and time consuming for marketers to locate relevant data for their marketing campaigns. To execute a successful marketing campaign a marketer must do the following: Data Storage Management Solutions, Top Data Storage Companies UK, data storage companies in the UK, data storage management solutions uk,Data management services UK, Data management solutions Uk, Best document management software uk.

1. Attract 2. Engage 3. Convert 4. Retain

By implementing data integration, this campaign process can be simplified thanks to the following benefits:

A single source of information-- Having data integration in place provides a single source of information that marketers can manage and optimise to suit their campaigns. By combining data from all sides of the business, data integration delivers an overall picture of the customers data.

Removal of tedious tasks-- By giving a clearer overall picture of target market trends, data integration makes the campaign process easier for the marketer who will spend less time locating and extracting this data themselves.

More time to delve deeper-- With a central source of information, data integration also provides the marketer the option to delve deeper into the data, allowing more focus to be put on building relationships and retaining business.

How data integration can help connect you to customers

Market trends- Collection of information from resources and integrating them in a useful way can help gain an insight into upcoming trends in the market. By connecting with customers at this early stage, it becomes easier in achieving a higher customer satisfaction rate. Data integration improves with this by playing a major role in suggesting products and services according to the users’ previous purchases and interests. With the proper use of data integration, marketeers can categorise users according to their preferences and adapt accordingly.

Market segments- Implementing data integration to asses market segments automatically increases the opportunity for sales and can also put the company in a prominent market position of similar products or services. It works by measuring what products are providing the best return from customers.

This reduces time spent on research, increases customer satisfaction and gives companies the opportunity to increase their availability of preferred products and services. Data integration also incorporates predictive analysis allowing companies to predict popular goods before releasing to market. With this, companies can improve sales and look to be one step ahead of the competition.

Worried about implementing data integration tools?

Putting data integration into place may seem like a daunting step, however it is much simpler and risk-free than most would expect. The below reasons explain why data integration is a no brainer for your business.

Available on any system- Data integration solutions could interact with any system meaning your business won’t have to modify or spend more on the systems already in place. This also means that adding the data integration solution will not comprise or disrupt any security measures.

Cost effective- Not only can data integration automate manual data matching tasks, it enables application of data governance and create a lineage. This means data is available, more accurate and can be trusted to do more. This gives the opportunity for marketers to spend more time on other useful tasks.

Where is data stored? Is sensitive data secure? Worried about an upcoming audit or facing the challenge of data integration across peta bytes of data spread across disparate data lakes. The DOT Group helps you detect and resolve any data related challenges so you can monetize your big data asset.

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The value of data is growing, yet visibility into today’s storage environments can be foggy and unclear. This is usually the result of expanding IT complexity, escalating user demands and exponential data growth. Many IT organisations lack a true understanding of their storage infrastructure, negatively impacting their ability to make informed decisions and causing storage utilisation rates to hover around 50 percent.

With the cost of managing storage infrastructures significantly higher than the cost of purchasing storage capacity, organisations need new approaches to managing their data environments.

Download the brochure to see why Client Data Storage Assessment (CSA)  is essential for your data migration, re-engineering project.

What to expect from a  Client data storage assessment (CSA)?

All assessments are completed using a light-touch metadata only approach to data collection that has been tried and tested globally with thousands of customers in multi-vendor environments. Produced within 3–5 days of data collection and combined with a follow up workshop, this is an ideal way to visualise how your storage and backup capabilities could align with the demands of your business

A true reflection of your current storage environment in terms of issues, configuration, capacity, consumption, utilisation & efficiency metrics.An optimized strategic configuration that delivers improved levels of service coupled with maximised levels of capacity utilisation & efficiency. A financial business case substantiating the savings that can be realised by aligning to a proposed strategic solution versus continuing as is today.

How DOT group can help?

Client Data Storage Assessment is a data protection platform that gives organisations a single point of control and administration for storage management needs. It enables outstanding efficiency, simplicity and scalability for virtual, physical and cloud backup environments of all sizes. The Dot Group  can complete storage assesment exercise and provide you a complete visibility of your data assets within 2-3 weeks at no cost. This is a complementarty offering fo you to take the first step towards managing your data well and monetising it.

The question that gets to the heart of this is: “Are you confident you know what you’ve got lurking around your networks, and where?” However, this risks oversimplifying what is an incredibly versatile business asset. Let’s examine where we are today, and why Discovery is a tool you should be relying on. So what are typical use cases for intelligent discovery software?  

