Telecom analytics is a form of business intelligence precisely applied and packaged to fulfill the multifaceted requirements of telecommunication organizations. Telecom analytics is aimed at decreasing operational costs and maximizing profits by increasing sales, reducing fraud, and improving risk management. The adoption of analytics in telecommunications is proposed to enhance visibility into internal processes, core operations, and market conditions, distinguish trends and generate forecasts. This report features information on telecom analytics and services offered by key vendors. Furthermore, it highlights the strategies adopted by key market players to improve the market share and sustain competition. Key players profiled in the market include SAP SE, Oracle, SAS Institute, Teradata, Tibco, Adobe, Cisco, IBM, Tableau, and Sisense

The report analyzes the Tea market in accordance with type, packaging, distribution channel, application, and Region. It includes the revenue generated from sales of tea across North America, Europe, Asia-Pacific, and LAMEA. In addition, a detailed description on various tea types, such as green tea, black tea, oolong tea, fruit/herbal tea, and others, along with different packaging available for tea, that is, plastic containers, loose tea, paperboards, aluminum tins, and tea bags are included. Moreover, the different distribution channels of tea, namely, supermarkets/hypermarkets, specialty stores, convenience stores, online stores, and others are described in detail in the report. The major applications of tea, that is, residential and commercial, are also explained thoroughly. To present a detailed market assessment, this study also considers factors that influence the Tea market, which include the trends, drivers, restraints, and opportunities while predicting the revenues from 2019 to 2026.

Lubricant is a substance used to control or reduce the friction between two surfaces of engine component or machinery. Synthetic lubricants are formulated from synthetic base oil that replaces mineral oil from crude oil such as esters, Poly Alpha Olephine (PAO), and others. They are generally characterized as oily and liquid material not directly derived from petroleum but shows similar properties to petroleum lubricants. These lubricants help control the vehicle temperature by absorbing the heat generated by moving parts of the vehicle and transferring it to the sump or cooler. Collectively these factors help in enhancing the overall vehicle life cycle.

国外疫情冲击最大时期基本已经过去，全球产业逐渐步入复工阶段。国内五地区疫情风险出现反弹，其他地区进一步推进全面复工复产。4月信贷数据与社融数据好于市场预期，前期相关支持政策颇见效果。发电耗煤、高炉开工率等数据表明国内生产恢复较快，用电量、货运量、社会消费品零售额等数据的同比降幅有所收窄。国内需求恢复整体弱于生产。“两会”召开时间5月21-22日，政策预期向好有助于提升市场风险偏好，但需警惕地缘政治风险。货币政策方面，此前政治局会议直接提及降息等措施，货币政策继续宽松的方向不变，但节奏可能更加灵活。财政政策方面，财政赤字或会进一步扩张，发行抗疫特别国债并继续发行地方政府专项债以刺激新、老基建共同拉动投资。

运动鞋服仍处于快速成长阶段，竞争格局持续优化。2019 年国内运动鞋服市场增速达17%（VS 全球运动鞋服市场7%的增速），规模达到459.5亿美元，且未来5 年仍然能保持CAGR9%-10%的速度成长。“龙头彼此对话”的竞争格局持续优化：2019 年CR5 达到72.8%（2018 年为69%），国内龙头安踏集团/李宁集团市占率分别达到16.4%/6.3%。申洲国际前4 大客户分别为耐克、阿迪达斯、优衣库和PUMA，2019 年四大客户贡献了申洲超过80%的收入体量。

房地产开发投资快速修复。 1-4 月累计投资金额33103 亿元，同比快速修复至-3.3%，4 月单月增速达7%。西部地区率先转正，东北位列第二，东部和中部反弹略显疲态不及3 月。

中国房地产行业自“98 房改”后起伏二十余载，有企业乘杠杆之风登行业顶峰，也有企业遭杠杆反噬万劫不复。房地产“黄金时代”，“三高模式（高收益、高周转、高杠杆）”是许多规模房企赖以发展的根基。进入增速换挡的“白银时代”后，过高的债务规模反而会侵蚀企业利润，损害公司的资产负债表，影响公司的可持续发展。正所谓“成也杠杆，败也杠杆”，在当下时点，从债务的角度出发来研究房企的经营情况就显得尤为重要。在本篇报告中，我们试图通过回答以下几个问题来剖析行业融资债务现状和未来可能的演绎路径。

得益于资金支持以及预期向好，行业供给侧链条上各个环节持续恢复。4月新开工、投资增速环比提升明显，印证我们前期“硬核反弹”的判断。4 月单月新开工面积约1.96 亿方，同比降幅大幅收窄9.1pc 至-1.3%。销售预期明朗化后，前期积压的开工需求（Q1 同比-27.2%）迎来集中释放。1-4 月行业施工面积增速环比微降0.1pc，但4 月房地产投资增速环比+5.8pc 至7.0%，推测系施工投资强度以及土地购置费增速继续提升。