What is Customer Data Integration?

Customer Data Integration (CDI) is the process of consolidating and then properly managing information about your customers from all available business sources, including.

Contact details Financial data associated to that client Information gathered through marketing activities.

Why is Customer Data Integration important?

Customer Data Integration is a key part of Customer Relationship Management. If conducted properly, CDI ensures that all departments in the company have constant access to the most current and complete view of customer information.

This access and singular, complete view of your customers across the organisation helps to drive:-- Improved customer retention by creating a personalised customer service with customer facing employees having a detailed view of all their interactions with the organisation. A more tailored journey for marketing and sales communications – increasing the chance of them converting.

How is Customer Data Integration related to data quality?

As the average organisation’s IT stack becomes more and more complex, well-delivered IT service management (ITSM) is increasingly mission critical to the business. ITSM gives an IT department a way to improve internal processes, address and understand the individual needs of different business units, provide more value to its customers, and ultimately move the organisation forward. It is usually the primary point of interaction between an IT department and the rest of an organisation, and as such is vital to get right. In this article, we’ll take a look at what’s coming round the corner in service management, and how you can benefit today.

Where do cognitive capabilities fit into my business?

Imagine a service desk with embedded cognitive capabilities that allowed you to automate repetitive, mundane tasks and free up expensive resources for innovative and people-focused work. The future of service delivery is one where enterprises make full use of intelligent systems to achieve new levels of agility, productivity, and efficiency. Enterprise IT specialist BMC have dubbed this the “Cognitive Revolution” and predict a joined-up, centralised infrastructure that intelligently makes the leap between multiple clouds and on-premise environments, as well as moving adeptly between channels and devices. This paves the way not only for customers to choose their channel of choice when engaging with an organisation, but also its employees to work and communicate in the way that feels most natural to them - without having that dictated to them.

However, cognitive capabilities built into applications are no longer futuristic.  An IDC FutureScape report predicts that 75% of workers will be interacting with intelligent digital assistants by 2019, and that by 2020, productivity gains made by the integration of artificial intelligence in the workplace will amount to US$60bn per year. Consider, for instance, enterprise chatbots powered by artificial intelligence that allow smart querying through natural language processing. Their applications span multiple departments - not least the IT service desk, where the advent of chatbots capable of showing emotion means that you can now outsource and automate the human side of IT service delivery, where soft skills and empathy are required in order to pave the way for a successful resolution of an issue. Or the AI-powered virtual assistant currently bundled with certain levels of the Sage accounting software that enables small business owners to ask questions like “Am I on track to hit payroll next week?”, or “Will I have enough cash to hire an extra person next month?”. These innovations are already here, and it is beholden on us to explore the possibilities they open up.

Is it all about technology, though?

Whilst new technologies are always going to be at the front of discussions about revolutionising IT service management, there remains a lot of scope for transformative change in the way that IT teams interact with the rest of an organisation. There is a strong argument that in today’s world, static, hard-baked SLAs are outdated. Think about it - with increasing dependence on cloud services, the adoption of Agile and DevOps methodologies, or crucially, the transference of consumer expectations of services and support into the workplace, the way IT services are procured, delivered and consumed has changed radically, and with it the positioning of an IT department. So is it time for a rethink?

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At the very least, SLAs ought to be seen as living documents, constantly revised with new changes to processes, resources and technology, to keep them up-to-date and accurate. At best, they should be viewed as respect-based, with stripped-back templates to gather requirements, with systems, software and processes tested iteratively against those requirements, and feedback constantly sought from end-users throughout testing and use, in order to constantly revise requirements and any resulting SLA(s). What would our IT teams look like if this were the approach we took with the rest of the organisation?

Make sure you’re not left behind

As will be evident, emerging technologies have transformative potential in the service management space. The hallowed combination of improving service whilst simultaneously delivering at a lower cost really needn’t be seen as futuristic utopia anymore, and many company boards are expecting CIOs and heads of IT to be exploring and innovating in these areas. Whilst large-scale transformation takes time, borrowing the iterative DevOps/agile approach means even small steps are valuable to experiment and test concepts. The cognitive revolution is coming, and those who move quickly will reap the rewards.

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Data management solutions and systems that help to deal with and manage the full data lifecycle needs of your company. Manage the development and execution of architectures, policies, practices and procedures with the data management systems found on dotgroup.co.uk.

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Dot Group- Data Management Solutions Website- https://www.dotgroup.co.uk/ Email id- [email protected] Call us- +44 (0) 207 352 8423

is continuously transforming the way we live. Everything we do and every advancement we make as humans is marked by a leap in technology. Every top global industry is constantly trying to mold itself according to the rapidly changing technological advancements. The finance and banking sector has also felt the need to change the dynamics and modify its style of working by embracing new technologies. It has undergone a massive change in operations because of technological innovations and the change in regulatory requirements. RPA and AI are the latest technologies today redefining how banks operate by automating processes such as Know your customer (KYC) and personalizing customer services.

RPA has been recognized as the fastest growing segment of enterprise software with 63% growth in 2018 - Gartner.

Significance of RPA in the banking sector?

RPA addresses the key challenge of attaining efficiency but keeping costs as low as possible. But within the banking sector, this goal comes with an additional complexity of maintaining optimum security levels. To meet these demands, RPA (Robotic Process Automation) has become an effective tool. It has taken forward the transition from service-through-labor to service-through-software.

The financial sector has adopted robotic process automation –  most banks in the UK now follow a process of integrating web robots for increasing efficiency and accuracy of data. And all this while cutting costs and reducing risk of non-compliance and security breaches. Web robots are, in simple terms, software applications designed to emulate what humans can do, but faster, error-free and more efficiently. RPA is finding application in not just banks, but other related financial services as well.

RPA technology  for banks explained

RPA is an acronym for Robotic Process Automation. As suggested by the name, it’s the use of software robots to automate mundane, repetitive tasks. RPA uses software robots or software to perform several tasks like automating transactions, data-processing, establishing communication with systems, performing huge calculations without errors, and fast problem-solving. The banking industry is exploring the potential of this technology in order to breakdown proper jobs, reduce human-induced labor, continuously increase productivity, improve efficiency, and perform rather time-consuming jobs faster. RPA tools and software are capable of mimicking human actions and replicate them to perform tasks that are repetitive in an accurate manner. RPA has proven to be quite efficient in handling work overflow and tasks involving heavy data. Some examples of use of RPA in the banking sector include -  

Collecting and validating customer data for KYC 

Automating the process of onboarding a new customer – RPA is being used in the Retail Banking scenario to collect information from the customer, provide data to the customer service exec in the bank to be able to take a decision on opening an account, approving a loan application, conducting the credit checks and more. 

RPA has been used to automate anti-money laundering checks. To keep track of data and its audit trail for compliance purposes and meeting regulatory standards. These are just a few banking processes that are good candidates for RPA Automation.  

For more RPA banking and financial sector solutions please visit this page - https://www.convedo.com/solutions#solutions

Benefits of using RPA in banking

Ever since RPA’s introduction to the financial world, it has become a force to be reckoned with. The virtual workforce has successfully helped banks minimize and in many cases, eliminate human intervention to a large extent in the execution of earlier human labor heavy tasks.

Faster decision-making and improved operational efficiency are huge pros of adopting RPA technology. By automating much of these time taking, tedious, manual tasks from humans, banks and other financial institutions have been successful in significantly reducing the dire need for human involvement in every step of the way. This has also resulted in humans focusing on more value-added tasks such as improving customer services. This has a direct positive impact on everything from financial performance and cost management to staffing and efficient working.

Banking calculations, accounts matching,  scenario analysis, predictive analysis and other activities particularly involve high risks of human inaccuracy and errors. With the help of RPA software, these challenges are being tackled effectively.  Using RPA in banking, financial and related sectors has helped reduce overhead and operation costs and dramatically decreased workload which in turn, has increased the efficiency of the employees. Time-consuming and lengthy tasks can now be performed within a very short period.

What does RPA involve?

For banks, RPA involves identifying the right processes to automate. We have listed some examples above but it is being used in loan rendering, underwriting, account onboarding, creating personalized offeres for customers, trial balancing and much more. RPA applied to a suitable process in conjunction with AI could automate the whole process end to end and call upon human attention only when an exception is raised. But how do banks get the best from their RPA investment? What is involved in a good RPA implementation. We have tried to answer this question separtely in our Blog – 9 ways to establish an RPA Centre of Excellence (COE). However, in short for banks, RPA implementation should involve –

Identifying the right process to automate